&quot;What’s really amazing, go back to 2016 for a second, the largest fundraising <strong>haul</strong> in history to that point, we did in one day, you know, $16 million,&quot; Eric Trump told Watters.

Trump's criminal conviction is spurring big-dollar campaign contributions as son touts record 24-hour haul

Plans to launch the service were announced earlier this month. It will be released under a totally new brand name that will show football, basketball, baseball and hockey at national and college level.

ESPN, Fox, Warner Bros. Discovery and Hulu are accused of forming a 'sports cartel' as FuboTV files a lawsuit against the TV giants and their plan to launch a streaming service | Daily Mail Online

FuboTV has filed an antitrust lawsuit against ESPN, Fox, Warner Bros. Discovery and Hulu over the companies&#x27; planned sports-streaming venture.

FuboTV files lawsuit against ESPN, Fox, Warner Bros. and Hulu over joint streaming service

Streaming service FuboTV has filed an antitrust lawsuit against ESPN, Fox, Warner Bros

FuboTV files lawsuit over ESPN, Fox, Hulu, Warner Bros. Discovery sports-streaming venture - ABC News

Streaming service FuboTV has filed an antitrust lawsuit against ESPN, Fox, Warner Bros. Discovery and Hulu, which are planning to launch a sports-streaming venture in the fall. The lawsuit has been filed in the Southern District of New York. FuboTV, which focuses primarily on live sports, is ...

FuboTV files lawsuit over ESPN, Fox, Hulu, Warner Bros. Discovery sports-streaming venture | The Hill

FuboTV files lawsuit over ESPN, Fox, Hulu, Warner Bros. Discovery sports-streaming venture

Streaming service FuboTV has filed an antitrust lawsuit against ESPN, Fox, Warner Bros. Discovery and Hulu, which are planning to launch a sports-streaming venture in the fall. The lawsuit has been…

FuboTV files lawsuit over ESPN, Fox, Hulu, Warner Bros. Discovery sports-streaming venture – WOODTV.com

FuboTV argues it has suffered billions of dollars in damages at the hands of alleged antitrust violations in the streaming industry.

FuboTV Sues ESPN, Hulu and Others in Federal Antitrust Lawsuit – Sportico.com

Everything Coming to Hulu in March 2024

Haul

haul

82% of business leaders plan to continue letting employees work from home The research and advisory firm Gartner has found that, after the COVID-19 pandemic abates, businesses will face a new kind of challenge: managing hybrid workforces. , 82% of business leaders plan to let employees continue to work from home in at least some capacity, while 47% plan to allow employees to do so permanently. Major banks — including JP Morgan and Barclays — and technology companies like Google, Twitter, Facebook, and Square are just some of the organizations that have embraced remote work as part of their business models. In fact, three-quarters of the 43 large companies surveyed by spoke of moving towards flexible working policies permanently. According to Gartner The Times Getting serious about remote work and cloud security Temporary or not, the shift to remote work has caused lasting changes to the way people work. Even companies that are going back to having an office presence have developed WFH practices and will continue to enhance them, whether by hiring more remote employees, retaining employees who move out of town, or even shifting entirely and permanently to remote work. “More employees working from home means more devices are connecting remotely, i.e. outside of the secured corporate network. As a result, businesses’ control over data is slipping rapidly. This is why it’s so critical to understand what remote workers are doing with that data and rework the new ‘normal’ to make it more effective and secure,” says Juta Gurinaviciute, Chief Technology Officer at . It’s time for organizations to get serious about implementing the security measures necessary not only for securing remote edge devices and entry points, but also to make these measures part of a unified, comprehensive strategy. All of this forms a single, integrated security framework designed to simplify management and expand visibility and control. Fortunately, most organizations now have the data and know-how necessary to understand how remote work impacts their applications, life cycle, and IT infrastructure, as well as its effect on traffic to applications that are located on-premises and in the cloud. NordVPN Teams The consequences of poor cybersecurity hygiene while working remotely can include anything from compromised sensitive data to unauthorized access to the organization's infrastructure. Secure communications while working remotely can be ensured by the combination of technical solutions and controls with proper employee operations security (OPSEC). “Typically, when it comes to securing your teleworkers, the first item on the agenda is developing a corporate policy. This policy should outline what’s acceptable in a remote working environment, how data is handled, what levels of authorization are available, etc. Risk-based decisions can also be made depending on the types of devices employees use for teleworking (for example, company-issued devices, personal laptops or smartphones, etc.). Devices that haven’t been issued specifically by the company should be subject to more stringent controls,”  says Ms. Gurinaviciute. Organizations need to get up to speed and take measures that ensure data security: Mapping the future of work-from-home security Content storage should be allowed in the cloud only. Use cloud- or web-based storage software that allows for sharing and editing of documents (for example, Cisco Cloudlock). Endpoint security using two-factor authentication. This adds a second layer of security when logging in to important applications. Multi-factor authentication uses OTP (one-time password) technology, certificate-based USB tokens, smart cards, and additional advanced security technologies. Any connections to the company’s network should be performed through a VPN (Virtual Private Network), which uses either SSL (Secure Sockets Layer) or IPsec (Internet Protocol Security) to encrypt communications from the remote worker’s machine; This safeguards both the end user and corporate environment, ensuring that no one is able to decipher sensitive data traffic. Risk management contingency plan. It’s essential to have the possibility to either track a laptop or wipe it remotely in case a remote worker loses a laptop with sensitive business information on it. “Security teams have to develop new policies to respond to these challenges. Some of them have already done so, but their work doesn’t end there. They need to communicate those new policies to the entire workforce and train employees on how those changes affect them,” the expert adds. Combining remote workers with cloud infrastructures can present numerous business opportunities. But without the right cybersecurity and operational framework, the cloud presents serious challenges that can have far-reaching repercussions. NordVPN Teams

