In the year 1900, the average life expectancy was 47. A century later, it was 77 globally. Whether or not we extrapolate this trendline linearly, exponentially or asymptoticly, what we do know broadly speaking is

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ReFocus AI helps insurance agents, brokers, and carriers improve policyholder retention by identifying which active customers are at risk of canceling.

ReFocus AI

HackerNoon Reporter: Please tell us briefly about your  background. I don't believe it’s possible for someone to ‘just do a startup.’ It’s a mission you fall in love with over and over, it’s a passion to breathe the rarefied air of a fast-growing technology company, and it’s your child. All of these things simultaneously and sometimes in competition with each other. I caught the startup bug while working for a space technology company and I have never looked back. Later, I had the opportunity to work for one of the largest catastrophe insurance companies in the world, which provided the mental springboard to my own company. What's your startup called? And in a sentence or two, what does it do? Our company’s name is ReFocus AI. ReFocus AI is a data-driven sales enablement platform that derives insights from every interaction and helps match customers’ wants and needs with suppliers’ products and services at scale. Over 80% of people purchasing insurance will speak to an insurance professional, but when it comes to how insurance agents sell, there is a major disconnect. They have a difficult time weeding through all the prospects they could be contacted to find the fraction of the 80% that want to purchase today. What is the origin story? We started it as my kitchen table in September of 2021. Then BAM! COVID-19 popped onto the world stage. When we began the company, we knew there was a major opportunity to use the data that companies already have - locked up in their CRMs and data warehouses - to help companies make better business decisions. But that’s all we knew at the time. What proved elusive at the beginning was . So we picked up the phone and spoke to almost 100 people in 3 months. what the better decisions were for Starting a business so close to a global pandemic may seem foolhardy. But what we found is that it actually pushed us to dig further into the problem we were trying to solve. I remember a conversation with a prospect 6-months in. They told us they loved our product (which compared to today was almost something else entirely). But unless we could increase their revenue, they would never consider purchasing it. And that was our light bulb moment. Enter ReFocus AI as a sales enablement and opportunity management platform. We have not looked back since. What do you love about your team, and why are you the ones to solve this problem? I could not ask for a better team. It’s also not the one we started with. Out of the three original co-founders, I am the only one that remains. A new addition to our team, Dr. Nisar Hundewale, is currently the second co-founder. As our Chief Data Officer, he brings 20+ years to the team solving complex lead and demand generation problems for Fortune 50 companies. We have an amazing roster of advisors and a great team that works tirelessly. Everyone is here for a reason, and they add value beyond what any one of us could do alone. As a group of individuals, we have an amazing echo effect where ideas are amplified and strengthened. The problem we are tackling is a tough nut to crack. It’s forward-thinking which means that our prospective customers are not yet aware of the problem and from a technology point-of-view, it’s only now becoming possible to solve as companies realize their data is an asset. We are the team solving this problem because we are the people who have experienced this problem first hand in past (and for some on our team) current jobs. Pulling this off means we will change how companies interact with their prospects forever - and may just make traditional marketing obsolete as a result. If you weren’t building your startup, what would you be doing? I haven’t given much thought to what I would be doing if it was not building ReFocus AI. Call it a bandwidth issue! At the moment, how do you measure success? What are your core metrics? We determined early on that to be successful, our machine learning models must be accurate. So we measure the F-Score and track it over time for all of the models our customers have in production. From a business health and growth standpoint, we also track our customer acquisition cost and burn rate. Success for us is macro - we are trying to shift how insurance is sold. When the industry adopts ReFocus AI as its core enabler to make that happen, we will have won. What’s most exciting about your traction to date? Our traction has grown exponentially. Perhaps the most exciting thing to me personally is that we have validated that companies can increase their revenue by over 10% by enabling their sales teams to target real-time opportunities. We have been able to validate this in both the insurance and logistics industry. In the grand scheme of the universe, we have been around for less than a 2-year blip (at the time of writing). That we have been able to scale so quickly is a testament to our entire team’s vision and ability to break down complex problems into streamlined end-user-facing solutions. What technologies are you currently most excited about, and most worried about? And why? I am extremely bullish on battery technology that will literally power the world using sustainable energy. Making solar and wind power viable at scale to overtake fossil fuels requires the ability to store it cheaply and safely. In the last few years, we have seen breakthroughs in battery technology that will make a green future possible. Blockchain technology makes me nervous, but not exactly worried. And I’m not referring to the underlying distributed ledger or cryptocurrency. The value in the blockchain is having the ability to come back and verify something later and trust its accuracy. Blockchain seems to be popping up everywhere and in everything. Blockchain is not a magic solution and honestly, should only be included where that later validation is required. What drew you to get published on HackerNoon? What do you like most about our platform? Getting published on HackerNoon was always a goal of mine. I consider it a professional accomplishment having now been published over 5x on the platform. I like HackerNoon because of the originality of the content and the quality of the ideas that are shared on it. What advice would you give to the 21-year-old version of yourself? Do what you love and love doing it. What is something surprising you've learned this year that your contemporaries would benefit from knowing? We still have not communicated with aliens. The wait continues…. Vote for ReFocus as the , Sacramento. Startup of the Year

