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Waste Management, Inc., through its subsidiaries, provides waste management environmental services to residential, commercial, industrial, and municipal customers in North America. It offers collection services, including picking up and transporting waste and recyclable materials from where it was generated to a transfer station, material recovery facility (MRF), or disposal site; and owns, develops, and operates landfill gas-to-energy facilities in the United States, as well as owns and operates transfer stations. As of December 31, 2021, the company owned or operated 255 solid waste landfills; 5 secure hazardous waste landfills; 96 MRFs; and 340 transfer stations. It also provides materials processing and commodities recycling services; recycling brokerage services, such as managing the marketing of recyclable materials for third parties; and other strategic business solutions. In addition, the company offers construction and remediation services; services related with the disposal of fly ash, and residue generated from the combustion of coal and other fuel stocks; in-plant services comprising full-service waste management solutions and consulting services; and specialized disposal services for oil and gas exploration and production operations. The company was formerly known as USA Waste Services, Inc. and changed its name to Waste Management, Inc. in 1998. Waste Management, Inc. was incorporated in 1987 and is headquartered in Houston, Texas.

Waste Management

wastemanagement

KUALA LUMPUR: The National Circular Economy Council (NCEC) has agreed to a legislative transformation to ensure the circular economy for solid waste management can operate smoothly nationwide.

NCEC agrees to waste management law reform | The Star

Naza Corp Holdings Sdn Bhd has completed the acquisition of a 100% stake in Berjaya Enviro Holdings Sdn Bhd (BEnviro) from Berjaya Corp Bhd for RM700 million in cash, marking its entry into the green economy with a focus on municipal and scheduled waste, as well as the waste-to-energy sector.

Naza completes acquisition of waste management company from Berjaya for RM700m cash

In today's digital world, we're witnessing a significant increase in eco-initiatives, each designed to enhance environmental sustainability and integrate greener practices into our daily lives. These innovative endeavors are transforming traditional practices, infusing technology and creativity into environmental conservation. Today, I’m excited to introduce Sergey Shayakhmetov, the founder of , whose vision is reshaping how we approach waste management. In this insightful interview, Sergey delves into the technologies powering the transformation of waste management, and their impact on user behavior and environmental sustainability. Binpong How did the idea of Binpong originate, and what inspired you to gamify the recycling experience? The concept was born from a straightforward yet impactful realization: while recycling is essential, it's often viewed as tedious. We set out to change this perception. Drawing inspiration from apps like SweatCoin, which turn physical activity into a game, we recognized the potential to do the same with recycling. Our aim was to elevate recycling beyond its environmental benefits, making it both enjoyable and rewarding for individuals. By incorporating gaming elements and incentives, we've reimagined recycling as an exciting and fulfilling activity. Our strategy is to encourage sustainable behaviors by integrating them into everyday life as enjoyable experiences. Could you delve into the technology behind the app and explain how it works? The process involves three simple steps. First, users take a photo of their recyclable item, such as a bottle, near a recycling bin and submit this image through the app. Upon successful submission, users automatically receive tokens as a reward for their recycling efforts. These tokens can then be exchanged within the app's marketplace for various goods and services. This system not only incentivizes recycling but also creates a tangible link between responsible environmental actions and immediate rewards, encouraging users to participate actively in recycling activities. Our current focus is on enhancing user experience and accuracy in waste management, while the integration of blockchain technology is paused due to regulatory compliance issues. The AI-driven features at Binpong include: Bin Evaluation: This feature utilizes AI to accurately distinguish between recycling bins and general waste bins, as indicated on our map. This ensures users receive dependable information. AI-Generated Bin Descriptions: Leveraging Generative AI, the app offers comprehensive descriptions of recycling bins. These are created from images uploaded by users and include details on location, the types of materials accepted, and specific usage instructions. Recycling Verification: A key aspect of our platform is the verification of recycling actions through AI. It analyzes photos submitted by users to confirm whether recycling guidelines are being correctly followed. This verification is a fundamental part of our rewards system. In a sea of recycling initiatives, your platform stands out with its gamification model. How does turning recycling into a game set it apart, and what impact does it have on user engagement and participation? Imagine tossing a bottle into a recycling bin and feeling like you’ve just scored the winning goal in a game. That’s what we do – make recycling an exhilarating, reward-filled adventure. It’s not just about being eco-friendly; it’s about having a blast while doing it. Our approach transforms mundane recycling tasks into a thrilling game with levels, rewards, and a dash of friendly competition. Users are not only recycling; they’re also vying for top spots on leaderboards and forming teams, turning it into a social, community-driven activity. This fun factor significantly ramps up participation. People who might have shrugged off recycling are now eagerly joining in, drawn by the excitement and instant gratification of our gamified system. Plus, it’s not just a one-time thing. This addictive gaming element is turning recycling into a daily, joy-filled habit. In essence, this is where saving the planet meets the fun of gaming, creating a vibrant community of eco-heroes who are as enthusiastic about earning points as they are about protecting the environment. How do users receive rewards? What mechanisms or processes are in place for users to earn rewards? Users begin by locating a recyclable item, disposing of it in a recycling bin, and capturing the action using the app. The app’s AI then verifies the recycling activity and awards users with Pongs, a form of digital currency. These Pongs can be used within the app's marketplace to access various offers and discounts provided by eco-friendly partners. So, the process for users to receive rewards is both engaging and environmentally conscious. Moreover, the app fosters a sense of community and friendly competition. Users can join forces with friends, forming groups to undertake collective recycling challenges, thereby earning additional Pongs. The app also introduces special challenges and competitions, adding an element of excitement to the recycling process. Thus, recycling is transformed into a rewarding and sociable activity, contributing to environmental conservation. How are you fostering a sense of community among users, and how does the power of collective action contribute to the platform's mission? The concept of recycling transcends individual action and transforms into a collective eco-movement, powered by the formation of clans. These clans, akin to eco-justice leagues, unite users in a shared mission to excel in recycling efforts. Each clan is more than a team; it's a vibrant community where members exchange tips, encouragement, and stories of recycling victories. The platform introduces an exciting twist with clan challenges, turning recycling into a friendly yet impactful competition. It's not just about individual accolades; it's about visualizing the collective impact of combined recycling endeavors. In this sense, it's a crusade for environmental sustainability, where each clan and its members play a crucial role in the fight against waste, contributing to a cleaner, greener planet. With the incentivization of recycling, how have you observed shifts in user behavior, and what measurable impacts has the platform had on waste reduction and environmental sustainability? Since launching Binpong, we're still in the early days to pinpoint a definitive shift in user behavior. Nonetheless, there's a notable global interest, ranging from Namibia to Sweden, and from Osaka to Dubai. Particularly impressive is the significant engagement in Japan, a country with high recycling benchmarks, where users have notably embraced the app, forming its most active group. This broad enthusiasm, particularly in Japan, suggests a wide-reaching appeal for the gamified recycling model. Although it's the initial phase, the widespread adoption indicates that the platform is successfully making recycling an engaging and rewarding global activity. How do you establish partnerships? What criteria or requirements do potential partners need to meet to collaborate with the platform? In our approach to partnership, the emphasis is on aligning with businesses that share a commitment to sustainability and innovation. The focus is on collaborating with companies from various sectors, such as gaming, mobile apps, aggregators, and neo-banks, who are enthusiastic about eco-friendly initiatives. The ideal partners are those who not only align with our environmental goals but also bring a unique and engaging experience to users. The objective is to integrate technological advancements with ecological commitments, ensuring that each partnership contributes significantly to promoting recycling on a global scale. What is your long-term vision, and how does the platform aim to address broader waste management challenges? Are you planning to add new features? We are setting our sights on becoming a major player in waste management, with an ambitious vision to make eco-friendly practices as engaging as a high-score challenge in a game. The goal extends beyond recycling common items like bottles and cans. Plans include integrating diverse waste management solutions, such as composting initiatives and reducing single-use plastics, utilizing smart data for more efficient waste handling, and collaborating with community figures to simplify recycling processes. Future enhancements for the platform involve interactive challenges, enticing rewards, and fostering a community atmosphere, all aimed at making environmental responsibility an enjoyable and widely embraced endeavor.

Revolutionizing Recycling: Turning Waste Management Into a Digital Game

As the world's population grows, finding ways to reduce waste and conserve resources is becoming increasingly important. Governments, businesses and individuals work together to implement efficient and sustainable waste management technologies to achieve this goal. The problem of waste is an increasingly severe environmental issue worldwide. reports that by 2050 humans will produce 3.4 billion metric tons of waste annually. Therefore, it is essential to address this growing problem; experts in and innovative technologies can help revamp waste handling and disposal for enhanced efficiency and environmental protection. Statista sustainability consulting What is waste management technology? Software development and innovative technologies are playing a significant role in improving waste management. Waste management technology refers to the various methods and techniques used to manage, treat, and dispose of waste materials in an efficient and environmentally friendly manner. It includes solutions powered by advanced sensors, automation, artificial intelligence and other technologies that are used for collecting, sorting, recycling, composting, incinerating, and landfilling waste. Waste management technologies are vital to unlocking a range of environmental benefits. Here are some of the most common ones: Amongst the most significant is an – helping to ensure that rubbish is gathered and dealt with promptly and effectively, minimising the amount of waste that ends up in landfills or pollutes the environment while maximising resource recovery and energy generation from waste. efficient waste collection Another benefit is utilizing waste-to-energy plants to drastically. These innovative facilities convert waste into energy and effectively decrease greenhouse gas emissions - a crucial step towards preserving our planet for future generations. reduce detrimental environmental impact Implementing improved waste management methods can significantly by mitigating potential risks associated with disease and contamination from neglected refuse materials. improve public health outcomes According to the , out of the 40 million tons of plastic waste produced in the US during 2021, a mere fraction ranging between five to six per cent, equivalent to approximately two million metric tonnes, has been recycled. The adoption of waste management technologies can result in a significant . Thus, not only reducing the amount of waste in landfills but also conserving natural resources and curtailing the need for additional landfill sites. World Economic Forum increase in recycling rates Overall, waste management technologies provide various ecological advantages that help protect our planet for future generations. Waste Management: key technologies and real-life applications The latest waste management technologies positively impact the environment by helping to tackle global problems sustainably. These cutting-edge solutions are designed to adapt to the needs of modern businesses, cities and urban landscapes and are implemented worldwide. Here are some of the most promising: 1. Waste management applications Waste management applications are the ultimate solution for individuals and businesses seeking to manage waste efficiently and sustainably. These apps offer many features that simplify waste management, from tracking production levels to identifying optimal disposal options. Whether on a smartphone, tablet, or computer, there are numerous waste management apps. While all these apps offer similar functionality, mobile apps are more convenient for users who require access to waste management information while moving. Additionally, businesses may wish to consider developing their own custom app tailored specifically to their unique needs to maximize efficiency and minimize waste. Some common features of mobile and desktop waste management apps include: – helps users reduce the amount and type of waste they generate over time. By tracking their waste output, users can identify patterns and areas where they can make changes to reduce their overall impact. Waste tracking – apps can offer invaluable tips and advice on reducing your waste footprint, from recycling strategies to composting techniques and beyond. Waste reduction tips – apps can help users discover how to dispose of various types of waste, such as hazardous materials or electronic waste. Disposal options – users can generate reports on their waste management practices, which can be essential for businesses or organizations looking to track their sustainability efforts. Reporting At ELEKS, we have successful implemented this technology. Our client eTracks launched its Sustainable Recovery Platform – powered by ELEKS – to help manage recyclable materials, organisations' compliance with regulations, and resource recovery data accuracy. The platform aims to divert waste from landfills and support a circular economy. Read more about the solution here: . A Comprehensive Data Management Platform to Manage Recycling Processes Data from End to End 2. Smart waste bins If you're looking for a way to modernize your waste management system, installing smart bins is the answer. Smart waste bins are equipped with sensors and other advanced technologies, like artificial intelligence of things, computer vision, robotics, etc., that enable them to collect data on the amount of waste being generated, monitor fill levels, and optimize collection routes. These hi-tech containers can detect when they need to be emptied and alert users accordingly. Waste sorting is an integral part of environmentally-conscious waste disposal, but many people make mistakes when disposing of their waste materials. Artificial intelligence-powered smart bins can help eliminate human error and make the process more efficient. These smart bins can differentiate between recyclable materials and regular waste, making it easier for us to recycle properly. This technology is already being successfully implemented in many real-life scenarios. For example, , smart waste bin, sorts and compresses waste automatically, controls the fill level, and processes data for convenient waste management. Another example is smart bins that use solar power to compact waste and send notifications when they need to be emptied. As more and more businesses adopt these technologies, it becomes clearer that they are highly effective at streamlining operations and reducing costs. Bin-e Bigbelly 3. AI and robotics waste sorting AI waste sorting refers to using artificial intelligence technology to sort and classify different waste materials. It involves the use of computer vision, machine learning algorithms, and robotics to identify and separate recyclable materials from non-recyclable ones. The process begins with a camera or sensor system that captures images of the waste material as it moves along a conveyor belt. The AI system then analyses these images using pattern recognition algorithms to identify different types of materials, such as plastic, metal, glass, paper, and organic waste. Once identified, the AI system directs robots or other mechanical devices to pick up and sort each type of material into designated bins or containers. This automated process is faster and more efficient than manual sorting methods, reducing labor costs and increasing recycling rates. For instance, , a multi-utility company in Italy, set out to capture footage of incoming garbage to automate trash identification using AI technology for reuse and recovery purposes. Another example is German startup , which makes autonomous trash-picking robots that use AI and machine vision to identify and automatically pick up cigarette butts, bottle caps, or plastic scraps in parks. The sensors help the robot avoid collisions during autonomous navigation while also reducing the time spent by cleaning personnel so they can focus on other demanding tasks. HERA Angsa Robotics Key takeaways Waste management technology is vital to addressing the burgeoning problem of waste production, conserving resources and safeguarding the environment. The advantages of waste management technology include more efficient waste collection, exploiting wasted energy plants, enhanced public health outcomes and an increase in recycling rates. Waste management technologies, such as waste management applications, smart waste bins, and AI and robotics waste sorting, are already being implemented globally, offering numerous ecological advantages that help protect our planet for future generations. Looking to take your business up a notch and make your operations more sustainable? Get in touch with our experts today! Also published . here