Coping with remote security challenges in the long haul

[Photo by on ] 贝莉儿 NG Unsplash Creating sustainable value should be the goal of any company. Leaders can steer the course with long-term vision, models for growth, and a well-oiled work environment. “Persons merely excelling in such areas [as book learning and technology] are nothing more than component parts of a colossal mechanism of the state and society. People of ability are creative people who untiringly pursue lofty ideals, who have rich individuality, and who can make free and effective use of their knowledge and skills.”–Daisaku Ikeda Several decades ago, Japanese philosopher Ikeda defined value creation essentially as “the capacity to find meaning, to enhance one’s own existence and contribute to the well-being of others, under any circumstance.” In narrowly defined financial terms, value creation means creating revenue, which exceeds expenses, which results in a profit, or value, to the stakeholders. Management guru Peter Drucker broadened this narrow notion of business value creation, when he said: “Indeed the modern organization was expressly created to have results on the outside, that is, to make a difference in its society or its economy.” Like Drucker, I believe that the implicit–and explicit–expectation is that businesses should “do good” for others: The ultimate objective is to produce a wealth of new ideas, profound change, dynamic innovation, and sustainable opportunities. To create such value, it requires: driving long-term vision; creating for growth; and fostering synergistic eco-systems. platforms In order to create a real difference, leaders must set their sights on the long-term goals and not get trapped staring at the short-term numbers. Success isn’t measured solely by balance sheets, and focusing on quarterly returns isn’t going to work for the long haul. Volatile times can’t be avoided, but we can be ready for any disruptions in society with a long-term plan that supports our vision and enables us to create meaningful value. Consider the following vision statements: “To bring inspiration and innovation to every athlete* in the world. *If you have a body, you are an athlete.” Nike: “The IKEA vision is to create a better everyday life for the many people. We make this possible by offering a wide range of well-designed, functional home furnishing products at prices so low that as many people as possible will be able to afford them.” IKEA: None of these vision statements actually talks about creating financial value for themselves. Alfred Rappaport, Professor Emeritus at Northwestern University’s J. L. Kellogg Graduate School, in his book, , calls for conquering the addiction to short-term profit–and getting on the path to building long-term value by: Saving Capitalism from Short-Termism Gaining the commitment of senior management and the board to long-term value creation as their governing objective Incentives that reward CEOs, operating-unit managers, and front-line employees for delivering superior long-term value Performance fees that align the interests of investment managers and shareholders. Actively managed funds with concentrated holdings and long investment horizons that tilt the odds in favor of better long-term shareholder returns. He argues that if corporate and investment leaders do not address the problem of short-termism, more financial crises may be in store–and they are likely to be more severe and broader than the meltdown in 2008. The trade-off is clear: We can continue to pursue short-term profit at the expense of economic vitality, individual financial security, and perhaps even the dominance of the free-market system itself. Or we can take the responsible path and generate innovation, quality, growth, and value over the long term. Platforms for Success and Growth The term “platform” is used in a variety of contexts. Early on, it was often a synonym for “operating system” for computing. But today it is used to describe a variety of scenarios. A business platform creates an environment to accelerate operations, get closer to customers and partners, unlock innovation, and drive efficiencies. Tech giants like Microsoft and Google have mastered this, but every industry needs a platform that can propel it to the next level. Take English business magnate Richard Branson, who built a platform that has evolved into the Virgin Group of more than 400 companies. With an iconic brand punctuated by his unorthodox renegade image, Branson has never let change impede his long-term goals. He launched an audio-record mail-order business in 1970 and created Virgin Records two years later. That music and media business became Virgin Megastores. By the time the digital music revolution forced him to shut towering stores, he’d already expanded his brand, starting in the 1980s, when he set up Virgin Atlantic Airways. He’s never slowed his ambitions to extend his platform, beyond Earth even, with his latest plans to build an orbital space launch system. His platform is that of business structure, brand and a unique management culture. A business platform has the following key attributes: It attracts a wide variety of communities of interest. To thrive, these communities should be managed and nurtured. Building a community around a platform enables us to build our business more effectively with the enthusiastic help of customers, suppliers and partners. It does not discriminate between small and large customers or partners. Creating Sustainable Ecosystems A successful business platform drives a living-breathing ecosystem. In an ecosystem–a network of interlinked organizations, such as suppliers and distributors, interact with each other, primarily complementing or supplying key components of the value propositions (benefits for customers) within their collective products and services. James F. Moore, author of The Death of Competition defined “business ecosystem” as: “An economic community supported by a foundation of interacting organizations and individuals–the organisms of the business world. Over time, they coevolve their capabilities and roles, and tend to align themselves with the directions set by one or more central companies. Those companies holding leadership roles may change over time, but the function of ecosystem leader is valued by the community because it enables members to move toward shared visions to align their investments, and to find mutually supportive roles.” Today every leader must nurture a healthy business ecosystem to achieve long-term success. It’s the structure we form around our organizations to get through the bad times and thrive in good times. It’s that environment that allows us to partner with differing individuals and groups who bring unique perspectives and skills. A sustained ecosystem provides us with: New capabilities and process extensions that can be integrated into existing processes. Innovation and improvements through partner/customer feedback that is easier to generate, evaluate, and implement. Business opportunities that can be accessed more quickly and efficiently. Copyright © 2017 by Faisal Hoque. All rights reserved. I am an . Founder of and other companies. Shadoka enables aspirations to lead, innovate, and transform. Shadoka’s accelerators and solutions bring together the management frameworks, digital platforms, and thought leadership to enable innovation, transformation, entrepreneurship, growth and social impact. entrepreneur and author SHADOKA Author of “ ” (McGraw Hill) and “ ” (Motivational Press). Follow me on Twitter . Everything Connects — How to Transform and Lead in the Age of Creativity, Innovation and Sustainability Survive to Thrive: 27 Practices of Resilient Entrepreneurs, Innovators, and Leaders Faisal Hoque Use the Everything Connects leadership app and Suvvive to Thrive resiliancy app for free.