"Do what you love and love doing it": Colby Tunick, ReFocus AI Co-Founder

image source: depositphotos.com Today, we can expect to live longer than ever before. The bad news — there may be a big deficit to manage the expenses of the aging population, according to a . report by the World Economic Forum Based on present-day working population’s contributions being used to fund the pension of the aged and with falling birth rates, the existing system is facing tough challenges. Often termed as another form of , which work on principle of “Take from Peter to Pay Paul,” the current pension system needs a foundational revamp. Even in developed countries where governments claim efficient pension systems, getting the amount you are entitled to is often complicated. ponzi schemes The Challenges Facing Pension and Welfare Systems Today Many present-day workers either lack easy access to pension plans, or they abstain from buying the ones that are available. The problem is compounded as the increasing number of self-employed, gig economy, and informal sector workers hardly think about retirement planning. Overheads of managing pension accounts and operations as well as inflationary pressures further diminish the returns for the limited number of those who invest in pension schemes. Frauds and scams illegally siphoning pension funds are an additional headache to be dealt with as well. The same WEF report estimates that the worldwide pension savings gap will grow at the rate of 5 percent per year from the US $70 trillion in 2015 to US $400 trillion by 2050 — around five times the global GDP resulting in a highly skewed, high-cost, mismanaged pension system which will also lead to a deficit. Can Blockchain Offer an Alternative? image source: depositphotos.com While it may be difficult to change the saving habits of individuals, the infrastructure around the pension ecosystem can be overhauled to not only address the existing shortcomings, but also promote positive participation of individuals. To address the needs of the beneficiaries, increase participation, and to simplify the complex legacy pension infrastructure, some blockchain based pension systems are attempting to make the pension infrastructure refocus on its original aim of being an “easy and necessary medium for guaranteeing a safe-and-secure financial future.” Low-cost, lean, efficient and near fraud-free operations, an auditable trail of an individual’s transactions, total transparency, and easy transfers of user profiles are a few benefits offered by such blockchain-based pension solutions. How Will Blockchain-based Pension Systems Work? Though each such system will have its own mechanism, the basic infrastructure will share many similarities. For instance, all stakeholders and entities such as consumers, institutions, developer communities, sector advisors and service providers will join the blockchain as participants with each being given the ability to execute necessary tasks. All transactions as well as assets will be tokenized so as to maintain transparency and a solid immutable audit trail. An individual making a payment for an investment, a pension fund making investment in a security, or a fund being withdrawn will all be authenticated and recorded on the blockchain, and aided by its native crypto token. Depending on the configuration, all assets such as user profiles, funds, and investments- can be moved from one chain to the other if needed. Such systems would allow full autonomy to the user to select how his money is invested in different assets and in what proportion. Blockchain Solutions In many countries, government contributes a part of retirement savings, the employer contributes another, and the individual contributes the rest. Blockchain opens the door for the users to make additional investments which may extend to crypto tokens and digital assets, allowing for a new form of diversification. For instance, the blockchain pension offering from which is backed by APG, the largest pension fund of the Netherlands, is planning to allow participants to . NestEgg own a piece of future infrastructure The system will incentivize the network participants for contributing in ways which will benefit the end users as well at the pension ecosystem. Many such solutions will use smart contacts, the pre-defined self-executing agreements that form the basis of blockchain based business transactions. Another project working on a solution for the pension industry is . The venture is building a blockchain-based platform that allows users to effectively build and manage retirement portfolios. Akropolis Akropolis provides a decentralized pension marketplace which gives users access to a variety of pension products. This gives workers the flexibility to choose the most fitting pension product given their needs unlike with traditional pension schemes where these are usually chosen for them. The use of blockchain also makes transactions secure and transparent. Users will be able to track fund performance and audit their portfolios at any given time should they wish. The project is envisioned to become a multi-jurisdictional, international platform for the efficient delivery of pensions and retirement benefits. Led by crypto luminary and ex Lehman Brothers analyst Anastasia Andrianova, the team plans to release the first version of the platform, external APIs, and dedicated hardware wallets by 2019. It will initially use the Ethereum blockchain but is planned to become blockchain-agnostic in the longer term. Owing to the ongoing challenges and inefficiencies, the inner workings of pension funds have been questioned time and again across the globe. Blockchain and distributed ledger technology may provide the required solution for improving the pension process, administration, workflow and infrastructure. Additionally, it might help increase the user participation in the pension industry which is also a leading cause of the big deficit. However, user adoption and necessary adherence to the local regulations will be the keys to success for all such projects.