Boosting Business Sustainability Through Waste Management Technology

Impulsar la sostenibilidad empresarial a través de la tecnología de gestión de residuos

Stimuler la durabilité des entreprises grâce à la technologie de gestion des déchets

अपशिष्ट प्रबंधन प्रौद्योगिकी के माध्यम से व्यावसायिक स्थिरता को बढ़ावा देना

廃棄物管理技術で事業の持続可能性を高める

Impulsionando a sustentabilidade dos negócios por meio da tecnologia de gerenciamento de resíduos

Thúc đẩy sự bền vững của doanh nghiệp thông qua công nghệ quản lý chất thải

通过废物管理技术促进业务可持续性

HackerNoon Reporter: Please tell us briefly about your  background I am a software engineer with a strong passion for mobile. I’ve been developing apps since the first iOS SDK and never looked back. I have also played other roles, such as Product Manager and Product Owner for Startups and Product Companies. I consider myself a product-oriented CTO. What's your startup called? And in a sentence or two, what does it do? Our Startup is called RecycleSmart and we are ‘Uber for Waste.‘ You book a pickup, prepare your (hard to recycle) waste, and we collect it and dispose/recycle it for you. What is the origin story? We had a similar startup, also 8 years ago. We were inspecting peoples’ bins to determine contamination rates. It was very expensive and we weren’t solving any problems. Sending people feedback after the inspections wasn’t enough in the council’s eyes. After two years we had to shut down. My Co-founder and I were stuck with the problems of shutting down. Knowing that there was much more to do in the space, and if it wasn't going to be us, someone else would have done it. So after 5 years of playing in the education space for the waste industry, we got our chance with the Anlter program.. a famous incubator in Sydney. This time we decided to collect and sort people’s waste from their houses. And here we are. What do you love about your team, and why are you the ones to solve this problem? My team is composed of people who are really passionate about recycling. It’s our opportunity to do something good, and it’s really rare. I don’t want to work for banks anymore. We are unique because we are a plug-and-play business. In the government space, the hardest thing is to do is to get contracts. We managed to do it because we don’t cost much and we don’t lock councils in endless contracts. We operate differently from big collectors in the industry. We don’t recycle anything ourselves - we are just the last mile logistic. We do collection and sorting for single households. Then we leverage the existing local infrastructure for recycling the items we collect. If you weren’t building your startup, what would you be doing? Probably building something else. At the moment, how do you measure success? What are your core metrics? Two simple metrics: how many new councils we acquire over 3 months and how many bags we collect per council per user per month. Sounds hard but it’s quite simple. We are growing, so if the numbers keep on going up we are doing a good job. What’s most exciting about your traction to date? The fact that we have an almost 60% retention rate! What technologies are you currently most excited about, and most worried about? And why? Flutter - I am excited because it’s super easy to produce awesome results! I am very scared by Flutter because of the famous Google graveyard. What drew you to get published on HackerNoon? What do you like most about our platform? I got invited. However, I have used the platform many times in the past.  It’s very well known in the community and it’s a privilege to get some recognition for hard work. What advice would you give to the 21-year-old version of yourself? Be strong and patient. What is something surprising you've learned this year that your contemporaries would benefit from knowing? Mental Health is the most important thing for a startup founder. Coping with the ups and downs may not be something you are ever ready for. Vote for RecycleSmart as the . Startup of the Year, Sydney

'RecycleSmart is Uber for Waste Management,' says Marco, CTO and Founder

One-third of the total food produced is wasted according to the . It is approximately 1.3 billion tonnes and food scarcity is one of the major concerns globally. Isn’t it strange and funny? Food And Agriculture Association of the United Nations Once this issue came into the spotlight, 10 world’s largest food concerns like Unilever and General Mills pledged to share the success of their programs related to the curbing of food waste. Are you also facing the issue of excessive food wastage at your place? And looking for some innovative ideas to curb the food waste? In this blog we will be answering the following questions for every business operating in the food industry: What is the best technology for curbing food waste? What will happen if I do not follow a proper food wastage management process? What can AI do for reducing food wastage? What are the latest AI-Based applications available in the market which I can use for curbing food waste at my place? Are there any conglomerates which are using these AI-based apps? Companies all over the world are working on this issue after the United Nations told the world four years ago to half the total food wastage by 2030. There can be dire repercussions if this issue is not looked after immediately. Harmful results of not curbing food waste Food wastage has severe effects on the environment. If dumped in the landfill, it releases a greenhouse gas; methane. When the food degrades further it produces gases that are 25 times more harmful than carbon dioxide being trapped in the atmosphere. It results in global warming and nobody here is a kid to not understand how harmful it can be for climate change and ultimately for the planet Earth. Our resources require to be saved and food is an important resource for the survival of living beings. What are the best ways for food waste management? We are not in a very good state when it comes to food management even after a strict warning from the UN. According to last year’s , the food waste will rise by 70 percent on current values by 2050. World Bank report Image source The report said that this fact holds to be true only when there are no urgent steps taken immediately. In the past few years, various companies have started deploying Artificial Intelligence in the food industry to manage wastes. Businesses in the food industry and artificial intelligence development companies are working in this area to curb food wastage. The innovative ways with the help of this technology have provided remarkable outcomes. Role of Artificial Intelligence in Food Waste Management Artificial intelligence is all about developing computer-based systems that work with the same intelligence as humans. According to the Research and markets (the world’s largest market research store), the between 2019–2025 is forecasted to attain over 65.3 percent of CAGR. growth of AI in food and beverages industry Do you know how businesses and technologists are using Artificial Intelligence in food waste management? The trending technology of AI and its subsets like deep learning and machine learning are proficiently utilized in curbing food waste. For instance, recently, an artificial intelligence bin is launched by a UK based startup . This AI-bin uses a camera and smart scales to find the types of food that are being discarded. It is capable of reducing the food wastage by 50 percent and many businesses have availed this benefit. We will talk about this AI-Bin in detail later in this blog. — Winnow How AI helps in food waste management? Artificial intelligence technology-based software applications are capable of performing tasks which were only confined to the human mind. Its subset, machine learning is also playing an important role in reducing food wastage. ML works on vast data that helps in detecting types of food and their demands to manage them efficiently. These technologies are serving in unimaginable ways with various innovative tools. Let’s discover the various ways in which AI is used in the food industry, their benefits and the companies incorporating them. Following are the top uses of artificial intelligence in food waste management: Forecast food demandDetect the quality of the food sample Detect the food usually wasted 1. Artificial Intelligence in food waste management: Forecast food demand A bad demand forecasting can lead to heavy wastage in food. This is happening in supermarkets every day. You must have noticed how many food items get wasted in retail stores. To overcome this, the best in India are using machine learning in the food industry. ML works on algorithms based on large data. The data of previously wasted and sold food can help in forecasting demand. mobile app development companies This will help the supermarkets to stock the exact required amount of food. It will avoid more or less availability of food. Last year the came into a partnership with a hospital to avoid food wastage. Japanese company Hitachi The food not consumed by patients not only increases wastage but also poses harmful effects on their health. For this, they have mounted the camera on the trolleys which are used to collect the trays. Image source The camera clicks the pictures of leftovers. These photographs are later examined with the applications of deep learning (another subset of AI). This will help in identifying the patterns in leftovers which were not possible with the human mind alone. 2. Artificial Intelligence in food waste management: Detect food quality Have you ever returned a low-quality food? We all have done this many times! The same ingredients could have been used to produce an optimum quality for consumption. But unfortunately, a lot of food samples are not matching the quality standards which leads to food wastage. There is a company called which is based in the USA is using AI as a solution to this problem. They have their own food inspection system which is deploying the algorithms of deep learning. Agshift The deep learning models developed by hired software developers are capable of analyzing the defects in the sample quality. Sample images used here are a base to find out the overall quality of the food sample. 3. Artificial Intelligence in food waste management: Detect the food usually wasted The data of food that is thrown away most of the times can be an appropriate foundation to make new policies. It will help in reducing the supply of such food items. This collection is not possible with the help of human resources which brought the need for Artificial Intelligence in food safety. “A third of all food is wasted. It’s an economic, environmental and moral imperative that we reduce waste and know how it’s being wasted. We believe we have developed the answer to solve this for the hospitality industry.” said . Marc Zornes, the CEO of Winnow Here is a video of a TED talk by the CEO of winnow solutions. Have a look for a better understanding: https: //www.youtube.com/embed/BeDN5Jgg-G8 We discussed in brief about the AI-bin Winnow, let’s explore it some more. It is the first bin based on artificial intelligence technology to support the hospitality industry in its target of reducing food waste. It has reduced food waste with machine learning algorithms. The smart scales, AI-guided smart meters, and camera are used with AI technology. The system has been programmed to identify the thrown food. Whatever goes into the bin is not recorded anywhere. With the help of winnow vision, the companies can detect the food items that are discarded the most. Moreover, the AI-based bin is capable of calculating the environment and financial cost of the thrown items automatically. The solution it provides are: Improve food preparations methodsChange the menusBetter buying decisions There are many companies that have applied the technology of this marvelous system of contemporary times. Here are the popular use cases and outcomes: The first global chain of hotels that started using winnow systems is IHG resorts. Within six months, 50 percent of waste was reduced by IHG resorts through all the installations.23 stores of IKEA (food service organization) in the UK and Ireland has tested winnow and has successfully saved 1.6 million meals. Some more examples of companies using AI in food waste management: Utilizing Artificial intelligence to transform its production process of Whey protein. The manufacturers, based in Dutch, make sure to deploy the best technology to reduce food waste. With the help of new algorithms, they are also planning to improve their protein quality. DVNutrition : Serving more than 40,000 meals a day, Puget sound campus of Microsoft is using AI technology to log the items headed for the compost pile. This helps in the constant management of the orders. Microsoft: Final words: Artificial intelligence has made it possible for companies to reduce their food waste drastically. Its applications have allowed the food service organizations to become smart by forecasting the demand, detecting the quality and analyzing the thrown food. Undoubtedly, artificial intelligence is revolutionizing the food industry of modern times. If you are also willing to contribute to the environment like Microsoft and IKEA, then hire to get an AI-based software developed for your business to curb food wastage. our software development company Take a step further in making your business operations smart and healthy for society. You are most welcome to share your innovative ideas with us in the comment section. Let’s join hands to reduce food wastes. Always remember, there is enough for everyone’s need but not for everyone’s greed!

Why We Are Automating Food Waste Management With AI?