Creating A Company Designed For The Long Haul

The Trick That Agentic Frameworks Pulled On Us

El truco que nos hicieron los frameworks de gestión de agentes

O truco que nos tiraron os frameworks axentes

A trükk, amelyet az ügynöki keretek rántottak ránk

エージェントフレームワークが私たちに仕掛けたトリック

Triks, ko mūs pamudināja aģentu sistēmas

Trucul pe care ni l-au tras de cadrele agentice

නියෝජිත රාමු අප වෙත ඇදී ගිය උපක්‍රමය

Mashtrimi që Kornizat Agjentike na tërhoqën

Ҳилае, ки чаҳорчӯбаи агентӣ ба мо кашид

Agentic Framework'ün Bize Yaptığı Hile

Трюк, який Agentic Frameworks застосував до нас

Thủ thuật mà các khuôn khổ Agentic đã áp dụng với chúng ta

The Top React Reporting Tools

أفضل أدوات إعداد التقارير في React

Las mejores herramientas de generación de informes de React

برترین ابزارهای گزارش واکنش

Les meilleurs outils de reporting React

כלי הדיווח המובילים של React

最高のReactレポートツール

Alat Pelaporan Reaksi Teratas

Najlepšie nástroje na podávanie správ

เครื่องมือรายงาน React ชั้นนำ

Iň ýokary reaksiýa hasabat gurallary

Найкращі інструменти звітування React

Amathuluzi aphezulu wokubika wokusabela

It’s November, which means the holiday season has started — and with it, an influx of online orders. Most consumers who have ordered something online have experienced delays, failed delivery attempts or worse — lost packages. Frankly, tracking numbers and text message updates aren’t cutting it. Could artificial intelligence finally provide a solution to this problem? Packages Are Going Missing and It’s a Problem A package is supposed to arrive today. The person who placed the order watches their front door like a hawk after their app’s tracker changes from “shipping” to “out for delivery.” The estimated delivery time comes and goes — and nothing gets dropped off. Their phone pings with a “Sorry we missed you” message. What happened? Situations like these are common. Whether the seller reschedules, a delivery driver skips part of their route to save time or a porch pirate swoops in at the last second, parcels go missing all the time. In 2023, almost 40% of people in the United States had at least one package stolen. This problem is challenging to remedy simply because the delivery network is massive. Accurately tracking missing orders is possible, but it is a tall order with today’s technical limitations. Companies must monitor warehouse workers, drivers and vehicles. Not to mention, they must handle fraud cases where customers claim to have received nothing when, in reality, they did. Even in ideal circumstances, accidents happen — a small envelope could fall behind the sorting machine or get stuck under a larger box. Even when shipments eventually reach the right address, they stay in the delivery network too long. According to the United States Postal Service (USPS), 17.3% of first-class mail was not delivered on time in the second quarter of the fiscal year 2024, up 3.2 percentage points from the previous quarter. Rates for marketing mail and periodicals also worsened. The number of parcels going missing in the reverse logistics process is often overlooked. Around 30% of all online orders are sent back, compared to just 9% in brick-and-mortar stores. A disappearing parcel is particularly frustrating here, as the person attempting the return may be denied a refund or end up on the hook for the full price of the item. Why Use AI to Track People’s Missing Packages? AI is a powerful technology. A single advanced algorithm can process massive datasets, make data-driven decisions and understand language, regardless of whether it is a chatbot, generative algorithm or deep learning model. Training determines its purpose and behavior, so it can be utilized in virtually any use case. Versatility is useful when analyzing data since processing centers can produce billions of drop-off images or location data points in short periods. There is even more to go through if they use Internet of Things (IoT) tools or telematics systems in their fleets. AI can respond to prompts with voice, image, text or audio output, streamlining information retrieval and summary. Only a technology like AI can handle all the data created by the delivery network’s massive, interconnected system of sellers, fleets, customers and warehouses. Its rapid analysis isn’t its only boon — it also has automation capabilities. An advanced model can operate around the clock without stopping for breaks, food or sleep. Is AI Already Being Used to Track Packages? Several delivery companies are already using AI to track shipments in transit. For instance, the United Parcel Service uses an AI-enabled supply chain. It uses historical and real-time data to calculate the fastest, safest way to boost the on-time delivery rate. Its algorithm can also anticipate disruptions and provide a comprehensive view of the fleet’s network. If other firms deploy AI at the edge — at the network’s boundary where data is created — they wouldn’t have to build data centers to process or analyze the massive amount of logistics information they receive. On top of using fewer computing resources, they’d enable real-time results with little to no delay, improving output accuracy. In a different approach, USPS uses an AI-enabled edge computing program powered by NVIDIA technology. Its model analyzes billions of images that the processing center generates. Before, finding a missing order took a team of up to 10 people multiple days. With this platform, a single individual can track one down in around two hours. 4 Ways AI Can Track Stolen and Lost Packages There are several ways AI can help people track their missing parcels. 1. Provide Real-Time Updates Even with a tracking number, updates are often too vague, inaccurate or outdated to be helpful. According to one survey, nine in 10 people want to be able to track their order, with 47% wanting to know exactly where their item is at all times. AI can fulfill this desire, providing real-time updates as shipments travel. 2. Calculate Delivery Estimate Since as many as 20% of deliveries fail on the first attempt, reschedules are common. While most people wait a few extra days, some don’t receive their items for weeks or months. With AI, they can see how long it will take for a driver to reattempt delivery. The algorithm can factor in variables like weather, consumer demand, route closures and delays. 