Attempting to Reform the Global Pension System With Blockchain

When the COVID-19 pandemic forced life to shift online,modern tech was a saving grace. Team collaboration software allowed newlydistributed workforces to organize themselves, VPN provided access to workplace networks, and Zoom calls covered everything from sales meetings to Yoga classes. The situation also showcased that cutting-edgetechnology like Artificial Intelligence (AI) has the potential to and productivity, especially during remote work. boost businesses’ efficiency The indicate that distributed workforce models are here to stay. 93% of survey respondents stated that they are managing to cover their workload from home, and 60% prefer to do so. In another survey, 77% of managers stated that they were planning to maintain the same level of remote workforce engagement as during the pandemic - or even to expand it. latest statistics Given these trends, businesses are looking to seamlessly integrate AI and machine learning into their processes with maximum benefit - and to sustainably prepare for the remote work future. Here are five areas of application, and the best tools in each. Assembling the Best Remote Team In hiring, AI can help managers make the best choices in filling roles. Traditionally, recruiting is a tedious process that involves rooting through a stack of (digital) resumes to try and filter out the best candidates. Not only does this take up massive amounts of managers’ time but it also often leads to suitable applicants being overlooked. In contrast, AI can screen hundreds and even thousands of CVs for the most qualified and experienced candidates in a matter of minutes. Though some algorithm skewing inevitably remains, the process can also be used to , especially on gender and race. This will help businesses to not just find the best possible additions to their teams, but also to gain a reputation as forward-thinking. counteract human bias Amongst the best tools currently available for these tasks are Seekout, Fetcher, and Hiretual. Leveraging AI, these platforms can source talent and build custom shortlists of candidates based on job descriptions. Monitoring Productivity When it comes to remote work productivity, AI can be used to monitor staff performance accurately and with minimal invasiveness. From tracking platform usage to gathering survey-based staff feedback, AI tools are capable of gathering massive amounts of information. Based on this information, they produce nuanced and impartial performance reviews that offer a level of insight human management will struggle to replicate. IBM’s flagship , with other solutions offered by TheHub.ai with their KYE product, NICE Performance Monitor, and Reflektive. AI Watson has made Fortune headlines Engaging Digital Assistants Among AI’s most futuristic and useful applications are digital assistants. Today, anyone can give AI assistants instructions on the fly, from scheduling meetings to following up on emails. Overall, these assistants save time and can help remote team members stay on track. With the massive advances in AI voice recognition and natural language processing, these assistants can not just understand what their users are saying, they can even help , far beyond traditional spell checking. improve their language in terms of emotional engagement Some of these assistants, such as Siri and Cortana are already built into devices. However, for business applications, a more specialized tool can come in useful. Amazon was perhaps the first to offer one by launching Alexa for Business in 2017. Other solutions include Adenin’s Now Assistant and Digital Assistant, and IPsoft’s Amelia. Accounting suggest that within the next five years, AI will take over 30-50% of traditional shared service roles, including those in accounting. AI can help businesses stay on top of expenses and earnings - by recording receipts, automating processes, and periodically delivering in-depth, actionable reports. Recent reports Premier applications in this category include the Pegg chatbot, the SMB-focused Smacc, and a complete bookkeeping solution aptly named Botkeeper. Integrating AI for Creativity and Efficiency Overall, AI can be harnessed by remote team members to save time. Mind-numbingly monotonous tasks can be automated, and people are free to focus on the more challenging and creative aspects of their work. And - it is exactly these creative productivity aspects that remote work benefits. as research has shown Far from fearing AI for potentially taking jobs away from people, the paradigm has shifted to companies harnessing its power. The end goal? To refocus the potential of remote teams, aid them in tedious tasks that could otherwise even impact their mental health, and increase overall productivity at the same time.