The world is drowning in an ever-increasing heap of garbage. The rate at which waste is accumulating is turning our towns and cities into dump sites. Nations all over the world are faced with the herculean task of finding convenient and appropriate means of disposing of wastes.  Waste disposal management is one of the prime challenges faced by most countries around the world. Technological developments are opening gates for exploration and production activities, which eventually results in waste formation. Tracking Waste Using Blockchain Technology The technology that powers cryptocurrencies like bitcoin are slowly making way into waste management. It could even play a very vital role in keeping recyclables out of landfills.  The blockchain is a super-secure digital ledger, where transactions records are kept chronologically and publicly. According to experts, the technology would also make it easier to track shipments of waste and recycling. It could even help with regulatory compliance.  Jody Cleworth, the CEO of said, “The shipping of recovered materials is necessarily heavily regulated, and we’ve had a real impact in simplifying the process while remaining compliant.” Marine Transport International is a New Jersey-based freight forwarder. The company just completed a successful blockchain pilot. This pilot created a common tracking system linking up recycling suppliers, port operators, and ocean carriers. Marine Transport International Phil Rudoni, Chief Tech Officer at said that “A big issue the waste industry faces is the lack of accountability for the end destination of recycled material. Rubicon is an Atlanta-based tech startup that provides cloud-based recycling and waste services.  Waste has always been difficult to track but with blockchain, it is believed that it would be much easier. It wouldn’t be so difficult to design a system where pieces of plastic (or trash bags) could be tagged with scannable QR-Codes and then tracked at each step of the recycling supply chain. Rubicon Blockchain and Waste Management Several waste initiatives have seen the potential of incorporating blockchain technology. One if such initiative is the , a global recycling venture founded in Canada. Its main aim is to reduce plastic waste in developing countries like Haiti, Peru, Colombia, and the Philippines. It has plans to extend it’s territory this year.  The initiative pays people who bring plastic rubbish to bank recycling centers. One payment option is the use of blockchain-secured digital tokens. The tokens can be used to purchase things like food or phone-charging units in any store using the Plastic Bank app.  The plastic is then bought by companies and recycled into new consumer products. This system is more attractive because blockchain’s transparency means they can see and monitor where their investment goes. Plastic Bank Another use of blockchain in managing waste is emerging in French rail. A system made by subsidiary Arep uses blockchain to collect detailed information on station bins. This data will make it possible for station managers to see what providers have done and when. This allows them to improve waste management and optimize sorting. SNCF When it comes to waste management, it is time we look beyond the traditional methods of waste disposal. Blockchains are already beginning to provide benefits in this area and we believe they still have much more potentials that are yet untapped. To know more about Swachhcoin, visit: https://swachhcoin.com/ Link to Swachhcoin Reserve Sale: https://swachhcoin.com/sale/ Join our Community here: Official Telegram Discussion Group Twitter Channel Facebook FanPage Swachhcoin Subreddit

Smart Waste Management And BlockChain Technology

Introduction To adequately understand the application of Ethereum DAO in waste management, an examination of the basic concepts becomes necessary. One such concept is Ethereum. Ethereum refers to a decentralized platform on the blockchain technology that allows developers to build and deploy decentralized applications (dApps). Ethereum runs smart contracts and these smart contracts are applications which run exactly as they are programmed. As such, they eliminate the possibility of third-party interference, censorship, downtime, and fraud. According to , the , the Ethereum dream began from the imagination of a platform that transcends just the financial use cases that are allowed by Bitcoin. Buterin has expressed hope that Ethereum will become the solution for all the use cases of blockchain that do not have a specialized system to aid their operations. Vitalik Buterin co-founder of Ethereum Since its inception, it has gone ahead to experience rapid growth and has also enjoyed rapid adoption by a lot of developers. Several companies are also contributing directly or indirectly to the adoption of Ethereum. For instance, and are reportedly some of the organizations that have committed to support Ethereum development through the establishment of the Enterprise Ethereum Alliance. This alliance has the sole purpose of ensuring that the potential of Ethereum is realized across all industries. JP Morgan Microsoft has contributed to the development of advanced solutions across several industries and the waste management industry is not left out. Waste management refers to all actions and activities involved in dealing with waste right from the production of the waste to its final disposal. That would include, waste collection, transportation, treatment, disposal, and even recycling. Ethereum Among other things, waste is managed so as to reduce the adverse effects of improper waste management on health and the environment. However, there is an inadequacy in the current waste management systems. Problems such as lack of proper collection mechanisms, disposal methods, and even lack of in-depth knowledge by the individuals about the environment have all contributed to the inadequacy of the current system. There is, therefore, a need to adopt a system that can foster proper waste management globally. It is in this sense that the application of Ethereum DAO in the waste management system becomes highly relevant. Ethereum DAO also was known as a is simply an organization operated on smart contracts. Ethereum DAO is one of Ethereum applications and is designed to eliminate the need for middlemen. It can be programmed to digitally achieve all that traditional companies can, even in a more efficient manner. Smart contracts on which the Ethereum DAO operates are simply programs that execute functions just the exact way the creators developed them. Smart contracts can be used for different purposes, including but not limited to transferring of funds and can also be used in the waste management industry. For instance, the smart contracts can be set up to automatically transfer rewards to individuals that have properly managed their waste. DAO Decentralized Autonomous Organization How Swachhcoin Projects Solves Waste Management Issues Using Ethereum Blockchain Swachhcoin was developed on the Ethereum Blockchain and that endows it with the general innate features of the Blockchain technology. Swachhcoin was specifically built to solve waste management problems using the Ethereum Blockchain and it seeks to do that through different methods. For one, Swachhcoin uses an extensive infrastructure that comprises of different smart contracts where all actions in the waste management process will be initiated and recorded in a transparent, traceable and irreversible manner. This gives room for adequate transparency in the waste management process. The fundamental properties and nature of the blockchain technology are such that altering codes, influencing or tampering with them are impossible. Also, several DAO based actions are being carried out using the Ethereum blockchain so as to streamline the traditional functioning of the current waste management industry that is run on an obsolete infrastructure. This, in the long-run, will aid a faster and more effective waste management process while also eliminating all the issues characterizing the current waste management system. , asides the typical features of a blockchain, also has advanced features. For instance, the SwBIN is programmed in such a way that it allows the feature of decentralized advertisement. With this feature, a Swachh token holder can use his tokens to pay for the advertisement of specific content on SwBIN at any location of his choice. The Swachh DAO Swachhcoin also has the Rural Welfare program, the operation of which will be aided by the Swachh DAO. The Rural Welfare Program is a program which is neither philanthropic nor charitable. It is majorly an innovative program to set up waste storage facilities in some villages (and subsequent expansion to other villages) to encourage the villagers to store their waste in the waste storage facility. The waste will be collected and the village will receive the monetary reward in the form of Rural Welfare Funds based on the calculations done by the SwBIN reward calculator. It is expected that the reward will be used for the development of such villages. This process is aided by the Swachh DAO. Another feature of the Swachh DAO is the Autonomous Philanthropy, where Swachhcoin funds for donation purposes are transferred to specific organizations in a manner which is fair and transparent. The infrastructure that exists on the Swachhcoin eliminates the possibility of funds not being distributed to the organization or person for which it was originally intended. All these are made possible as a result of the implementation of the Swachh DAO infrastructure. In conclusion, the Swachhcoin through the robust application of Ethereum DAO has a lot of potential benefits both in the short term and in the long run. Such benefits include the creation of a global decentralized waste management ecosystem, the provision of a network that offers extensive infrastructure necessary for proper waste management and the positive alteration of people’s perception about waste to see it as a profitable untapped resource. In addition, it will also benefit the environment as it will lead to an improvement in the environment and ultimately contribute to the profitability of the waste management industry. NOTE: Beware of Scammers. Always verify your channel of communication with Swachhcoin. Scammers may try to impersonate team officials. Always trust the information and links present on . Scammers may also try to scam using deceiving using similar domain names. Always be vigilant. In case you notice something suspicious, Kindly bring the same to our notice on info@swachhcoin.com www.swachhcoin.com Join Our TokenSale and avail the #HODL Offer: https://swachhcoin.com/ico Join our Community here: Official Telegram Discussion Group Twitter Channel Facebook FanPage Swachhcoin Subreddit

The Robust Application of Ethereum DAO in Waste Management

Introduction By way of definition, a smart city is a city that utilizes technology and data for the creation of more efficient results, improvement of sustainability in all sectors, fostering a wide-ranging economic development and contribution to the enhancement of the living conditions of those residing and working in that particular city. The utilization of technology to achieve these purposes covers a wide range of sectors, ranging from the health sector to the education sector and even the waste management in the cities. Technology has immensely contributed to the reduction in cost and complexity of current waste management systems thereby improving their efficiency, safety, and productivity while also reducing the impact they have on the environment. Thus, this article aims to analyze the different ways by which technology can be incorporated, and is currently being incorporated, into the waste management system of smart cities to achieve better results. www.swachhcoin.com Technology For Waste Management The complexity surrounding waste management has become more pronounced than before. More tons of trash is produced by citizens around the world and this has led to a major challenge which is how to successfully dispose of waste without opening individuals to major health issues. Specifically, the waste collection which is a component of waste management is an essential service for any city and the current system that exists can be greatly improved by using smart technology to foster increased efficiency and cause an improvement in the quality of waste collection processes. In a bid to handle these challenges and tackle the adverse effects of landfill waste, among other dangerous waste products on the environment, waste management industries globally are rethinking the different strategies. Some of these strategies include using technology for operational analytics and route optimization as these can considerably lead to achieving sustainability goals in this wise and reducing the operational costs. In addition, they are also changing how they handle waste and its disposal so as to achieve increased efficiency and enhancement of environmental protection. Thus, some of the major areas where technological tools are being utilized for those purposes include 1. Automated Waste Collection With the introduction of automated sensors that function to trigger automatic alerts each time a container is filled up and needs to be serviced, technology has impacted the workings of waste management. In fact, some other tools such as advanced disk screens and optical sorters have been introduced to make the sorting process easier and faster. In addition, the trucks used in the waste collection now run on natural gas and not diesel for operations which are quieter and more cost-effective. Further, logistics software, mobile apps and in-vehicle monitors have made the waste management process simpler while also ensuring that the driver is safe. 2. Improved Rates of Recycling Currently, waste management companies and also recycling companies are working on improving their techniques and tools. There is a recent development available in single-stream recycling which allows people to dump all their trash in one bin. That has helped to reduce people’s burden of sorting and has also impacted the recycling rate. In addition, it has contributed to the reduction of truck count as well as the emissions. 3. Route Optimization Route optimization is important in the protection of the environment and the reduction of hazardous emissions and accounts for why companies are going ahead to invest in advanced systems as well as software dedicated to optimization. These companies are now using automated trucks which have already installed robotic arms that function to save effort and time along normal routes. It has made pickups from one point to another quite eco-friendly. The technology is also quite viable financially and also improved energy efficiency. 4. Modernization of Landfill Through a harness of the power of technology, the waste management industry has succeeded in modernizing garbage dumps. The systematically engineered landfills that adequately comply with relevant regulations ensure a complete protection of health and preservation of the environment. Also, the use of solar panel systems which are integrated together with geomembrane are providing essential backings for production of energy deemed sustainable and also preventing carbon from finding its way back into the environment. 5. Faster Turnaround Periods Some waste management companies have also begun investing in technology that provides better customer experience to their customers. These companies are investing in the creation of mobile apps that are user-friendly so they can promote quicker delivery of services and even bill payments via push notifications. 6. Conversion of Waste to Energy This is one of the core ways technology is being used to transform the operations of waste management companies in smart countries. Rather than leaving particular types of waste in the landfill, they can be converted to energy. There are new innovative machinery called digesters for this purpose. Digesters can convert the waste and the produced biogas into energy that can be effectively used onsite. It can be used on different categories of waste such as agricultural leftovers, food, animal waste, among others. Another innovative technology used for conversion of waste is called thermal conversion. This helps to convert waste into specific products. By using cues gotten from natural geothermal processes that function using heat and pressure to convert useless materials to products that have relevant usages. It can be used to turn waste materials into fertilizers, chemicals, oils among other important converted products. Better still, certain varieties if landfill gas can also be converted to energy. The relevant gas in this wise will be those flared or released that can be converted into energy by using certain new innovative technology. Examples of such technology are microturbine technology, bioreactors, and fuel cells. Swachh Bins — SwBins SwBin is an innovative device of the Swachhcoin Platform that can autonomously sustain the Ecosystem while also retaining its core fundamental governing and working principles. This tool has some of the most revolutionary features not present in a lot of traditional waste management systems. Some of these features include: 1. Dapp Support 2. Enabled IoT support 3. Automatic opening and closing lid 4. LED Advertisement Panels 5. Waste Sorting at source 6. Waste compression 7. Unique User Identification All these innovative features of the SwBin help to foster better waste management activities and is therefore ideal for all smart cities across the world. NOTE: Beware of Scammers. Always verify your channel of communication with Swachhcoin. Scammers may try to impersonate team officials. Always trust the information and links present on . Scammers may also try to scam using deceiving using similar domain names. Always be vigilant. In case you notice something suspicious, Kindly bring the same to our notice on info@swachhcoin.com www.swachhcoin.com Join our Community here: Official Telegram Discussion Group Twitter Channel Facebook FanPage Swachhcoin Subreddit