3. Analyze the Drop-Off Photos An AI could leverage image recognition technology to analyze millions of drop-off photos. It can flag the delivery as incorrect or suspicious if it notices any discrepancies. If there are enough clues in the photo’s visual details or metadata, the model could help workers track down the missing parcel. 4. Answer Peoples’ Questions Globally, 46% of online shoppers expect to receive their orders within two to three days. However, delays, reschedules and cancellations are common. When these situations arise, an AI-powered chatbot can answer consumers’ questions to help them understand what happened. Depending on its design, it could discuss the item’s location or estimate delivery dates. How Integration Could Enhance AI’s Capabilities While AI is powerful on its own, companies could see significant improvements after integration. For example, embedding a machine learning model into a surveillance system or camera doorbell could help recipients identify porch pirates or misbehaving delivery drivers. This way, they could potentially narrow down the location of their missing item. An AI-powered computer vision system — an AI-powered device that can interpret visual information — could do something similar, monitoring production lines and automatic sorting machines for misplaced parcels. If something falls off of a belt, gets stuck under another container or slips between a crack in the machine, it could alert a human worker. Integrations can even help in transit. Combining AI and IoT sensors enables real-time updates on a product’s condition and location. Recipients could receive alerts if their item is tampered with, dropped off at the wrong location or stolen. The algorithm would filter out false positives and concisely explain what happened. Could AI Prevent Packages From Getting Lost? While finding missing parcels is an excellent use of a machine learning model, stopping this problem at the source is a more effective solution. Companies could prevent products from getting lost in the first place by leveraging chatbots for communication. The higher the success rate for the first delivery attempt, the less likely the item will disappear from the system. Decision-makers could also optimize routes to reduce workers’ stress. Demand has far outpaced the workforce’s capabilities — experts predict e-commerce sales will reach over $8 trillion in sales by 2027, a 237% increase in one decade — which puts pressure on drivers to haul more boxes and complete routes faster. Companies increasingly hire freelance and gig workers to compensate for their labor shortage. These workers are often paid by the number of packages they deliver, incentivizing them to race through their routes. Using AI to optimize their trip saves them time, lowering the chance they will make mistakes in transit. The Bottom Line of Using AI to Track Orders Although AI is not a miracle technology, it is one of the best solutions on the market for this problem. Processing centers and delivery drivers need something that can process information rapidly, output responses in natural language and interact with multiple people simultaneously. It’s November, which means the holiday season has started — and with it, an influx of online orders. It’s November, which means the holiday season has started — and with it, an influx of online orders. Most consumers who have ordered something online have experienced delays, failed delivery attempts or worse — lost packages. Frankly, tracking numbers and text message updates aren’t cutting it. Could artificial intelligence finally provide a solution to this problem? Most consumers who have ordered something online have experienced delays, failed delivery attempts or worse — lost packages. Frankly, tracking numbers and text message updates aren’t cutting it. Could artificial intelligence finally provide a solution to this problem? Packages Are Going Missing and It’s a Problem Packages Are Going Missing and It’s a Problem A package is supposed to arrive today. The person who placed the order watches their front door like a hawk after their app’s tracker changes from “shipping” to “out for delivery.” The estimated delivery time comes and goes — and nothing gets dropped off. Their phone pings with a “Sorry we missed you” message. What happened? Situations like these are common. Whether the seller reschedules, a delivery driver skips part of their route to save time or a porch pirate swoops in at the last second, parcels go missing all the time. In 2023, almost 40% of people in the United States had at least one package stolen. This problem is challenging to remedy simply because the delivery network is massive. almost 40% of people almost 40% of people Accurately tracking missing orders is possible, but it is a tall order with today’s technical limitations. Companies must monitor warehouse workers, drivers and vehicles. Not to mention, they must handle fraud cases where customers claim to have received nothing when, in reality, they did. Even in ideal circumstances, accidents happen — a small envelope could fall behind the sorting machine or get stuck under a larger box. Even when shipments eventually reach the right address, they stay in the delivery network too long. According to the United States Postal Service (USPS), 17.3% of first-class mail was not delivered on time in the second quarter of the fiscal year 2024, up 3.2 percentage points from the previous quarter. Rates for marketing mail and periodicals also worsened. 