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Ahead of the upcoming Spanish regional elections to be held on May 28, and with the aim of going deeper on topics like technological talent, companies as economic engines and innovation, three political parties participated in a round table organized by IMMUNE Technology Institute. “Technology does not understand either ideologies or political colors,” Tesh Sidi, from the parliamentary group Más Madrid, said. The other two participants were Ana Collado, from the Partido Popular, which currently governs the Community of Madrid, and Gonzalo Babé, representative of Vox. The three political groups agreed on the need to guide companies to introduce technology in their businesses and to eliminate economic and bureaucratic obstacles. The lack of tech talent and the speed at which advances were the two main axes of the beginning of the round table, where the need for more women in the STEM field was also discussed. technology Collado and Sidi agreed on the importance of a gender focus in these formations. At the same time, Babé claimed that the low presence of women in was simply due to “mere personal preferences”. technology careers “Currently in Spain there is a lack of 200,000 engineers and there are two million unfilled jobs in the STEM field, how are these figures being addressed from the institutions?”, asked Luis Palacios, CTO of CISCO, and coordinator of the debate. “We need to refocus education, bring technology to school, and teach programming at an earlier age. There is a misconception that to learn technology you have to be an engineer, but that is not the case. It is essential to promote a professional education focused on technology that is dual and public, focused on the needs of the market,” responded Tesh Sidi. On startups and data “Data is the oil of the 21st century,” began the PP representative. “SMEs lack consultancy, someone to guide them, someone to tell them where they have to prioritize”, added Collado- The difficulty for startups when it comes to entering the tech market was also emphasized. Sidi explained that “we live in a circular economy, and as such, we have to design collaborations between SMEs and large companies. There is a clear need for public project proposals and political and budgetary will. For startups, there is plenty of talent but a regulatory framework is lacking, and there is a lack of aid and support from governments.” On this last point, Babé agreed: “What companies need is for obstacles to be removed, both at state and regional level, so that they can work freely. On AI and cybersecurity and the need to address the ethical issues of both cybersecurity and artificial intelligence were the two main points discussed at the last part of the meeting. Cybersecurity Collado and Sidi agreed on the need to establish a consensus before starting to legislate but, when asked if regulation was necessary to address the ethical issues of these technologies, the PP representative answered directly that it was not. “Of course it is necessary to regulate it, but there has to be a consensus framework first, and when there is a consensus within the state and autonomous frameworks, we will be able to talk about laws,” she explained. Sidi, for his part, proposed: “to work horizontally in an observatory that does not impose, but makes proposals to companies, since many of them do not even know what they are doing wrong. To be able to legislate, it is first essential to know how to help companies in this aspect.” Babé disagreed on this point, and assured that “it is good to create a framework for debate on the subject, but it does not have to be legislation, but rather a self-regulation of the companies themselves that make that exercise of reflection.” “The word cybersecurity is very scary for citizens, that is why it is necessary to train the small citizen in this because it is an issue that concerns us all,” Sidi. This article was originally published by Stefano De Marzo on . Novobrief