Smart Cities Incorporation of Technology For Waste Management

INTRODUCTION With each passing day, more cities globally have begun getting on board with the incorporation of smart waste management solutions into their systems. This is in a bid to create increased efficiency with regards to the costs and resources associated with ensuring that the cities are smart. Although only a few cities have begun testing the equipment of private households bins with advanced sensor technology, most of the cities have begun with the implementation of smart waste management solutions in the public sphere. At the moment, the state of technology used in smart waste management revolves around the use of sensors that measure how full a trash bin is. The measured data is in turn transferred to the Cloud where is it further processed and analyzed. Ordinarily, the explication of the data can aid the adequate planning of trash collection and track routes can be effectively optimized. IMPLEMENTATION OF SOLUTIONS The waste management solutions are geared towards making the environment healthier while also giving room for the optimization of the available utilities. In addition, smart waste management solutions also contribute to the total efficiency of waste recycling and also provide an opportunity for route optimization for the reduction in traffic and fuel consumption. A popular smart waste management solution includes having a sensor attached to trash bins to measure the fill level as well as a communication system that transmits the data to the Cloud. As the data processing is done in the cloud, the route of the collection trucks is in turn optimized. Thus, most companies dedicated to smart waste management have solutions that are based on what is referred to as ultrasonic distance measurement. Other companies will rather use an alternative solution that includes the use of camera and image processing as a passive sensor. The latter option is, however, more commonly used. The ultrasonic sensors also implement different types of sensors to obtain additional data. For instance, the sensors could be used for monitoring other parameters about the container’s status, such as the position through utilizing GPS or the use of motion sensors in a bid to register the container collections and also moved to detect likely vandalism. PROBLEMS OF CURRENT SMART WASTE MANAGEMENT SYSTEM The process of waste management currently in existence begins with the waste created by the people in the cities being disposed of in trash bins that are made available near the creation point. Subsequently, the trash is collected by private companies trucks or municipality at definite terms and sent to the temporary collection centers. From the collection centers, the trash is then sent to where it will be recycled. However, the implementation of this process only comes as a partial solution to the waste problems. In fact, it gives rise to some other problems. For instance, at the time of collection, some of the trash bins may be overfilled while some others may be underfilled. The trash bins that are overfilled lead to unhygienic conditions. Truck routes that are unoptimized also lead to excessive fuel usage. In addition, overfilled trash bins cause environmental pollution and the fact that all the trash collected is combined causes complication in sorting at the recycling plant. In essence, there are two major disadvantages of the solutions currently available. The first is that there is a non-uniform distribution of waste in the container and a simple distance measurement more often than not results in a false fill level measurement. The normal ultrasonic sensor commonly used have been proposed to be upgraded by several procedures but the results are generally still not the best. If for instance multiple sensors are used, that will help in getting a more precise determination of the fill level. However, it is quite costly and usually not the ideal solution for commercial purposes. Another disadvantage of the solution that exists is that it is incomplete and partial. A waste management cycle begins with the production of waste which is then disposed of at the local trash bins. Subsequently, a garbage collecting company collects the waste and brings it to the garbage depot where it is sorted and transferred for recycling, storage or destruction. However, a complete waste management solution should have something about trash bin fill level measurement, trucks’ route optimization and also involved in the recycling process by making the sorting process easier as the sorting process at the moment is manual and can be very slow. For the recycling process, the current smart waste management system that exists has no solution for the recycling process. However, even though the solution is an improvement on the sensorless solution as it is affected by major setbacks, the poor performance of sensors and also lack of contribution to the sorting done at the recycling plant are still some issues. However, a system that helps in the automated management of the lifecycle of products could lead to a simpler and cheaper recycling of used products. This occurs when the technical information about a particular product has been incorporated during production. Such information including the materials from which the product is gotten, the appropriate recycling ways, among other things. This would help organizations in charge of waste collection to automatically search for containers’ contents and to also organize the collection service according to the information gotten. In addition, that would make the waste management activities more cost-effective. Swachhcoin has a SwBin which is a customized waste collection bin that has several features such as automatic opening and closing lid, integrated waste separation and linked user identity database, among others. All these features make the SwBin a suitable solution. In conclusion, even with these issues, everyone still has a lot to benefit from smart waste technology. Thus, by investing in a sensor technology, the operational and cost efficiency will be optimized in several areas. Better still, the cost of getting these technologies up and running is rapidly decreasing and this makes it a good time to take advantage of the smart waste management solutions. For more details, visit: www.swachhcoin.com Email: info@swachhcoin.com TokenSale Document: https://swachhcoin.com/TokenSale.pdf JOIN OUR ICO Round 2 STARTING 2nd September 2018. 18% DISCOUNT TO CLAIM Join our Community here: Official Telegram Discussion Group Twitter Channel Facebook FanPage Swachhcoin Subreddit

IMPLEMENTATION OF SMART WASTE MANAGEMENT SOLUTIONS

The fight against microplastics in our oceans is a crucial environmental challenge, and Artificial Intelligence (AI) is emerging as a powerful tool in this battle. Microplastics, tiny plastic fragments less than five millimeters in size, pose a significant threat to marine life and ecosystems. They originate from various sources, including larger plastic debris that degrades over time, and microbeads used in cosmetics and other products. Their small size makes them difficult to detect and remove, which is where AI steps in. AI technologies, particularly in the form of machine learning and data analytics, are being employed to identify, track, and ultimately remove microplastics from marine environments. For example, AI algorithms can analyze water samples and images from drones or satellites to detect microplastics concentrations. This data can then be used to map pollution hotspots and track the movement of these particles through ocean currents. Startups are at the forefront of integrating AI into ocean cleanup efforts. Companies like The Ocean Cleanup, a Netherlands-based organization, are using AI to enhance their systems that collect plastic from rivers and oceans. Their technology uses machine learning to optimize the efficiency of cleanup devices and predict the accumulation of plastics. Another innovative approach is the use of autonomous robots equipped with AI for cleaning up microplastics. These robots navigate water bodies, identify microplastics using onboard sensors, and collect them without human intervention. This not only increases the scale of cleanup operations but also reduces the risks and costs associated with manual collection. In addition to direct cleanup efforts, AI assists in preventive measures. By analyzing data on plastic usage and waste management practices, AI helps identify key areas where interventions reduce the entry of plastics into the ocean. This includes optimizing recycling processes and developing more effective waste management strategies. Startups further contribute to solving the microplastics problem by focusing on the source of these pollutants. Innovations in biodegradable materials significantly reduce the amount of plastic entering the oceans. AI accelerates research and development in this area by analyzing material properties and environmental impacts, helping to create sustainable alternatives to conventional plastics. Moreover, public awareness and behavioral change are critical in combating microplastic pollution. AI-powered apps and platforms play an important role in educating the public and promoting eco-friendly habits. For instance, apps that track an individual's plastic usage and provide tips for reducing their plastic footprint are considered to be an effective tool for change.Beyond the pollution itself, a key study featured recently highlights the alarming risks associated with pathogen-laden microplastics in aquatic environments, raising significant public health concerns. This research explores how microplastics serve as carriers for pathogens in various water bodies, examining factors that influence the adherence and survival of these pathogens on microplastics, and their potential transmission to humans. The study is crucial for informing public health policies and environmental strategies, emphasizing the need for increased monitoring of microplastic pollution. It calls for further research into how microplastics facilitate the spread of pathogens and the resulting health risks. The study underscores the critical importance of understanding the role microplastics play in pathogen distribution, highlighting its significant implications for both environmental and human health. The research brings attention to the often-overlooked health dangers posed by pathogens on microplastics in water, advocating for urgent actions to safeguard public health and environmental integrity. The study also stresses the need for multidisciplinary research to better understand the complex interactions between microplastic-associated pathogens and to develop effective mitigation strategies. The role of AI in fighting microplastics in our oceans is multifaceted, encompassing detection, cleanup, prevention, and public engagement. As technology advances, startups specializing in AI and environmental solutions are poised to make significant contributions to preserving marine ecosystems and protecting the health of our oceans. By combining innovative technologies with concerted efforts across sectors, the goal of a cleaner, plastic-free ocean becomes increasingly attainable.

AI is Helping Clean Our Oceans of Plastics

I want to direct your attention to a subject of great importance, from my point of view, but often ignored: the recycling of photovoltaic panels. Have you ever reflected on the fate of solar panels at the end of their life span? The subject is not often addressed, but it deserves to be explored in depth. Therefore, I invite you to find out what the challenges of recycling photovoltaic panels are and what solutions have been discovered so far. The Current Panorama of Photovoltaic Panels Information shows us that in 2023, the photovoltaic systems market is in full expansion and innovation. Among the most recent developments are advanced photovoltaic solutions, which include high-performance materials, thermo-photovoltaic technologies, and sustainable variants. These trends are supported by decreasing costs and local production. In the USA, for example, the solar industry added 6.1 gigawatts of capacity in the first quarter of 2023, registering an increase of 47% compared to the previous year. ( ) Globally, the market was valued at 157.75 billion dollars in 2022, with a forecast of annual growth of 7.8% until 2030. ( ) source source This seems to be a positive aspect, however, we must consider a major consequence, namely the ecological impact and recycling difficulties of photovoltaic panels. Due to the high costs of recycling and limited infrastructure, you can clearly understand that many panels end up in landfills, representing a major ecological problem. However, besides protecting the environment, reusing components from used solar panels can reduce the need for raw materials, while also providing employment opportunities. Consider that in 2022, the global installed solar capacity was 268 gigawatts, an increase from 183 gigawatts in 2021, with an estimate of 315 gigawatts in 2023. ( ) What does this indicate? Of course, a future huge quantity of used photovoltaic panels. In the United Kingdom, it is estimated that solar panel waste will reach 1 million tonnes by 2050, and in Australia, they represent the fastest-growing stream of electronic waste, with over 100,000 tonnes of waste by 2035. ( ) And, as I mentioned above, the costs of recycling are often higher than those of disposal, requiring financial incentives and an adequate regulatory framework. However, Europe holds a leading role, having regulations that impose the collection and recycling of photovoltaic panels. source source Challenges and Solutions in the Recycling of Photovoltaic Panels You can easily see that the lack of an efficient system for photovoltaic panels has a major impact on the environment. Even though these panels generate clean energy, the manufacturing process and their waste at the end of the life cycle include toxic materials, which can affect the environment. Okay, then what's to be done? The most feasible and effective solutions must be found. Recycling is essential to prevent the environmental problems associated with the disposal of these panels. recycling A concrete example of recycling photovoltaic panels, or rather reconditioning, that I can offer you, is the process applied to silicon-based panels. This includes disassembling the panels into components, melting broken wafers, manufacturing new silicon cells, and final assembly, resulting in an 85% recycling rate. However, the high cost of this recycling process makes the option of landfill disposal more attractive to many decision-makers. Another process is the physical recycling process, the mechanical and most used one. In the first stage, all the materials contained in a panel are separated. These components are then ground, tested to determine the amount of toxins, and then reused. A panel can consist of various materials including silicon, glass, aluminum, copper, and silver. As for chemical recycling, which represents one of the newest solutions discovered, this is usually done after thermal treatment. It includes separating the materials of the panel through chemical processes, but this process also involves the release of dangerous gases, which represents a major issue in the recycling of photovoltaic panels. A positive thing is the possibility of reusing these substances several times in these recycling processes. To give you examples, there are two main technologies for recycling silicon-based photovoltaic panels: delamination and material separation. These technologies include dissolution in thinner, dissolution in nitric acid, thermal treatment, and ultrasonic irradiation, each with its specific advantages and disadvantages. For thin-film panels, recycling technologies include delamination, material separation, and material purification, with processes such as hydrometallurgy and pyrometallurgy, each also having its own advantages and disadvantages. ( ) source The integration of (AI) in recycling systems, including in the recycling of photovoltaic panels, represents a promising and innovative direction in waste management. If you wonder how exactly, here's the answer. A relevant example is the development, in the USA, of an intelligent waste management system, which uses smart sensors, visual cameras, and hyperspectral cameras in combination with an automatic waste sorting machine. These technologies allow capturing images of objects as they move on a conveyor belt, and sensors help monitor and control the waste management process. artificial intelligence Moreover, this technology uses machine learning models to improve the recognition and classification of non-recyclable waste. The collected information and images are uploaded to a cloud database to train and test these models, which can analyze data to identify patterns, make decisions, and continuously improve. These models will analyze the images and descriptions of waste, as well as information about the physical, chemical, and biological properties of these, to determine contaminants, energy density, and organic content. In the future, researchers plan to assess the technical feasibility and ecological performance of their system on a pilot scale. They also intend to develop a web platform that will allow them to share data sets and other information with interested parties. ( ) source Opportunities and Perspectives in the Recycling of Photovoltaic Panels Considering the complexity and costs of recycling processes, it is essential to develop more efficient and sustainable methods. Do you agree? This could include financial incentives and an adequate legislative framework, as well as research into discovering new innovative technologies in the waste recycling sector. However, this segment represents a very good business opportunity. You should know that the global market for recycling photovoltaic panels presents enormous potential, estimated to grow from 0.36 billion dollars in 2023 to 1.72 billion dollars by 2028. ( ) This opens the way for new industries focused on recycling used photovoltaic panels, and this growth is supported by numerous companies worldwide (United States, Australia, Germany, United Kingdom, Switzerland, China, Canada, Spain, Hong Kong, India, Italy, Japan, Poland, Singapore, Slovakia, South Africa, Israel, Ireland, France, and Brazil), which deal with the recycling of photovoltaic panels. source Also, various governments around the world provide funding and support for the recycling of photovoltaic panels. I'll give you a few significant examples: United States: The U.S. Department of Energy, through the Office of Solar Energy Technologies (SETO), announced the funding opportunity "Materials, Operation, and Recycling of Photovoltaics (MORE PV)" for fiscal year 2023. This will provide up to 20 million dollars over three years for research and development projects. These projects aim to create innovative and practical approaches to increase the reuse and recycling of solar technologies, thus consolidating the circular economy for in the United States. ( ) photovoltaic systems source European Union: Through EIT RawMaterials, the European Union funds a project under the supervision of Veolia Germany, with a total of 4.8 million euros. This project aims to develop an efficient and unique technology for recycling photovoltaic modules that have reached the end of their useful life. ( ) source Japan: PV CYCLE aisbl and the Akita Prefectural Resource Technology Development Organization (Akita PRTDO) announced the creation of PV CYCLE Japan for the collective management of decommissioned photovoltaic panels. The initial activity of PV CYCLE JAPAN was to serve as a point of contact for a feasibility study on the collection of decommissioned photovoltaic panels for the Ministry of the Environment of Japan, the main goal being to promote the reuse and recycling of decommissioned photovoltaic panels. ( ) source China: The Chinese government, through the National Development and Reform Commission, has announced a plan to establish a recycling system for decommissioned photovoltaic panels. By 2025, China aims to build a mechanism for disposing of decommissioned equipment from photovoltaic power plants. Also, by 2030, the Chinese government intends to mature the complete recycling system for photovoltaic power plants, while also supporting third-party recycling companies to carry out recycling activities for decommissioned photovoltaic equipment. ( ) source These initiatives reflect a significant global commitment to promoting the recycling of photovoltaic panels and to supporting the development of a circular economy in the solar energy field. I conclude that recycling photovoltaic panels is not just an ecological necessity, but also an extraordinary business opportunity. With emerging technologies and an expanding market, this field offers fertile ground for innovation and sustainable development. We face challenges, but recycling photovoltaic panels can become a path to a greener and more prosperous future. How do you see this subject?