17.3% of first-class mail 17.3% of first-class mail The number of parcels going missing in the reverse logistics process is often overlooked. Around 30% of all online orders are sent back, compared to just 9% in brick-and-mortar stores. A disappearing parcel is particularly frustrating here, as the person attempting the return may be denied a refund or end up on the hook for the full price of the item. 30% of all online orders 30% of all online orders Why Use AI to Track People’s Missing Packages? AI is a powerful technology. A single advanced algorithm can process massive datasets, make data-driven decisions and understand language, regardless of whether it is a chatbot, generative algorithm or deep learning model. Training determines its purpose and behavior, so it can be utilized in virtually any use case. Versatility is useful when analyzing data since processing centers can produce billions of drop-off images or location data points in short periods. There is even more to go through if they use Internet of Things (IoT) tools or telematics systems in their fleets. AI can respond to prompts with voice, image, text or audio output, streamlining information retrieval and summary. Only a technology like AI can handle all the data created by the delivery network’s massive, interconnected system of sellers, fleets, customers and warehouses. Its rapid analysis isn’t its only boon — it also has automation capabilities. An advanced model can operate around the clock without stopping for breaks, food or sleep. Is AI Already Being Used to Track Packages? Several delivery companies are already using AI to track shipments in transit. For instance, the United Parcel Service uses an AI-enabled supply chain. It uses historical and real-time data to calculate the fastest, safest way to boost the on-time delivery rate. Its algorithm can also anticipate disruptions and provide a comprehensive view of the fleet’s network. uses historical and real-time data uses historical and real-time data If other firms deploy AI at the edge — at the network’s boundary where data is created — they wouldn’t have to build data centers to process or analyze the massive amount of logistics information they receive. On top of using fewer computing resources, they’d enable real-time results with little to no delay, improving output accuracy. In a different approach, USPS uses an AI-enabled edge computing program powered by NVIDIA technology. Its model analyzes billions of images that the processing center generates. Before, finding a missing order took a team of up to 10 people multiple days. With this platform, a single individual can track one down in around two hours. team of up to 10 people team of up to 10 people 4 Ways AI Can Track Stolen and Lost Packages There are several ways AI can help people track their missing parcels. 1. Provide Real-Time Updates Even with a tracking number, updates are often too vague, inaccurate or outdated to be helpful. According to one survey, nine in 10 people want to be able to track their order, with 47% wanting to know exactly where their item is at all times. AI can fulfill this desire, providing real-time updates as shipments travel. nine in 10 people nine in 10 people 2. Calculate Delivery Estimate Since as many as 20% of deliveries fail on the first attempt, reschedules are common. While most people wait a few extra days, some don’t receive their items for weeks or months. With AI, they can see how long it will take for a driver to reattempt delivery. The algorithm can factor in variables like weather, consumer demand, route closures and delays. as many as 20% of deliveries as many as 20% of deliveries 3. Analyze the Drop-Off Photos An AI could leverage image recognition technology to analyze millions of drop-off photos. It can flag the delivery as incorrect or suspicious if it notices any discrepancies. If there are enough clues in the photo’s visual details or metadata, the model could help workers track down the missing parcel. 4. Answer Peoples’ Questions Globally, 46% of online shoppers expect to receive their orders within two to three days. However, delays, reschedules and cancellations are common. When these situations arise, an AI-powered chatbot can answer consumers’ questions to help them understand what happened. Depending on its design, it could discuss the item’s location or estimate delivery dates. 46% of online shoppers 46% of online shoppers How Integration Could Enhance AI’s Capabilities While AI is powerful on its own, companies could see significant improvements after integration. For example, embedding a machine learning model into a surveillance system or camera doorbell could help recipients identify porch pirates or misbehaving delivery drivers. This way, they could potentially narrow down the location of their missing item. An AI-powered computer vision system — an AI-powered device that can interpret visual information — could do something similar, monitoring production lines and automatic sorting machines for misplaced parcels. If something falls off of a belt, gets stuck under another container or slips between a crack in the machine, it could alert a human worker. Integrations can even help in transit. Combining AI and IoT sensors enables real-time updates on a product’s condition and location. Recipients could receive alerts if their item is tampered with, dropped off at the wrong location or stolen. The algorithm would filter out false positives and concisely explain what happened. Could AI Prevent Packages From Getting Lost? While finding missing parcels is an excellent use of a machine learning model, stopping this problem at the source is a more effective solution. Companies could prevent products from getting lost in the first place by leveraging chatbots for communication. The higher the success rate for the first delivery attempt, the less likely the item will disappear from the system. Decision-makers could also optimize routes to reduce workers’ stress. Demand has far outpaced the workforce’s capabilities — experts predict e-commerce sales will reach over $8 trillion in sales by 2027, a 237% increase in one decade — which puts pressure on drivers to haul more boxes and complete routes faster. reach over $8 trillion in sales reach over $8 trillion in sales Companies increasingly hire freelance and gig workers to compensate for their labor shortage. These workers are often paid by the number of packages they deliver, incentivizing them to race through their routes. Using AI to optimize their trip saves them time, lowering the chance they will make mistakes in transit. The Bottom Line of Using AI to Track Orders Although AI is not a miracle technology, it is one of the best solutions on the market for this problem. Processing centers and delivery drivers need something that can process information rapidly, output responses in natural language and interact with multiple people simultaneously.