Spanish Political Party Roundtable on Data, Startups, and AI

Mesa Redonda de Partidos Políticos Españoles sobre Datos, Startups e IA

Table ronde des partis politiques espagnols sur les données, les startups et l'IA

डेटा, स्टार्टअप और एआई पर स्पेनिश राजनीतिक पार्टी गोलमेज सम्मेलन

データ、スタートアップ、AIに関するスペイン政党ラウンドテーブル

Mesa Redonda do Partido Político Espanhol sobre Dados, Startups e IA

Hội nghị bàn tròn của đảng chính trị Tây Ban Nha về dữ liệu, khởi nghiệp và AI

西班牙政党关于数据、初创企业和人工智能的圆桌会议

According to McKinsey, 70 percent of businesses worldwide will be at least one tool powered by artificial intelligence by 2030. The consulting company’s says that the AI global market can grow up to 13 billion USD in a decade giving a 16 percent boost to the economy. using research Artificial intelligence applications are rapidly expanding across all industries helping them recover after the pandemic. Here is the list of the most high-potential AI uses for the next few years. Hyperautomation Intelligent Process Automation, or IPA, allows automating digital processes using artificial intelligence. IPA includes Digital Process Automation (DPA) for data management and process improvement, Robotic Process Automation (RPA) for bringing cost-efficiency to corporate functions of Accounting, Legal compliance, Payments, etc., and Artificial Intelligence (AI) which analyses collected information and recommends actionable decisions based on historical data. According to McKinsey’s research, operational cost-efficiency by up to 35 percent in companies utilizing IPA-based solutions. To achieve this high-performance rate, AI determines weak spots in workflow and suggests actions to improve them. As a result, AI-powered software requires less human involvement in data management which subsequently allows cutting expenses on manpower. improved For example, Bancolombia, a Latin-American banking group, managed to reduce operational errors by 28 percent by manual tasks with robotic. The technology upgrade also resulted in higher customer satisfaction. replacing AI Chips The global chipset market is to reach $57.8 billion by 2026. Chips powered by Artificial Intelligence will be used in industrial and retail robotics, hardware utilities, and a variety of other domains including Healthcare. going AI-powered chipsets collect and analyze data enabling real-time optimization. The technology allows a chipset to perform certain tasks remotely, with no need to contact a central server. For example, AI chips by Edge high efficiency of remote operation, autonomously from hub software. Chips collect data from connected IoT sensors and take decisions on process improvement by themselves, helping to save time on process management. demonstrates AI for Defence According to Meticulous Research, the global AI in the cybersecurity market will $46.3 billion by 2027. Why is the estimate so high? reach The reason is the trend for global connectivity that leads to a higher risk of fraud and security breaches. Artificial Intelligence algorithms can be trained to immediately recognize and automatically block unauthorized access attempts or suspicious activity. Additionally, AI-powered programs can be used to effectively train defense specialists by creating numerous controversial situations based on real and presumable dangers. For example, the most AI projects in the US military are Project Maven, Defense Advanced Research Projects Agency’s (DARPA) Squad X Experimentation Program, and the OFFSET program. The programs exploit AI to advance defense utilities and train the responsible. popular Chatbots and Sexbots According to a Research and Markets report, AI in the chatbot market is going to hit $13.9 billion by 2025. Nowadays chatbots are widely used in customer support services acting as a first-to-go tool to communicate your question. Natural Language Processing technology (NLP) used in chatbots has a rich vocabulary at first and develops it with time after conversations with customers. Artificial Intelligence copies human verbal behaviour and genuinely reflects it in further communication. A well-trained chatbot can save up to 90 percent of the customer care expense spent. Another fast-growing application of chatbots is sexbots. Unlike chatbots designed for troubleshooting, sexbots are used in empathic communication. They bring intimacy and the necessary level of compassion to the table. An impressive benefit