Recycling Photovoltaic Panels: Problem or Solution?

In the realm of artificial intelligence (AI), exciting changes are unfolding. Thanks to partnerships, innovations, and financial investments, the horizons of this field are expanding, unveiling new opportunities for business and technological advancement. Let’s delve into a few key events of the past few weeks. For instance, the collaboration between WasteVision AI and Keymakr in the waste management sector, and the valuation change of the startup Jasper showcase the new opportunities ahead of us. New partnerships, like the one between Tenstorrent and Samsung, might alter the current dominance of Nvidia in the AI chip market, while record financial investments in the startup Mistral indicate investors' readiness to back innovative projects in this realm. Here are some notable news from the AI startup scene for September and October 2023: The collaboration between WasteVision AI and Keymakr was announced on October 6, 2023. WasteVision AI, recognized for its technological advancements in waste management, partnered with Keymakr, a leading data annotation company, with the goal to revolutionize the sector. Although the specifics of the partnership remain undisclosed, the collaboration aims to bring innovative tech solutions for waste management and drive a tech-driven transformation in waste sorting and detection. [​ ] Collaboration between WasteVision AI and Keymakr: 1 ​​ On September 28, 2023, the Israeli MLOps startup, Qwak, unveiled its innovative Vector Store, marking a significant leap in the LLMOps domain. This novel feature is engineered to transform the manner in which data science teams manage vector storage, retrieval, and embedding operations. By introducing this Vector Store, Qwak aims to streamline these operations, thereby allowing data science teams to concentrate more on their core competencies while reducing the infrastructure management burden. The Qwak Vector Store is an end-to-end solution for vector database and embedding needs, simplifying the related operations and potentially propelling advancements in the LLMOps field. [​ ] Innovations from Qwak: 1 ​​ The Polish startup AI Clearing has been acknowledged for employing AI technology on one of the world's most significant construction sites. This venture assists businesses in monitoring the progress of work on large construction projects. They recently secured a $14 million Series A funding, indicating substantial financial backing and potential for further advancement in bringing AI to the construction sector. [​ ]​ Project of the Polish startup "Construction Site": 1 On October 2, 2023, a collaborative agreement was announced between Samsung and Tenstorrent, a Canada-based startup specializing in AI processors and RISC-V IP. Through this partnership, Tenstorrent engaged Samsung's contract chip manufacturing arm to produce its next-generation AI chiplets, aimed at challenging the prevailing market dominance of Nvidia in the AI chip sector. [​ ]​ Partnership between Tenstorrent and Samsung: 1 The collaboration is set to expedite the development and market introduction of innovative AI chiplets. Tenstorrent is motivated to push the boundaries of AI and RISC-V technologies, and by leveraging Samsung's established foundry capabilities, they aim to bring competitive products to the AI chip market. This partnership is seen as a strategic move to rival industry big players like Nvidia, which has a significant hold over the AI chip market​. The collaboration between Samsung and Tenstorrent signifies a concerted effort to advance AI chip technology and potentially reconfigure the competitive landscape of the AI chip market, which has long been dominated by Nvidia. On September 29, 2023, Jasper, a startup known for its generative AI applications for marketing teams, experienced a significant reduction in its internal valuation by 20%, dropping from $1.5 billion to $1.2 billion. This change was reported by various news outlets including AIbeat and The Information. [​ ] Valuation drop of Jasper: 1 ​​Concurrently, the startup also revised its revenue forecasts for the year 2023, cutting the projections by 30%​. These financial adjustments may reflect the challenges or changing circumstances the company might be facing in the market. These financial adjustments don't exist in a vacuum. They're reflective of either internal challenges, an evolving market landscape, or a combination of both, that Jasper might be grappling with. The downward adjustment in valuation and revenue forecasts could be symptomatic of underlying issues like slower than anticipated user adoption, increased competition, or even unforeseen operational hurdles. Furthermore, these financial recalibrations send ripples across the investor community, potentially affecting Jasper's future fundraising endeavors. Investors, both current and prospective, could revisit their investment thesis for Jasper, scrutinizing the startup’s growth trajectory, market share, and the competitive landscape it operates within. Moreover, the valuation drop could have a domino effect on the morale of the employees and the leadership team. It could lead to a reassessment of the company's strategic initiatives, a realignment of operational goals, and even a reshuffling within the leadership ranks to steer the startup back to its previous growth trajectory. In a broader sense, Jasper's valuation drop serves as a stark reminder of the volatility and uncertainties inherent in the tech startup ecosystem, particularly for companies operating at the frontier of AI and machine learning technologies. It's a narrative of caution, but also of resilience, as startups like Jasper navigate the tumultuous waters of innovation, competition, and market acceptance. Jasper’s narrative also underscores the importance of prudent financial management, realistic revenue forecasting, and the agility to adapt to market dynamics. It's a case study that other startups, investors, and stakeholders within the AI and tech startup ecosystem would keenly observe and learn from, as they formulate strategies to mitigate risks, optimize performance, and drive sustainable growth in a competitive and ever-evolving market landscape. These events and trends lead to an important conclusion: we are experiencing a technological boom in the AI field, and each new day brings new opportunities thanks to bold ideas, investments, and industry leaders. Take, for example, the partnership between Tenstorrent and Samsung. This collaboration suggests that the AI chip industry continues to grow, and new players are ready to challenge established giants like Nvidia. It's also vital to acknowledge the role of startups in advancing AI technologies. Financial backing for projects like Mistral AI and AI Clearing demonstrates the innovative potential of AI in tackling complex issues. This inspires young companies and innovators to continue their research and development in this dynamic field. However, not everything always goes smoothly, as exemplified by Jasper. Nevertheless, even in times of economic uncertainty and market dynamics shifts, the opportunities for growth and innovation in the AI field remain vast. It’s an exhilarating time for everyone involved in AI and machine learning, and new horizons await. I look forward to your opinions and discussions on these events and the development of the artificial intelligence industry in general. Your thoughts are important to us, so feel free to share them in the comments below.

Jasper Lowers Valuation and Other AI News During September and October

U.S. Supreme Court Justice Clarence Thomas and His Powerful Billionaire Friends

মার্কিন সুপ্রিম কোর্টের বিচারপতি ক্লারেন্স থমাস এবং তার শক্তিশালী বিলিয়নেয়ার বন্ধুরা

Clarence Thomas, Richter am Obersten Gerichtshof der USA, und seine mächtigen milliardenschweren Freunde

El juez de la Corte Suprema de Estados Unidos, Clarence Thomas, y sus poderosos amigos multimillonarios

Clarence Thomas, juge de la Cour suprême des États-Unis, et ses puissants amis milliardaires

अमेरिकी सुप्रीम कोर्ट के न्यायाधीश क्लेरेंस थॉमस और उनके शक्तिशाली अरबपति मित्र

米国最高裁判所判事クラレンス・トーマスと彼の強力な億万長者の友人たち

미국 대법원 판사 클라렌스 토마스(Clarence Thomas)와 그의 막강한 억만장자 친구들

O juiz da Suprema Corte dos EUA, Clarence Thomas, e seus poderosos amigos bilionários

Судья Верховного суда США Кларенс Томас и его влиятельные друзья-миллиардеры

ABD Yüksek Mahkemesi Yargıcı Clarence Thomas ve Güçlü Milyarder Arkadaşları

Thẩm phán Tòa án Tối cao Hoa Kỳ Clarence Thomas và những người bạn tỷ phú đầy quyền lực của ông

美国最高法院法官克拉伦斯·托马斯和他有权势的亿万富翁朋友

In a world where technology races forward, machine vision software stands out as a transformative force, heralding a new era in automation. As global industries, from EMEA to Asia's tech centers, integrate this technology, we delve into its mechanics and potential. For engineers and tech enthusiasts, this isn't just a fleeting trend, it's a transformative shift, signaling a future where machines not only operate but also comprehend their surroundings The Mechanics behind Machine Vision Software At its core, software is designed to replicate human vision in machines, enabling them to recognize, analyze, and interpret visual information. This technology is not just about capturing images; it's about understanding them. By leveraging algorithms and neural networks, such as Convolutional Neural Nets (CNNs) and Recurrent Neural Networks (RNNs), companies like have enabled machine vision systems to discern patterns, detect anomalies, and even predict trends. machine vision Euresys.com The Success of Industrial Cameras and Machine Vision For engineers active in the machine/computer vision industry, the role of industrial cameras is paramount. These cameras, whether they're line scan or area scan types, serve as the eyes of the system. They capture high-resolution images, which the software then processes. The choice of camera, lens, and even lighting can significantly impact the accuracy of the vision system. The automotive industry has been a front-runner in adopting machine vision for quality assurance. For instance, , South Carolina, utilizes machine vision systems to inspect the correct installation of adhesive beads on doors, windows, and other parts. BMW's manufacturing facility in Spartanburg This ensures a watertight seal and adherence to stringent quality standards. By integrating machine vision, BMW can detect and rectify any discrepancies in real time, ensuring that only vehicles meeting their high-quality benchmarks roll off the production line. The Future of Automation Through Machine Vision The potential applications of machine vision are vast. From ensuring the correct assembly of products on a manufacturing line to decoding intricate patterns like barcodes and even monitoring public spaces for security, the possibilities are endless. In the realm of security, companies like have pioneered the use of computer vision to provide actionable insights. By analyzing video streams in real-time, such systems can detect potential threats, ensuring safety in public spaces. DeepX Moreover, with the rise of smart cities, machine vision will play a pivotal role in traffic management, waste management, and even energy consumption monitoring. Imagine a city where traffic lights adjust in real-time based on traffic flow, detected and analyzed by machine vision systems, ensuring smooth traffic and reduced congestion. Challenges and the Road Ahead Emulating the intricacies of human sight demands not just colossal datasets, but also formidable computational might. And then there's the elephant in the room: ethics. Especially when these systems watch over public spaces, the balance between innovation and responsibility becomes a tightrope walk. Ensuring the ethical use of this technology is a concern that developers and policymakers must address. While many tech giants are vying for the pole position in this race, the debate rages on: Are we sacrificing ethical considerations? Some might argue that the rush to innovate overshadows the need for responsible deployment. The balance between advancement and ethical responsibility remains a contentious issue, underscoring the importance of informed discourse. One thing is certain, the unfolding saga of machine vision promises to be as riveting as it is transformative. As we stand at the crossroads of innovation and responsibility, machine vision emerges as both a beacon and a challenge. For engineers and professionals in the field, staying abreast of these developments is not just beneficial; it's essential. But It's not just about smarter industries or more efficient cities; it's about sculpting the very fabric of our future. With every pixel analyzed and every pattern discerned, we're not just seeing the world differently; we're reshaping its contours. Ultimately, as industries and cities become smarter, machine vision will play a central role. Nonetheless, the forthcoming chapter is awaited, and it is anticipated to be nothing less than revolutionary.