AI Can Help Track Your Missing Packages

Emotion As A Service: AI’s Next Market Is Your Heart

العاطفة كخدمة: السوق القادمة للذكاء الاصطناعي هي قلبك

Емоцията като услуга: Следващият пазар на AI е вашето сърце

পরিষেবা হিসাবে আবেগ: AI এর পরবর্তী বাজার আপনার হৃদয়

La emoción como servicio: el próximo mercado de la IA es tu corazón

Emosyon kòm yon sèvis: pwochen mache AI a se kè ou

感情をサービスとして: AIの次の市場はあなたの心

អារម្មណ៍ជាសេវាកម្ម៖ ទីផ្សារបន្ទាប់របស់ AI គឺជាបេះដូងរបស់អ្នក។

Кызмат катары эмоция: AIнын кийинки рыногу - бул сиздин жүрөгүңүз

Emocje jako usługa: następnym rynkiem dla sztucznej inteligencji jest Twoje serce

Emotion seSevhisi: AI Inotevera Musika Mwoyo Wako

ስምዒት ከም ኣገልግሎት፡ ቀጻሊ ዕዳጋ AI ልብኻ’ዩ።

Cảm xúc như một dịch vụ: Thị trường tiếp theo của AI là trái tim của bạn

Hey Hackers, Exohood Labs has been nominated in HackerNoon's annual Startups of The Year awards in Sutton, England. Please vote for us here: https://hackernoon.com/startups/europe/europe-sutton-england-uk?stup=66f319e86ea4677e23daa12e&embedable=true Read more about us below to understand why we deserve your vote. Meet Exohood Labs Our work centers on research in Artificial Intelligence, Quantum Computing, and Blockchain. We team up with foundations, educational centers, and research institutions to explore new ideas in these fields. We're curious about how these technologies can help solve real-world problems and advance our understanding. By collaborating with others in the field, we hope to expand what's possible and contribute to new discoveries. Our main interest is in finding ways to use technology to improve education and research. How Exohood Labs achieved product-market fit Our research approach has evolved organically as we've worked with various institutions. We focus on exploring how AI, quantum computing, and blockchain can address current challenges in the field. Through collaborative projects, we combine our expertise with that of our research partners to investigate potential improvements to existing technologies. Our work involves analyzing current limitations and exploring practical applications. As we progress, we continually adjust our focus based on emerging trends and feedback from the academic community, ensuring our research remains relevant and contributes meaningfully to advancing knowledge in these areas. The evolution of Exohood Labs The evolution of Exohood Labs has been quite a journey. We started in 2020, right when the COVID-19 pandemic was changing everything. We realized there was a need for more robust and transparent scientific research. At first, we focused on using blockchain to make research more transparent and AI to keep things running smoothly. Over time, we've broadened our focus to include other important technologies. Now, we're involved in all sorts of collaborative research, trying to push science forward and come up with solutions for big global problems. We're in this for the long haul our project is planned for 10 years, covering all the research we're doing. It's been challenging, but we're always adapting as new issues come up and technology advances. Our main goal is to make sure our scientific discoveries can actually help solve real-world problems. Milestones and achievements We've hit some important milestones along the way, though it hasn't always been smooth sailing. Early on, we successfully set up our decentralized research platform, which was a big step for us. One of our proudest achievements has been developing a new method for secure data sharing in collaborative research. It's been adopted by a few of our partners, which is really encouraging. We've also published several well received papers on AI applications in scientific research. Of course, we've had our share of setbacks too. Some projects didn't pan out as we hoped, and we've had to adjust our approach more than once. But each challenge has taught us something valuable. Lessons learned The biggest lesson we've learned is that the work itself matters far more than publicity or fame. Initially, we got caught up in trying to promote our achievements, but we quickly realized this was distracting us from our core mission. Now, we focus entirely on the quality and relevance of our research. We've come to value the quiet, persistent work that happens behind the scenes it's not always glamorous, and breakthroughs can take years, but that's where real progress happens. We've learned that solid, reproducible results gain respect in the scientific community far more than flashy announcements. By prioritizing collaboration over competition and channeling our energy into the work itself, we've found we can make more meaningful contributions to the field and have a greater impact on advancing scientific understanding and solving real world problems. What Startups of The Year means to us Being recognized as a Startup of The Year has a unique meaning for a non profit like us. It's not about market value or attracting investors, instead, it validates our mission and approach in the scientific community. This recognition suggests that our focus on collaborative, transparent research is making an impact and that the scientific world is embracing new models of conducting and sharing research. While encouraging, we see this award as a reminder of our responsibility to continue our work with integrity and purpose. It motivates us to push harder in our research efforts and stay true to our values of openness and collaboration. Ultimately, our real measure of success isn't in awards, but in the tangible outcomes of our research and how it contributes to solving real-world problems and advancing scientific knowledge. Conclusion We're truly honored by this nomination; it means a lot to us. The COVID-19 pandemic really changed everything, showing us how crucial transparent and collaborative research is in tackling global challenges. That's why what we're doing is so important for the future. We're working to make scientific research more open and accessible, which could help us respond faster and more effectively to whatever challenges come next. Big thanks to HackerNoon and sponsors for recognizing the importance of this work. This nomination isn't just about us, it's about highlighting the