of sexbots is that, along with other robotized technologies applied in the sex industry, they allow disabled people to express themselves in the way they want. Generally, the sex tech industry is growing fast, and the total market is expected to reach $52.7 billion by 2026. This growth offers multiple benefits to AI sexbot development. For example, by RealDoll is the most popular sexbot up to date. It can mimic human facial emotions and carry a conversation with a human. The sexbot learns from its speakers and reproduces similar behaviour in a corresponding situation. Harmony Predictive Analytics One of the prime goals of AI development is the deep analytics opportunities that AI opens when it comes to big data. Using its Machine Learning algorithms, Artificial Intelligence can aggregate impressive volumes of data that cannot be processed by human beings. Instead of a human, AI analyses big data and offers well-reasoned decisions based on it. AI for Legal AI can be trained to perform certain attorney duties. It can take months for a human to verify a heap of documents or a few minutes for an AI-powered program to do the same task. A machine cannot replace people at all due to circumstances often dependent on the human factor - in such a case a human expert will need to interfere for a resolution. However, AI is a friend-in-need when it comes to simpler operations. Artificial Intelligence-powered technologies are already used in smart video control systems in traffic control where AI identifies improper behaviour or speed limit violations, and automatically signs of a penalty to an identified car owner. Example: The DoNoPay AI-powered robot lawyer that drivers to manage parking tickets is now being extended to assist with over 100 different areas of consumer rights including customer service disputes like airline flight compensation or subscription cancellation. helps The Internet of Behaviours The Internet of Behaviours, or IoB, allows tracking person location, face and fingerprint recognition, and human behaviour identification. IoB solutions are used in user experience analysis, activity predictions, and instant services. During the pandemic, IoB solutions became highly demanded because businesses and institutions had to immediately have a tool for remote identification of unusual human behaviour. In a fall detection solution, AI an unsafe situation through video control or a wristband device and immediately warns its owner and the connected relatives about the possible falling of the owner. recognizes It is expected that IoB will be used in half of all global software by 2025. Nick Grebenkine, a private investor focusing on AI solutions, believes that IoB will remain the most influential technology for decades due to its high impact on people lies. For example, IoB AI-powered solutions are widely during the pandemic in the US, China and other countries to remotely control human body temperature and safety measures compliance. used AI vs HR Artificial Intelligence can help identify a perfect candidate by using relevant search keywords. In talent acquisition, it takes a lot of time to look through hundreds of CVs. AI can replace recruiters in selecting the best-matching specialists in a few clicks saving hours - and thousands of dollars - on candidate search. You simply enter the keywords and requirements you need and wait for the system to make decisions for you. For example, Artificial Intelligence is used on all online job search platforms such as LinkedIn, Glassdoor, CareerBuilder, and others. AI in Healthcare In Healthcare, Artificial Intelligence is used in medical research and diagnostics. With AI, we don’t need to risk human lives anymore. Instead, we input the medical data into a program and wait for it to predict the probability of various outcomes. Thus, AI saves millions of dollars and years spent on data evaluation, research, and testing. Through high-accurate analysis, AI also saves the lives of dozens of human beings and animals that used to sacrifice their health to find out if a drug was effective. AI is used in the diagnostics of a wide range of diseases including diabetes and autism. Using medical databases and predictive analysis, AI develops diagnoses with recommended treatment advice. A key benefit of AI in Healthcare is the level of preciseness. While there are multiple unknowns where a medical procedure can go wrong, AI can predict