Machine Vision Software: Beyond the Lens

মেশিন ভিশন সফটওয়্যার: লেন্সের বাইরে

Bildverarbeitungssoftware: Jenseits der Linse

Software de visión artificial: más allá de la lente

Logiciel de vision industrielle : au-delà de l'objectif

मशीन विज़न सॉफ़्टवेयर: लेंस से परे

マシンビジョン ソフトウェア: レンズの向こう側

머신 비전 소프트웨어: 렌즈 그 이상

Software de visão mecânica: além das lentes

Программное обеспечение машинного зрения: за пределами объектива

Yapay Görme Yazılımı: Merceğin Ötesinde

Phần mềm thị giác máy: Ngoài ống kính

机器视觉软件：超越镜头

In today's rapidly evolving business landscape, regulatory compliance has become a paramount concern for both innovative tech startups and established tech companies. Ensuring that a company complies with an ever-expanding web of laws, regulations, and standards is no small feat. This challenge has given rise to a new profession: the Compliance Product Manager. Throughout my career, and particularly during my time at a San Francisco startup in 2016 designing a legal product to streamline immigration filings at scale and mentoring other startup founders in recent years, my passion for both product and law led me to a unique path. Instead of choosing between these two industries, I embraced both— so in this article, I will devolve into the role of a Compliance Product Manager, their responsibilities, the advantages and disadvantages of this profession, provide an example of a successful case, and offer advice to those aspiring to enter this emerging field. What is a Compliance Product Manager? A Compliance Product Manager is a professional who specializes in developing and managing compliance-related products and processes within an organization. They act as a bridge between compliance requirements and the development of products, services, and systems. This role is crucial in ensuring that a company operates within the bounds of applicable laws and regulations as well as future-proofs itself against future regulatory waves while still achieving its business objectives. The Multifaceted Responsibilities of a Compliance Product Manager The responsibilities of a Compliance Product Manager are multifaceted and evolving. They include: Regulatory Research Staying up-to-date with the latest regulations, laws, industry standards relevant to the organization, and business risks. Product Integration Collaborating with product development teams to ensure that compliance considerations are incorporated into the design and development process. Usually it includes the development and implementation of compliance programs on all business/product/marketing aspects — from the legal analysis of business models to the design of ToU (Time of Use) and payments pages. Risk Assessment Identifying and assessing compliance risks associated with products and services, and developing strategies to mitigate them. Policy Development Creating and updating compliance policies, procedures, and guidelines like consumer protection, IP and data privacy laws and regulations. Training and Education Educating employees and stakeholders about compliance requirements and best practices. Audit and Monitoring Conducting internal audits and monitoring activities to ensure ongoing compliance. Documentation and Reporting Maintaining comprehensive records and generating reports to demonstrate compliance efforts. Advantages and Disadvantages of the Compliance Product Manager Profession Advantages: High Demand The demand for Compliance Product Managers is on the rise as regulations become more complex, divergent across multiple jurisdictions, and in many cases, stringent. Career Growth This profession offers significant opportunities for career growth, including senior management roles requiring close collaboration with key executives. Cross-functional Compliance Product Managers work closely with various departments, providing exposure to different aspects of a business. Flexibility It’s never boring to work as a Compliance Product Manager — many things change constantly, you deal with legal systems of the whole world (which also change constantly), “translate” legal requirements into product solutions for engineers. So, there’s always space to learn something new and grow professionally. Disadvantages: Complexity Keeping up with constantly changing regulations can be overwhelming without passion for the job and strong organizational and analytical skills. Stress The pressure to ensure compliance can be intense, especially in highly regulated industries like finance and healthcare and newer industries with evolving laws such as blockchain. No set path and job uncertainty There is no specific set path in the work of a Compliance Product Manager (various aspects like compliance with IP, privacy, FTC, CAN-SPAM affect the job trajectory). There are also lots of risks for a product, and in the worst case, the product will have to shut down if it’s not compliant. Therefore, you will have to anticipate and proactively manage risks and effectively communicate with all stakeholders. A Few Cases Where Compliance Product Managers are Crucial for Success Data Privacy Compliance in a Tech Company A Compliance Product Manager was employed by a multinational technology company that handled vast amounts of user data. With the introduction of the European Union’s General Data Protection Regulation (GDPR), compliance became a top priority. Scenario: The Compliance Product Manager led the development of a comprehensive data privacy compliance platform. This platform included user-friendly consent management, data access requests, and data deletion features. The company successfully implemented GDPR compliance, ensuring that user’s data rights were respected. This effort not only prevented costly fines, but also enhanced the company’s reputation for data protection. Success story: Financial Fraud Detection Tool for Banking Institution A Compliance Product Manager worked for a large financial institution, and their task was to combat financial fraud, which had been a significant issue. Scenario: The Compliance Product Manager collaborated with a cross-functional team to create a robust fraud detection tool. This tool utilized advanced analytics and machine learning algorithms to identify and alert suspicious transactions in real-time. As a result, the bank significantly reduced fraud-related losses and improved customer trust. Their success was further recognized when industry peers adopted a similar solution. Success story: Environmental Compliance Management for a Manufacturing Company A Compliance Product Manager was employed by a manufacturing company that aimed to improve its environmental compliance and sustainability efforts. Scenario: The Compliance Product Manager spearheaded the development of an environmental compliance management system. This system tracked emissions, waste management, and regulatory compliance at various manufacturing facilities. By implementing this system, the company not only achieved regulatory compliance but also reduced environmental impacts. This success story led to industry recognition and awards for sustainable practices, enhancing the company's reputation and attracting eco-conscious clients. Success story: Practical Advice for Aspiring Compliance Product Managers Stay Informed Continuously educate yourself about the latest regulations and industry trends. Attend workshops, seminars, and webinars to stay updated. Develop Soft Skills Effective communication, negotiation, and problem-solving skills are essential in this role, as you’ll be working with various stakeholders. Also don’t forget about creativity — although compliance is often viewed as a rigid and rule-bound field. Regulatory landscapes are constantly evolving, and creative thinking can lead to innovative solutions for compliance challenges. Creative Compliance Product Managers can find novel ways to meet regulatory requirements while also improving processes and user experiences. Network Build a strong professional network within your industry. Connect with other Compliance Product Managers to share experiences and insights. Adaptability Be prepared for change, as regulations evolve rapidly. Develop the ability to pivot and adjust your compliance strategies accordingly. Certifications Consider obtaining relevant certification in compliance management to enhance your credibility and qualifications. Determine 3 most important questions/keys that will overlap in all jurisdictions This process is pivotal in ensuring that compliance strategies are both efficient and consistent, regardless of the specific regulatory environment. By pinpointing these universal compliance elements, Compliance Product Managers streamline their efforts and build a solid foundation for products and services. In conclusion, the role of a Compliance Product Manager is a challenging and rewarding profession in today's business environment. It requires a unique blend of regulatory knowledge, technical expertise, and interpersonal skills. As businesses strive to navigate the complex web of compliance, the demand for competent Compliance Product Managers is expected to continue growing, making it an attractive career choice for those willing to embrace the challenges and opportunities it offers.

The Emerging Profession of a Compliance Product Manager

The concept of dataism, initially introduced by David Brooks in The New York Times in February 2013, gained momentum through works like Steve Lohr's book "Data-ism" (2015) and Yuval Noah Harari's "Homo Deus: A Brief History of Tomorrow" (2016). This emerging trend proposes that data holds unprecedented significance in shaping the future of society, culture, and even spirituality. David Brooks introduced the term " " in a 2013 article titled "The Philosophy of Data." Brooks discussed the increasing influence of data and its interpretation in various aspects of society. His focus was on prompting thoughtful discussions about the implications of an increasingly data-driven world and the potential limitations of relying solely on data to understand human behavior and society. dataism Lohr's work highlights how data is being used to analyze patterns, make predictions, and optimize processes in fields such as business, healthcare, education, and more. He discusses how data-driven technologies like artificial intelligence and machine learning are revolutionizing decision-making and offering new possibilities for understanding complex systems. In "Homo Deus," Harari examines the implications of dataism alongside other possible future scenarios, such as the rise of artificial intelligence, genetic engineering, and biotechnology. His goal is to stimulate thought and discussion about the potential consequences of these developments on human society, culture, and even spirituality. Harari's approach is more analytical and speculative rather than prescriptive, leaving room for readers to form their own opinions about the merits and challenges of dataism and its implications for the future. What is Dataism? Dataism can be seen as a belief system that regards data as the most fundamental and powerful force driving human progress. As we understand more and more from data, decisions will be based more on analyzing data rather than experience and intuition. This means more science and less experience. Bear in mind though, that experience and intuition are in essence huge amounts of data processed by our brains. However, since our brain’s computational power is outperformed by the computational power of machines, science will rely more on machine data rather than the human brain’s data. Dataism suggests that the entire universe can be interpreted as data flows and that all phenomena, including human behavior, can be reduced to data processes. In this worldview, human consciousness, emotions, and creativity are seen as complex algorithms arising from data interactions. Human progress is determined by a single question: How do we generate and process more data and how do we make the most out of it? The good of the data and the good of mankind are supposed to be one and the same. But what if “the good of the data” in some cases happens to be against privacy, security, awareness, and our right to data control and consent? A Snapshot of The Technological Landscape To understand how data affects technology and what drives the need for more and more data I will showcase three technological areas. IoT is a good example of where all that data is coming from. Big data and analytics then come into play to gather and analyze massive amounts of data in a rally toward technological progress. As a final application, AI with ML is also explored. Internet of Things (IoT) refers to a network of interconnected devices, objects, and systems that can communicate, exchange data, and perform actions without direct human intervention. These devices are embedded with sensors, actuators, and communication capabilities, allowing them to collect and transmit data over the Internet or other communication networks. IoT IoT devices are equipped with various types of sensors that can gather data from the physical environment or user interactions. These sensors can capture information such as temperature, humidity, pressure, light levels, motion, location, and more. The data collected by IoT devices is sent to central platforms or cloud-based systems for processing, analysis, and interpretation. Applications include, but are not limited to: Urban Planning IoT data is invaluable for optimising urban infrastructure and city planning. Sensors embedded in traffic lights, parking spaces, waste management systems, and public transportation can provide real-time data on traffic flow, occupancy rates, energy consumption, and environmental conditions. Urban planners can use this data to make informed decisions about traffic management, waste collection routes, and resource allocation. Healthcare Monitoring IoT devices play a significant role in remote healthcare monitoring. Wearable devices, such as fitness trackers and medical sensors, can continuously monitor vital signs, activity levels, and health conditions of patients. This data is transmitted to healthcare providers, enabling early detection of health issues and allowing for timely interventions. Energy Consumption Optimisation IoT-enabled smart meters and sensors can monitor energy consumption patterns in homes, buildings, and industrial facilities. This data can be analyzed to identify opportunities for energy efficiency improvements. Smart thermostats, lighting systems, and appliances can also adjust their operations based on real-time data, reducing energy waste. Agriculture and Environmental Monitoring IoT devices deployed in agricultural settings can monitor soil moisture, temperature, and nutrient levels. This information helps farmers optimize irrigation and fertilization processes, leading to better crop yields. Additionally, IoT sensors can be used for environmental monitoring, such as tracking air and water quality in real-time. Industrial Automation IoT is revolutionizing industrial processes through Industrial IoT (IIoT). Connected sensors and devices in manufacturing environments enable predictive maintenance by monitoring machinery and equipment for signs of wear and tear. This minimizes downtime and reduces maintenance costs. Retail and Supply Chain Management IoT devices in retail environments, such as RFID tags and beacons, enable inventory tracking and management. Retailers can monitor stock levels, track item movement, and optimize shelf placement to improve customer experience and streamline supply chains. Smart Homes IoT devices in smart homes allow residents to control and monitor various aspects of their living spaces remotely. Smart thermostats, door locks, lighting, and entertainment systems can be managed through smartphones, enhancing convenience and energy efficiency. Big Data and analytics The exponential growth of data generated by individuals, businesses, devices, or sensors in various industries has paved the way for big data analytics. It enables insights into consumer behavior, societal trends, and scientific discoveries that were previously unattainable. Big data refers to extremely large and complex datasets that are beyond the capabilities of traditional data processing tools to manage, store, and analyze effectively. These datasets are characterized by the three Vs: The sheer amount of data generated and collected, often ranging from terabytes to petabytes or more. Volume. The speed at which data is generated, collected, and processed in real-time or near-real-time. Velocity. The diverse range of data types and sources including structured, semi-structured, and unstructured data. Variety. Big data analytics refers to the process of extracting valuable insights and patterns from large and complex datasets. Its profound impact on a number of industries can be summarised as follows: Business and Marketing Insights Big data analytics enables businesses to analyze consumer behavior, preferences, and trends. This information can be used to make informed decisions about product development, marketing strategies, and customer engagement. Healthcare and Life Sciences In the healthcare industry, big data analytics can be used to identify disease patterns, predict outbreaks, personalize treatment plans, and discover potential drug candidates. Scientific Research Researchers in various fields can leverage big data analytics to process and analyze vast amounts of data generated by experiments, simulations, and observations. This has led to breakthroughs in fields like genomics, astronomy, and climate science. Smart Cities Urban areas generate a significant amount of data related to transportation, energy consumption, and citizen behavior. Big data analytics can help city planners optimize resource allocation and enhance quality of life. Finance Financial institutions use big data analytics for fraud detection, risk assessment, algorithmic trading, and customer relationship management. Social Sciences Social media and online platforms generate a wealth of data that researchers can analyze to understand societal trends, sentiment analysis, and public opinions. Supply Chain Optimisation Big data analytics can improve supply chain efficiency by analyzing data related to inventory levels, production schedules, and demand patterns. Environmental Monitoring Sensors and data collection devices provide data on environmental factors such as air quality, water levels, and biodiversity. Big data analytics can help monitor and manage ecosystems. Artificial Intelligence and Machine Learning AI and machine learning heavily rely on data for training and improvement. These technologies analyze massive datasets to recognize patterns and make predictions, often outperforming human capabilities. The potential for AI to understand and manipulate data could lead to new breakthroughs in various fields. Here are ways that data plays a crucial role: Training Data For AI systems to learn patterns, they need to be exposed to vast amounts of training data. This data is labeled, meaning it is annotated with the correct answers or outcomes. For instance, to teach a machine to recognize cats, it needs to see numerous images of cats along with their labels. Feature Extraction In machine learning, features are the relevant characteristics or attributes of the data that influence the model's predictions. The quality and relevance of features significantly impact the model's performance. AI and ML algorithms automatically extract features from the data to build meaningful representations. Model Building Using the training data, AI/ML algorithms build models that capture the underlying patterns in the data. These models can be decision trees, neural networks, support vector machines, and more. The better the data quality, the more accurate and robust the models become. Generalization Once trained, the models can generalize their learning to new, unseen data. This is a basis for making predictions or classifications on real-world data. The more diverse and representative the training data, the better the model's generalization. Wrapping Up At an individual level data can help people to gain self-insight, improve, and prosper. At a community or company level data is also of paramount importance. Analyzing strengths, weaknesses, opportunities, and trends is a data-driven endeavor. At a country level, policies for the country's internals as well as external geopolitical decisions are vastly driven by data. The importance of data cannot be overstated nowadays, and for the years to come. Dataism may be just a thought-provoking idea or it may evolve into an ideology. In any case, as data integrates deeper into society, ethical considerations surrounding data ownership, privacy, and consent become increasingly vital. Regulation across the globe is necessary and frameworks like GDPR and CCPA are a good starting point. Privacy policies, employee and citizen training,  data security measures, user access control and consent mechanisms, data breach response plans, transparency, and ethics initiatives, are things to consider. After all, data should be the tool to achieve goals, not the goal itself.