need for new approaches in science and technology. We're excited to keep pushing forward, doing our part to create a future where knowledge is shared more freely and research can make a real difference in people's lives. Thanks for seeing the potential in what we're trying to achieve! Vote for us today! Hey Hackers, Exohood Labs has been nominated in HackerNoon's annual Startups of The Year awards in Sutton, England. Please vote for us here: Please vote for us here: https://hackernoon.com/startups/europe/europe-sutton-england-uk?stup=66f319e86ea4677e23daa12e&embedable=true https://hackernoon.com/startups/europe/europe-sutton-england-uk?stup=66f319e86ea4677e23daa12e&embedable=true Read more about us below to understand why we deserve your vote. Meet Exohood Labs Our work centers on research in Artificial Intelligence, Quantum Computing, and Blockchain. We team up with foundations, educational centers, and research institutions to explore new ideas in these fields. We're curious about how these technologies can help solve real-world problems and advance our understanding. By collaborating with others in the field, we hope to expand what's possible and contribute to new discoveries. Our main interest is in finding ways to use technology to improve education and research. How Exohood Labs achieved product-market fit Our research approach has evolved organically as we've worked with various institutions. We focus on exploring how AI, quantum computing, and blockchain can address current challenges in the field. Through collaborative projects, we combine our expertise with that of our research partners to investigate potential improvements to existing technologies. Our work involves analyzing current limitations and exploring practical applications. As we progress, we continually adjust our focus based on emerging trends and feedback from the academic community, ensuring our research remains relevant and contributes meaningfully to advancing knowledge in these areas. The evolution of Exohood Labs The evolution of Exohood Labs has been quite a journey. We started in 2020, right when the COVID-19 pandemic was changing everything. We realized there was a need for more robust and transparent scientific research. At first, we focused on using blockchain to make research more transparent and AI to keep things running smoothly. Over time, we've broadened our focus to include other important technologies. Now, we're involved in all sorts of collaborative research, trying to push science forward and come up with solutions for big global problems. We're in this for the long haul our project is planned for 10 years, covering all the research we're doing. It's been challenging, but we're always adapting as new issues come up and technology advances. Our main goal is to make sure our scientific discoveries can actually help solve real-world problems. Milestones and achievements We've hit some important milestones along the way, though it hasn't always been smooth sailing. Early on, we successfully set up our decentralized research platform, which was a big step for us. One of our proudest achievements has been developing a new method for secure data sharing in collaborative research. It's been adopted by a few of our partners, which is really encouraging. We've also published several well received papers on AI applications in scientific research. Of course, we've had our share of setbacks too. Some projects didn't pan out as we hoped, and we've had to adjust our approach more than once. But each challenge has taught us something valuable. Lessons learned The biggest lesson we've learned is that the work itself matters far more than publicity or fame. Initially, we got caught up in trying to promote our achievements, but we quickly realized this was distracting us from our core mission. Now, we focus entirely on the quality and relevance of our research. We've come to value the quiet, persistent work that happens behind the scenes it's not always glamorous, and breakthroughs can take years, but that's where real progress happens. We've learned that solid, reproducible results gain respect in the scientific community far more than flashy announcements. By prioritizing collaboration over competition and channeling our energy into the work itself, we've found we can make more meaningful contributions to the field and have a greater impact on advancing scientific understanding and solving real world problems. What Startups of The Year means to us Being recognized as a Startup of The Year has a unique meaning for a non profit like us. It's not about market value or attracting investors, instead, it validates our mission and approach in the scientific community. This recognition suggests that our focus on collaborative, transparent research is making an impact and that the scientific world is embracing new models of conducting and sharing research. While encouraging, we see this award as a reminder of our responsibility to continue our work with integrity and purpose. It motivates us to push harder in our research efforts and stay true to our values of openness and collaboration. Ultimately, our real measure of success isn't in awards, but in the tangible outcomes of our research and how it contributes to solving real-world problems and advancing scientific knowledge. Conclusion We're truly honored by this nomination; it means a lot to us. The COVID-19 pandemic really changed everything, showing us how crucial transparent and collaborative research is in tackling global challenges. That's why what we're doing is so important for the future. We're working to make scientific research more open and accessible, which could help us respond faster and more effectively to whatever challenges come next. Big thanks to HackerNoon and sponsors for recognizing the importance of this work. This nomination isn't just about us, it's about highlighting the need for new approaches in science and technology. We're excited to keep pushing forward, doing our part to create a future where knowledge is shared more freely and research can make a real difference in people's lives. Thanks for seeing the potential in what we're trying to achieve! Vote for us today! Vote for us today ! Vote for us today