an outcome per various scenarios, either in impossible or in the most probable circumstances. For example, ConsumerMedical has a special AI-based program to predict surgery effects. Analyzing patient data, the program estimates the probability of negative consequences of operative intervention and allows predicting what the patient will look like after the surgery. developed Banking In Banking, Artificial Intelligence is leveraged in Cybersecurity, Robotic Process Automation, Internet of Behaviour, Big Data Analysis, Payments, chatbots, support and customer service automation, smart credit calculators, investment predictions, etc. AI in the banking market is expected to reach $447 billion by 2023. A huge benefit of AI in Banking is that a single technology keeps the knowledge of the centuries-old industry, automatically tuning the requirements up to date in full compliance with the industry regulations. For example, almost every bank has applied AI technology to its software. These include Bank of America, JPMorgan, BNP Paribas, UniCredit, Deutsche Bank, and others. Food industry The coronavirus pandemic has boosted the use of AI and robotics in the food industry. AI-powered supply chain management programs help to limit food waste, track crop and food production, control the quality of production, track inventory load, and even suggest stock supply. Artificial Intelligence in the food and beverage market was estimated at $3.07 billion in 2020. The share is expected to grow up to $29.94 billion by 2026. For example, Firmenich Flavors, a perfume and taste company, has relied on AI algorithms to a flavour based on program recommendations. This move is expected to be followed by other creative food ideas developed by a digital mind. create Wildlife In wildlife, Artificial Intelligence is used in the control of wild animal populations, habitats, and existing dangers. AI analyses the relation between wild animals and humans, dependence on weather conditions, and risks due to man-made changes. AI-powered programs can predict if a species is endangered, or if it needs special attention. To enable this analysis, wildlife researchers track animals with IoT sensors and chips put on their skin. Besides that, they watch animals in real-time using ground patrols and air video control systems. Thanks to the use of AI, the researchers have found out that the African forest elephant population has decreased by 65 percent since 2010, and rhinoceros have come close to extinction due to extermination by poachers. This knowledge helps to refocus the efforts to help the animals survive. For example, The Protection Assistant for Wildlife Security app collects data from IoT sensors, ground patrols, and video control systems to create AI-based mathematical models of species population changes. Fashion Retail has suffered a lot from the pandemic, and its resurrection strongly depends on Artificial Intelligence progress in the industry. This idea is by the fact that half of the retailers who had no AI-powered optimization before the pandemic had to face bankruptcy afterward. supported AI in the global fashion market is expected to reach $7.3 billion by 2022. AI solutions are used in smart product recommendations, upselling, and cross-selling on websites. Using AI, you can suggest customer products based on their size and preferences, match clothes with accessories, and even recognize apparel in their photos to suggest similar items. For example, Look.ai is one of a few image-recognition apps on Shopify that help customers apparel in uploaded images and suggest similar products from a retailer store. identify Prospects According to PwC, , with $6.6 trillion coming from improved productivity and $9.1 trillion coming from sales improvement. AI can save up to $15.7 trillion to the global economy by 2030 Believe it or not, in a few years AI will become a leading technology in the global economy, and the sooner businesses hatch it the better they will be prepared for any economic obstacles.

ReFocus AI

refocusai.com

1-10 employees

Since 2019

COMPANY RANKING

REFOCUS AI

EVERGREEN INDEX #9076

ReFocus AI WIKI

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ReFocus AI

refocusai.com

1-10 employees

Since 2019

COMPANY RANKING

REFOCUS AI

EVERGREEN INDEX #9076

RELATED COMPANIESRANK

STORIES ABOUT REFOCUS AI

ReFocus AI WIKI

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