Dataism: Idea or Ideology?

উপাত্তবাদ: ধারণা বা আদর্শ?

Dataismus: Idee oder Ideologie?

데이터교: 사상인가 이데올로기인가?

Dataizm: Fikir mi, İdeoloji mi?

In the heart of Saudi Arabia’s vast desert landscape, where sand dunes meet the shores of the Red Sea, lies a futuristic vision that aims to redefine the way we live - . This mass-scale mega-city project isn’t just about constructing a it’s about breathing life into a vision that combines cutting-edge technology with sustainable living to create an oasis like no other. NEOM smart city ; This grand endeavor seeks to establish a modern utopia, a place where imagination meets technology and the limits of possibility are pushed beyond what we thought was possible. So, let’s explore the potential this city holds to be the next big thing and whether it can spark a wave of similar smart city projects worldwide. The Rise of Smart Cities I believe that it’s an undeniable fact that smart cities are revolutionizing urban development and bringing a paradigm shift in the way we live and interact with one another. Smart cities are the manifestation of our collective aspiration to harmonize urban living with technological innovation. These cities to optimize resource allocation, enhance efficiency, and improve the quality of life for their citizens. leverage data-driven solutions Let’s look at some preceding NEOM to grasp what may be in store for us. smart city projects Songdo, South Korea Often known as the , Songdo is an international business district near Incheon. Designed from the ground up, Songdo is characterized by its cutting-edge technology integration and sustainable infrastructure. world’s first smart city With data being at the heart of all Seoul city projects, Songdo is no exception. There are monitoring everything from energy consumption to traffic flow and waste management in real-time, ensuring efficiency and environmental consciousness. The city also features a , through which waste is whisked away with the help of underground tubes. , sensors embedded throughout the city central pneumatic waste collection system Songdo's presence is a reminder that the ideals set forth by NEOM and other forward-thinking projects are already being realized elsewhere to enrich the lives of residents while setting new standards for urban development. Singapore Being named the “ ,” Singapore is one of the frontrunners in the global race for going ‘smart.’ With the city-state having long been recognized for its strategic urban planning and efforts to promote sustainability, Singapore’s transition to a smart city began with the launch of its “ ” initiative. This initiative aimed to leverage data and technology to improve citizens' lives. smartest city in Asia Smart Nation They introduced a number of smart technologies in both the private and public sectors. Ranging from a contactless payment system, to aid the millions of passengers availing public transport every day to the creation of robotic patrol police, and a facilitating online consultations and an IoT device to monitor patients’ health. , SimplyGo digital health system Singapore sets a precedent for the relationship between technology and urban living, standing out as a shining example of how embracing innovation can lead to sustainable and harmonious urban environments. NEOM: A Glimpse into the Future NEOM isn't just a city; it’s aimed to be a manifesto for urban development. The vision is to create an oasis where humans and technology can coexist synergistically. Let’s explore what plans the Saudi government has for this colossal smart city project. About NEOM NEOM is a smart city project planned by the Kingdom of Saudi Arabia as part of its initiative. This plan aims to reduce Saudi Arabia’s dependence on oil, diversify its economy, and boost the country’s public and private sectors. Saudi Vision 2030 NEOM is to be built in the country’s northwestern Tabuk province, north of the Red Sea and in close proximity to the east of Egypt and the south of Jordan. The area for the project is 26,500km2 and currently encompasses four different planned regions so far: Sindalah Nestled along the Red Sea coast, is an island destination that embodies the spirit of leisure, luxury, and recreation. With pristine beaches, luxury resorts, and a thriving entertainment scene, this region is envisioned as a haven for relaxation and entertainment. It offers a plethora of underwater activities and will also be a yachting hub for some of the world’s most prominent yachting enthusiasts with its 86-berth marina and 75 off-shore buoys. Sindalah Trojena emerges as a dynamic ski resort with elevations ranging from 1,500 to 2,600 meters and a pristine expanse spanning nearly 60 square kilometers. Trojena offers an enchanting playground for winter sports enthusiasts. Blanketed in snow during sub-zero winters, this alpine haven promises exhilarating slopes, breathtaking panoramas, and an unforgettable skiing experience that embodies the spirit of adventure within NEOM's visionary landscape. Trojena Oxagon Previously known as Neom Industrial City, is an octagonal floating industrial complex. Situated around 25 kilometers north of Duba, Oxagon envelops a sprawling expanse of 200–250 square kilometers. This marvel is set to redefine modern manufacturing and industrial research, positioning itself as a dynamic hub for progress centered around the expansion of Duba port. Expected to be powered by 100% renewable energy, Oxagon's blueprint includes a desalination plant, a hydrogen facility, and an oceanographic research center, emphasizing NEOM's commitment to sustainable practices and scientific exploration. Oxagon The Line At the heart of NEOM's vision lies , a linear city stretching across 170 kilometers. The Line promises to be a blueprint for sustainability and efficiency. Free from the constraints of conventional urban design, it will be powered by 100% renewable energy and will feature cutting-edge transportation systems and AI-powered services. The Line's unique structure emphasizes proximity to nature, ensuring that no resident is more than a five-minute walk away from green spaces, offering a harmonious blend of urban and natural environments. The Line NEOM’s Impact Right now, the whole world is keeping a close eye on NEOM and waiting to see how it unfolds. If the project turns out to be a success, it could have implications spanning far and wide. Economic and Societal Impact The economic and societal impact of NEOM will be unprecedented. Job creation in emerging sectors such as data analytics, cybersecurity, and could reshape the employment landscape. NEOM is expected to create hundreds of thousands of job opportunities for locals and immigrants alike in the country. The Line alone is by 2030. AI programming expected to create 380,000 jobs Furthermore, the very essence of smart cities, which are convenience, efficiency, and sustainability, has the potential to elevate citizens' well-being. The findings of a by the McKinsey Global Institute show that cities that use smart technologies improve some key quality-of-life indicators by 10 to 30 percent. This contributes to shorter commutes, fewer crimes, a reduced health burden, and more lives saved. In addition to that, when citizens are freed from mundane tasks by automation and empowered by technology, they can focus on creative pursuits, personal growth, and contributing meaningfully to society. report Global Implications NEOM's success could also potentially send ripples across the globe, inspiring other nations to follow suit. As we witness various countries embarking on their smart city journeys, NEOM's innovative approach might serve as a benchmark for what's possible. From China's tech-driven city of to India's plans for sustainable urban development in , the world is closely watching and learning from NEOM. Xiong'an Lavasa Challenges facing NEOM The path to smart city utopia isn’t without thorns, and NEOM faces a spectrum of challenges and severe criticism that demand careful consideration. NEOM has not been without its share of controversies, with notable issues including the from their ancestral lands and allegations of human rights violations against migrant laborers. forced displacement of the Huwaitat tribe Critics have also voiced legitimate concerns about the feasibility and long-term sustainability of NEOM. The sheer magnitude of the project, coupled with its potential environmental repercussions, has prompted valid inquiries. Realizing the city’s grand ambitions, such as achieving full reliance on , building a floating trade hub, and implementing autonomous transportation, presents substantial challenges. renewable energy The geopolitical landscape surrounding NEOM introduces an additional layer of uncertainty. Given its proximity to Egypt and Jordan, the intricate dynamics of the region add complexity that could influence the project's outcomes. Then, there are also concerns about the amalgamation of technology in the design for NEOM. A prominent reason why Songdo didn’t achieve the success it was meant for was its . The city was designed with technology in mind, keeping humans in the peripheral rather than keeping the needs of humans in mind and using technology to fulfill those needs. NEOM must avoid making the same mistake. technology-centric design Will Smart Cities Be the Next Big Thing? As the sun sets over the desert, NEOM illuminates the horizon with countless possibilities. In the wake of this transformative vision, the question looms: Will smart cities become the next big thing? As we witness the convergence of , sustainability, and urban living, it's undeniable that smart cities hold immense promise. NEOM's grand endeavor underscores the potential for harmonizing innovation and nature. However, for this vision to thrive globally, challenges like environmental impact, inclusivity, and geopolitical complexities must be navigated with wisdom. technology The path forward demands a delicate balance between progress and responsibility, ensuring that the evolution of urban landscapes becomes a testament to human advancement that respects our planet and fosters shared prosperity.

Saudi NEOM Sparks a Brighter Future: Will Smart Cities Be the Next Big Thing?

সৌদি NEOM একটি উজ্জ্বল ভবিষ্যত তৈরি করে: স্মার্ট শহরগুলি কি পরবর্তী বড় জিনিস হবে?

Saudi-Arabiens NEOM eröffnet eine bessere Zukunft: Werden Smart Cities das nächste große Ding sein?

NEOM saudita genera un futuro más brillante: ¿Serán las ciudades inteligentes la próxima gran novedad?

NEOM saoudien ouvre un avenir meilleur : les villes intelligentes seront-elles la prochaine grande nouveauté ?

सऊदी NEOM एक उज्जवल भविष्य की आशा करता है: क्या स्मार्ट शहर अगली बड़ी चीज़ होंगे?

サウジのNEOMが明るい未来を拓く: スマートシティが次の目玉となるのか?

사우디 NEOM은 더 밝은 미래를 촉발합니다: 스마트 시티가 차세대 혁신이 될까요?

NEOM saudita desperta um futuro mais brilhante: as cidades inteligentes serão a próxima grande novidade?

Suudi NEOM Daha Parlak Bir Geleceğe Yol Açıyor: Akıllı Şehirler Bir Sonraki Büyük Şey mi Olacak?

Saudi NEOM khơi dậy một tương lai tươi sáng hơn: Liệu các thành phố thông minh có trở thành điều lớn lao tiếp theo không?