Meet Exohood Labs, Startups of the Year 2024 Nominee

The tech industry is no stranger to supply chain disruptions, but the recent U.S. port strike is creating new challenges that could have lasting effects. On the first day of October, thousands of dockworkers left key ports at a standstill along the East and Gulf Coasts. As a result, the flow of critical tech components and finished goods has slowed dramatically. This disruption comes at a critical time, especially when the tech industry is still recovering from supply chain issues caused by the COVID-19 pandemic. The Tech Industry’s Supply Chain Dependence on Ports The tech industry greatly relies on ports, especially those along the East and Gulf Coasts of the U.S. Ports serve as entry points for many components and raw materials needed to manufacture and assemble electronic devices. These parts often involve semiconductors, screens, batteries, and more. A single delayed shipment of any of these components can ripple through the supply chain, affecting production timelines, product availability, and pricing across the market. To put it into perspective, U.S. ports handle the majority of global trade. According to the National Association of Manufacturers, the affected ports manage 51% of the nation’s containerized imports. These containers often carry crucial tech parts from places like Asia and Europe, which then become distributed to manufacturing hubs within the U.S. As such, any disruption in the flow of these goods results in delayed product releases. The tech industry has long depended on a finely-tuned global supply chain that operates on just-in-time principles. This method is where components are precisely delivered when needed to minimize warehousing costs and maximize efficiency. However, this approach leaves little room for error. When a disruption like the U.S. port strike occurs, there isn’t a buffer to absorb the delay. As a result, you get stalled production lines, which delay product releases and cause a shortage of tech products. How Tech Companies Are Adapting Their Logistics Strategies The U.S. port strike has far-reaching consequences on the economy. As cargo remains stuck at the ports, companies face increasing shipping costs, production slowdowns, and an inability to meet consumer demand. To mitigate these economic effects, businesses are swiftly adapting their logistics strategies. Enhanced Visibility and Use of Technology in Logistics A lack of supply chain visibility is one major challenge within the U.S. port strike. According to recent findings, around 45% of stakeholders report having limited visibility beyond their first-tier suppliers. Unfortunately, this makes responding quickly to disruptions or anticipating potential issues difficult. To combat this, companies are adopting tech-driven logistics solutions that provide greater transparency in the supply chain. For instance, digital platforms now offer real-time tracking of every part of the supply chain process, providing stakeholders with better visibility of where goods are in transit. With machine learning improving route optimization, these technologies allow more efficient delivery routes and rapid responses to unforeseen events. Rerouting Shipments and Shifting Transportation Methods Many companies have resorted to rerouting cargo to ports on the West Coast or Canada to bypass the backlogs on the East and Gulf Coasts. However, these options come with unique challenges. West Coast ports are already operating at high capacity — with some facilities reaching 71% — leaving little room to accommodate the redirected shipments. Additionally, rerouting involves longer travel times and higher costs due to the need to manage new logistics routes. Air freight is becoming an increasingly attractive option for transporting time-sensitive tech products. However, these expensive methods often lead to higher costs for end products. Despite the increased expenses, air transport offers faster shipping times. Manufacturing facilities can ensure they receive their goods on time, but this method only works for smaller, high-value items that can absorb additional shipping costs. Shifting Toward Localization and Supply Chain Diversification Companies are also shifting toward localization as a strategic response to the strike. By sourcing materials closer to their consumer markets, they reduce the dependency on overseas shipments and minimize the risk associated with port congestion. The strategy of nearshoring — moving supply chains closer to home — offers faster transportation times and more stable supply chain operations. This method also makes it easier to respond to disruptions without heavily relying on international ports or long-haul transportation. Navigating the Shifts in the Supply Chain The U.S. port strike is a reminder of how quickly global supply chains can go into disarray and create lasting effects on the tech industry. Therefore, it is more important than ever for organizations to adapt their logistics. The strike presents immediate challenges, so companies must prepare for events like these and devise long-term strategies that help them increase their resiliency. The tech industry is no stranger to supply chain disruptions, but the recent U.S. port strike is creating new challenges that could have lasting effects. On the first day of October, thousands of dockworkers left key ports at a standstill along the East and Gulf Coasts. As a result, the flow of critical tech components and finished goods has slowed dramatically. This disruption comes at a critical time, especially when the tech industry is still recovering from supply chain issues caused by the COVID-19 pandemic. The Tech Industry’s Supply Chain Dependence on Ports The tech industry greatly relies on ports, especially those along the East and Gulf Coasts of the U.S. Ports serve as entry points for many components and raw materials needed to manufacture and assemble electronic devices. These parts often involve semiconductors, screens, batteries, and more. A single delayed shipment of any of these components can ripple through the supply chain, affecting production timelines, product availability, and pricing across the market. To put it into perspective, U.S. ports handle the majority of global trade. According to the National Association of Manufacturers, the affected ports manage 51% of the nation’s containerized imports. These containers often carry crucial tech parts from places like Asia and Europe, which then become distributed to manufacturing hubs within the U.S. As such, any disruption in the flow of these goods results in delayed product releases. the affected ports manage 51% the affected ports manage 51% The tech industry has long depended on a finely-tuned global supply chain that operates on just-in-time principles. This method is where components are precisely delivered when needed to minimize warehousing costs and maximize efficiency. However, this approach leaves little room for error. When a disruption like the U.S. port strike occurs, there isn’t a buffer to absorb the delay. As a result, you get stalled production lines, which delay product releases and cause a shortage of tech products. How Tech Companies Are Adapting Their Logistics Strategies The U.S. port strike has far-reaching consequences on the economy. As cargo remains stuck at the ports, companies face increasing shipping costs, production slowdowns, and an inability to meet consumer demand. To mitigate these economic effects, businesses are swiftly adapting their logistics strategies. Enhanced Visibility and Use of Technology in Logistics A lack of supply chain visibility is one major challenge within the U.S. port strike. According to recent findings, around 45% of stakeholders report having limited visibility beyond their first-tier suppliers. Unfortunately, this makes responding quickly to disruptions or anticipating potential issues difficult. To combat this, companies are adopting tech-driven logistics solutions that provide greater transparency in the supply chain. around 45% of stakeholders around 45% of stakeholders For instance, digital platforms now offer real-time tracking of every part of the supply chain process, providing stakeholders with better visibility of where goods are in transit. With machine learning improving route optimization, these technologies allow more efficient delivery routes and rapid responses to unforeseen events. now offer real-time tracking now offer real-time tracking Rerouting Shipments and Shifting Transportation Methods Many companies have resorted to rerouting cargo to ports on the West Coast or Canada to bypass the backlogs on the East and Gulf Coasts. However, these options come with unique challenges. West Coast ports are already operating at high capacity — with some facilities reaching 71% — leaving little room to accommodate the redirected shipments. Additionally, rerouting involves longer travel times and higher costs due to the need to manage new logistics routes. with some facilities reaching 71% with some facilities reaching 71% Air freight is becoming an increasingly attractive option for transporting time-sensitive tech products. However, these expensive methods often lead to higher costs for end products. Despite the increased expenses, air transport offers faster shipping times. Manufacturing facilities can ensure they receive their goods on time, but this method only works for smaller, high-value items that can absorb additional shipping costs. Shifting Toward Localization and Supply Chain Diversification Companies are also shifting toward localization as a strategic response to the strike. By sourcing materials closer to their consumer markets, they reduce the dependency on overseas shipments and minimize the risk associated with port congestion. The strategy of nearshoring — moving supply chains closer to home — offers faster transportation times and more stable supply chain operations. This method also makes it easier to respond to disruptions without heavily relying on international ports or long-haul transportation. Navigating the Shifts in the Supply Chain The U.S. port strike is a reminder of how quickly global supply chains can go into disarray and create lasting effects on the tech industry. Therefore, it is more important than ever for organizations to adapt their logistics. The strike presents immediate challenges, so companies must prepare for events like these and devise long-term strategies that help them increase their resiliency.

How Will the US Port Strike Affect the Global Tech Industry?

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