沙特 NEOM 开启更光明的未来：智慧城市会成为下一个重大事件吗？

This is the story of how we cut down our AWS costs by 80% in just under two weeks. AWS is a candy shop for developers I need to begin with an introduction. We have used AWS since 2018 for all our projects, and it has worked miracles for us. We are a fully distributed team, and having our own data center somewhere in the world would be problematic. It is much easier to rent resources from AWS and skip all the capital expenses. The problem with AWS is that developers can basically create any resources without having to approve them with our financial department. With traditional data centers, this is not the case — buying an additional server would need getting an invoice from the store and asking the financial department to pay for it. So, basically, the basis of the problem is that with AWS, the developers can just buy the resources in the amounts they want and when they want. What did we do to cut AWS costs? We are not a huge company, and our AWS costs are just a little higher than $7k per month across all AWS accounts. Also, it is worth mentioning that we host only DEV and QA stands, as PROD stands are paid for by our customers. Our resources are mostly individual dev machines, test databases, and various custom resources for research projects such as Kinesis Firehose, Sage Maker, etc. So we have a lot of random resources that are hard to categorize, structure, predict and control. So, how did we tackle lowering our AWS costs? , we started looking into the Cost Explorer and identified the most expensive items: First We found a Bitcoin Node that was running for the last four months and costing us $600/month as it required a large SSD with additional provisioned speed. We had a small research into Bitcoin Ordinals and did not remove the machine. Resolution: we archived the volume (costs $6/month) and terminated the VM. Savings: $594/month We found an Nvidia Tesla GPU machine that costs $531/month. We use it up to this day for generative AI experiments. We are thinking of building our own app that generates text-to-video, so we need this machine. Resolution: moved the volume to a spot instance. Savings: $360/month Not the most expensive, but the most amazing finding was that we forgot to remove a demo-PROD stand in one of the unused regions where we deployed our terraform scripts to test the rollout of PROD “from scratch”. Savings: $340/month. Many smaller items. Resolutions: vary. Savings: $1700/month , we started moving everything possible to spot instances. This is a simple procedure. For an individual machine, you need to shut it down, detach the volume (remember to write down the mount path), and then terminate the machine. Then you create a new spot instance (no matter what AMI, just make sure that the CPU architecture is compatible with your previous volume). Once the spot instance is created, detach (and don’t forget to delete!) the new volume and attach the previous volume on the same mount path as it was on the original machine. For Beanstalk environments, it’s simpler — we just changed the capacity settings to utilize only spot instances. Second Savings: $1000/month , we cleared unused S3 buckets (we did some auto-trading bots that accumulated a lot of streaming data). And setup auto-removing of data in multiple S3 buckets, so that we don’t store trading data for more than a year as it becomes completely obsolete and unuseful. Third Savings: $300/month , we shrank some resources. It’s a matter of checking the consumed CPU and RAM, and if we see less than 50% constant use, we lower the tier. Fourth Savings: $300/month (would be 3x more on on-demand instances) , we set up auto-shutdown on individual machines. We created multiple lambda functions for different types of tasks: shutdown a SageMaker Jupyter VM after 1 hour of inactivity, shutdown individual VMs, DEV and QA stands for the night period when nobody is working. These lambda functions are run on cloudwatch events daily. There are lambdas to enable DEV and QA stands as well to facilitate the process. Fifth Savings: $500/month Also, we implemented some smaller solutions for further savings, but they are not covered in this article. So far, we have saved about $5500 of our $7000 monthly bill, which is around 80% of all costs! I knew that we were overspending on AWS, but never knew that it was THAT much. Over the course of the year, it means about $66,000 in savings. How do organizations approach cloud costs optimization? After having our own experience with cloud cost optimization, I understood how important it is to carefully track cloud costs. Basically, cloud cost optimization can save enough to boost the business if you put the saved money into marketing. Or you could take it out as dividends and buy a new car. The sum is great and there are many things that can be done with it. Since it is out of the question that cloud cost optimization is an absolutely needed endeavor, how do companies approach it? Let’s think about ways of implementing cloud waste management, from the simplest to the most advanced. 1. Buying just virtual machines You could approach the problem in the most traditional way possible. Deny the countless possibilities provided by AWS and just restrict your developers from buying EC2 machines. SQS? No. DynamoDB? No. Just use EC2 virtual machines and install everything on them. Pros: You can predict the spending very well, as there is a flat rate for each type of EC2 VM The developers will stuff the available machines with the software they need. Just like in a traditional physical on-premise data center, thus increasing the effectiveness of money spending Cons: You miss out on the benefits of auto-scaling Your developers waste time implementing things that are already there You miss auto-updates of software that would be applied automatically All-in-all, it is not a good strategy to work with the cloud as if you just rent hosting on GoDaddy. 2. Review every request What if you allow the developers to use and scale any resources, but they have to negotiate them with the special department that controls the costs? The developers do not have their own rights to buy/scale resources, but they can ask a special person to buy/scale a resource for them. Let’s say a developer needs a Kinesis Firehose endpoint (yes, I mention a service that you most probably have not even heard about). Would it be a simple task for the developer to explain what he/she wants to the controller? And then the developer should also explain the reasoning behind scaling and probably even prove that the architecture choice is good and not wasteful in terms of cost management. Upon providing a specific example, one could see that it just does not work this way. It could work only if the cost management team consists of experts. And that’s just the tip of the iceberg. Now consider: A resource becoming unneeded due to the architectural change A developer leaving the job and not removing the resources they used for their individual development purposes An emergency when a resource needs to be scaled quickly to avoid business trouble Pros: The developers are allowed to utilize the maximum benefits of AWS-managed resources The spending is well-controlled Cons: Cloud waste can still come from non-removed unneeded resources The cost management team needs a high level of AWS knowledge The bureaucracy level can damage business 3. Hire a FinOps team A more advanced way would be to actually find and hire experts in AWS that would control the spending. They can use the tools that AWS provides to control spending out of the box. It has: a cost explorer a tagging subsystem reserved instances savings plans cost anomalies much more These tools are not user-friendly and require well-educated personnel that knows what to do with them. However, you can actually start controlling your cloud costs. This approach requires not only tools and highly skilled workers but also a framework in which the team works: periodic check-ups of underutilized resources, shrink&clean procedures, and others. A team that is basically DevOps with a financial-conscious approach is called FinOps. Pros: The developers have the full power of AWS Small bureaucracy overhead for the developers The financial team has full control over the spending in various aspects: per project, per team, etc. The developers consume resources in a conscious manner Cons: Requires highly educated staff that mostly does not even exist yet, so you need to train one Vulnerable to the human factor The reaction time is as fast as the period between check-ups — an unused EC2 machine can stay on for 1–2 weeks or more 4. Use cloud waste management software Once you think seriously about hiring (or growing your own) FinOps team, you should also consider a 3rd party cloud cost optimization software, such as Infinops. It is your automatic FinOps team member that works 24/7 and is not susceptible to human error. Such software automatically controls your cloud for underused resources and other known ways of saving, such as: Using spot instances Using reserved instances Reducing the number of OpenSearch clusters in the QA environment Disabling personal VMs for the night Auto-shutting off expensive SageMaker VMs with Jupyter etc All those tips come automatically, as your system is constantly scanned for changes. And such advice can . This usually means saving at least tens of thousands of dollars over the course of the year. save you up to 80% of your monthly bill Pros: Great tool for the FinOps team Helps beginner FinOps with optimization techniques Reduces the human factor Enforces periodic reviews of resource consumption Enforces tags, lifecycle management, etc Allows tracking multiple AWS accounts at once Cons: Has its own cost (usually much less than it saves) , I'd like to say that managing AWS costs can be tricky. The company's 80% savings show it's possible to spend less with the right moves. Whether you're setting limits on resources, getting approvals, using expert teams, or automated tools, it's essential to keep a close eye on expenses. After all, using the cloud should be about making things easier, not pricier. In conclusion

Dramatic AWS Costs Optimization in 5 Steps (How We Saved 80%)

Optimización espectacular de los costos de AWS en 5 pasos (cómo ahorramos un 80 %)

Optimisation spectaculaire des coûts AWS en 5 étapes (comment nous avons économisé 80 %)

5 चरणों में नाटकीय AWS लागत अनुकूलन (हमने 80% की बचत कैसे की)

5 ステップでの AWS コストの劇的な最適化 (80% を節約した方法)

Otimização dramática de custos da AWS em 5 etapas (como economizamos 80%)

Tối ưu hóa chi phí AWS ấn tượng trong 5 bước (Cách chúng tôi tiết kiệm 80%)

通过 5 个步骤实现显着的 AWS 成本优化（我们如何节省 80%）

In a world, increasingly dependent on interconnected devices, emerges as a revolutionary concept that holds immense potential for the Internet of Things (IoT). By bringing computational power closer to data sources, edge computing enables real-time processing, reduced latency, and enhanced efficiency. edge computing In this article, we unravel the possibilities and opportunities that arise when edge computing converges with IoT applications, shaping the way we interact with technology and unlock new realms of innovation. According to Gartner's projection, a staggering will transcend the conventional realms of data centers and cloud environments by 2025, underscoring the rapid adoption and growing significance of edge computing in the data-driven era. 75% of data creation and processing Understanding Edge Computing At its core, edge computing entails decentralizing computational power and data storage to the edge of a network closer to the devices and sensors generating data. Unlike the centralized cloud computing model, edge computing shifts processing and analysis capabilities to the "edge" of the network, in proximity to where data is generated. This proximity reduces the need to send vast amounts of data to distant cloud servers, resulting in faster response times and decreased network congestion. Critical Principles of Edge Computing: By processing data closer to the source, edge computing reduces latency and ensures real-time data analysis. Proximity: Edge computing employs a distributed network of devices, gateways, and servers to handle computing tasks. Distributed Architecture: Edge devices are equipped with embedded artificial intelligence capabilities to perform immediate data analysis and decision-making without relying on cloud resources. Localized Intelligence: Edge computing allows for easy scalability, as the network can be expanded by adding more edge devices or gateways as needed. Scalability: Benefits of Edge Computing in Comparison to Cloud Computing: With data processing occurring at the edge, edge computing minimizes latency and enables real-time responsiveness, which is critical for applications such as autonomous vehicles, industrial automation, and healthcare systems. Reduced Latency: By processing and filtering data at the edge, only relevant information is transmitted to the cloud, optimizing bandwidth and reducing data transfer costs. Bandwidth Optimization: Edge computing improves reliability by reducing single points of failure. Even if a connection to the cloud is lost, edge devices can continue operating autonomously. Enhanced Reliability: Edge computing keeps sensitive data closer to its source, reducing the risk of data breaches during transmission to the cloud. This ensures greater privacy and compliance with data protection regulations. Improved Privacy and Security: By reducing the amount of data sent to the cloud and leveraging localized computing resources, edge computing minimizes cloud infrastructure costs. Cost Efficiency: The Role of Edge Computing in IoT When it comes to cloud-based IoT systems, the traditional approach has been to send substantial volumes of data to centralized servers for processing and analysis. However, this reliance on centralized servers, despite offering scalability and storage capabilities, presents numerous challenges. In light of these challenges, the emergence of provides a promising alternative that brings computation closer to the data source, revolutionizing the way we handle and extract value from massive data streams. edge computing in IoT With data having to travel long distances to reach the cloud and back, latency issues arise, resulting in unacceptable delays for real-time applications. Latency: The exponential growth of IoT devices strains network bandwidth, making it increasingly difficult to handle the sheer volume of data being transmitted. Bandwidth limitations: Centralized data storage increases the risk of cyber threats and data breaches, raising serious concerns about the confidentiality and integrity of sensitive information. Security concerns: How Edge Computing Addresses These Challenges: Edge computing emerges as a standard that revolutionizes IoT systems by bringing computation and data analysis closer to the edge of the network. Here's how it addresses the challenges faced by traditional cloud-based IoT systems: By processing and analyzing data at the network edge, edge computing significantly reduces latency. This enables real-time decision-making, which is vital for autonomous vehicles, industrial automation, and healthcare monitoring applications. Reduced Latency: Edge computing distributes the processing load across local devices, minimizing the need for large data transfers to the cloud. This optimizes bandwidth utilization and alleviates network congestion, making IoT systems more efficient and responsive. Enhanced Bandwidth Efficiency: With edge computing, sensitive data can be processed and stored locally, reducing the vulnerability associated with transmitting it to the cloud. This decentralized approach enhances data security and privacy, mitigating the risks of potential . Improved Security: cyberattacks By leveraging edge computing, IoT systems can overcome the limitations of traditional cloud-based architectures, unlocking a world of possibilities for innovation, scalability, and reliability. Key Applications of Edge Computing in IoT Here are the diverse and impactful applications of edge computing within the realm of the IoT, revolutionizing the way we interact with technology and shaping the future of various industries. Smart cities and infrastructure management: Imagine a city where traffic flows seamlessly, energy consumption is optimized, and public safety is enhanced. Edge computing enables smart cities to monitor and analyze vast amounts of data in real-time, enabling efficient traffic management, intelligent street lighting, waste management, and improved public services. From parking optimization to air quality monitoring, edge computing empowers cities to become more sustainable and livable. Industrial IoT and Smart Manufacturing: In the realm of industrial IoT, edge computing is transforming traditional factories into intelligent, interconnected ecosystems. By processing data locally at the edge, industrial operations can achieve low-latency control, predictive maintenance, and real-time analytics. With edge computing, manufacturing plants can enhance productivity, reduce downtime, and improve operational efficiency. Connected Healthcare and Telemedicine: Edge computing is revolutionizing healthcare by enabling advanced patient monitoring and remote care. By collecting and analyzing data at the edge, healthcare providers can deliver real-time insights, monitor patient vital signs, and enable early intervention. Telemedicine applications are also empowered, ensuring high-quality healthcare services for remote patients, even in areas with limited connectivity. Intelligent transportation systems: Efficient transportation systems are essential for modern societies. Edge computing plays a pivotal role in creating intelligent transportation systems that enhance safety and optimize traffic flow. By processing data from connected vehicles, traffic sensors, and surveillance cameras at the edge, real-time traffic monitoring, predictive analytics, and adaptive traffic signal control can be achieved, reducing congestion and improving travel experiences. Energy management and sustainability: As the world strives for sustainable energy solutions, edge computing offers valuable insights and control over energy consumption; by leveraging edge devices, renewable energy systems can be better managed, optimizing energy distribution and storage. Additionally, edge computing enables real-time monitoring of energy usage, leading to energy-efficient smart buildings, homes, and grid systems. Advancements and Innovations in Edge Computing At the heart of edge computing lie intelligent edge devices and gateways. These compact powerhouses act as intermediaries, bridging the gap between the vast network of IoT devices and the cloud. Equipped with processing capabilities and connectivity options, edge devices and gateways enable data collection, analysis, and decision-making at the edge of the network. These devices are the unsung heroes enabling distributed computing and localized intelligence, from smart sensors to edge servers. Gone are the days when data had to traverse long distances to reach the cloud for analysis. Edge analytics has revolutionized the way data is processed by bringing computational power closer to the source. By leveraging edge computing, organizations can perform real-time analytics on massive volumes of data, extracting valuable insights without latency. Whether it's detecting anomalies in industrial systems or enabling predictive maintenance, edge analytics empowers industries to make faster and more informed decisions. The integration of AI and machine learning (ML) with edge computing has opened a realm of possibilities. Edge AI brings brightness to the edge devices themselves, enabling local decision-making and autonomy. With ML algorithms running directly on edge devices, real-time analysis, and inference have become a reality. Edge AI also addresses privacy and data security concerns by processing sensitive information locally, minimizing reliance on cloud infrastructure. Conclusion In the vast landscape of IoT applications, edge computing emerges as a beacon of potential and possibility. By bringing computing power closer to the data source, edge computing offers real-time processing, reduced latency, enhanced security, and localized intelligence. The potential of edge computing in IoT applications is truly transformative, revolutionizing industries such as smart cities, healthcare, manufacturing, transportation, and energy management. As we continue to explore and harness its capabilities, we are poised to unlock a new era of efficiency, connectivity, and innovation. Embracing the potential of edge computing paves the way for a smarter, more interconnected world where data becomes actionable insights at the edge of the network.

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