Scientific research tanks like Gartner say up to 80 percent of customer interactions are managed by AI today. In 2020, Statista stated that AI handled 54 percent of customers' daily interactions with their favorite organizations or stores. More of this will help you predict customers' preferences, hook them, turn visitors into customers and make their shopping experiences more accessible. Servion Global Solutions predicted that AI would empower 95% of customer interactions by 2025 back in 2017. Since the COVID-19 pandemic happened, this figure is more certain.
Jeff Bezos went on 60 Minutes in 2013 and pledged to fill the skies with a fleet of delivery drones that could zip parcels to customers' homes in 30 minutes. Asked when this future would arrive, the Amazon.com Inc. founder said he expected drone deliveries to commence in the next five years or thereabouts. Almost a decade later, despite spending more than $2 billion and assembling a team of more than 1,000 people around the world, Amazon is a long way from launching a drone delivery service. A Bloomberg investigation based on internal documents, government reports and interviews with 13 current and former employees reveals a program beset by technical challenges, high turnover and safety concerns. A serious crash in June prompted federal regulators to question the drone's airworthiness because multiple safety features failed and the machine careened out of control, causing a brush fire.
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Digital twins began as a way to harness engineering simulation to improve product design. The Omniverse opens digital twins tools and techniques for a much broader set of use cases. At Nvidia's recent GTC conference, executives from Lowes and Kroger explained how digital twins are transforming retail, customer experience and logistics. The biggest takeaway is how digital twins make it easy to visualize complex relationships between physical things, including product placement, physical customer journeys and the paths robots might take down store aisles for inventory and floor cleaning.
Swinging back against the Bezos behemoth and searching for every advantage in an increasingly digital world, Walmart is looking to the skies. Drone delivery is coming, and Walmart is using its vast geographical footprint in a modern game of retail Risk. As the FAA increasingly embraces commercial drone operations, drone delivery in the United States is closer than ever to reality. In concert with company DroneUp, Walmart has rolled out the first of its drone "Hubs," which are co-located with Walmart stores. Walmarts have 90 percent of the U.S. population within 10 miles of their stores, and each store is optimized for that particular area's audience.
Computer vision (sometimes called machine vision) is one of the most exciting applications of artificial intelligence. Algorithms that are able to understand images – both pictures and moving video – are a key technological foundation behind many innovations, from autonomous, self-driving vehicles to smart industrial machinery and even the filters on your phone that make the pictures you upload to Instagram look more pretty. Along with language processing abilities (natural language processing, or "NLP") its fundamental to our efforts to build machines that are capable of understanding and learning about the world around them, just like we do. Generally, it involves applications powered by deep learning – neural networks trained on thousands, millions or billions of images until they become experts at classifying what they can "see." The value of the market in computer vision technology is predicted to hit $48 billion by the end of 2022 and is likely to be a source of ongoing innovation and breakthroughs throughout the year. So let's take a look at some of the key trends we'll be following involving this fascinating technology: Data-centric artificial intelligence is based on the idea that equal, if not more, focus should be put into optimizing the quality of data used to train algorithms, as is put into developing the models and algorithms themselves.
Pittsburgh, PA--March 29, 2022: Gather AI, the first truly automated inventory management system that brings near-real-time visibility to warehousing operations, has positively impacted many customers. Small-size physical stores all the way to multinational corporations like Walmart and Amazon depend on reliable and accurate inventory management software systems, as these are needed everywhere, and with even more challenging tasks at large-scale retailers, such as the warehouses from the biggest retailers in the Fortune 500. But, even with inventory management software, large organizations still rely on people on forklifts with barcode readers to perform cycle counts, from a significant amount of employees to costly machinery to properly manage large-scale inventories, such as those found in retail, third-party logistics, food distribution, and warehouses in air cargo industries. Most importantly, the visibility of what's sitting on the DC floor is delayed by 3-4 months. To solve this significant problem, Gather AI is building the world's first truly autonomous inventory management platform, freeing logistic-driven organizations from inefficient and manual tasks through intelligent and robust automation.
Surveillance cameras have an identity problem, fueled by an inherent tension between utility and privacy. As these powerful little devices have cropped up seemingly everywhere, the use of machine learning tools has automated video content analysis at a massive scale -- but with increasing mass surveillance, there are currently no legally enforceable rules to limit privacy invasions. Security cameras can do a lot -- they've become smarter and supremely more competent than their ghosts of grainy pictures past, the ofttimes "hero tool" in crime media. Now, video surveillance can help health officials measure the fraction of people wearing masks, enable transportation departments to monitor the density and flow of vehicles, bikes, and pedestrians, and provide businesses with a better understanding of shopping behaviors. But why has privacy remained a weak afterthought?
Since 1999, Amazon's disruptive bravado has made "getting Amazoned" a fear for executives in any sector the tech giant sets its sights on. Here are the industries that could be under threat next. Jeff Bezos once famously said, "Your margin is my opportunity." Today, Amazon is finding opportunities in industries that would have been unthinkable for the company to attack even a few years ago. Throughout the 2000s, Amazon's e-commerce dominance paved a path of destruction through books, music, toys, sports, and a range of other retail verticals. Big box stores like Toys "R" Us, Sports Authority, and Barnes & Noble -- some of which had thrived for more than a century -- couldn't compete with Amazon's ability to combine uncommonly fast shipping with low prices. Today, Amazon's disruptive ambitions extend far beyond retail. With its expertise in complex supply chain logistics and competitive advantage in data collection, Amazon is attacking a whole host of new industries. The tech giant has ...
This report from the Montreal AI Ethics Institute (MAIEI) covers the most salient progress in research and reporting over the second half of 2021 in the field of AI ethics. Particular emphasis is placed on an "Analysis of the AI Ecosystem", "Privacy", "Bias", "Social Media and Problematic Information", "AI Design and Governance", "Laws and Regulations", "Trends", and other areas covered in the "Outside the Boxes" section. The two AI spotlights feature application pieces on "Constructing and Deconstructing Gender with AI-Generated Art" as well as "Will an Artificial Intellichef be Cooking Your Next Meal at a Michelin Star Restaurant?". Given MAIEI's mission to democratize AI, submissions from external collaborators have featured, such as pieces on the "Challenges of AI Development in Vietnam: Funding, Talent and Ethics" and using "Representation and Imagination for Preventing AI Harms". The report is a comprehensive overview of what the key issues in the field of AI ethics were in 2021, what trends are emergent, what gaps exist, and a peek into what to expect from the field of AI ethics in 2022. It is a resource for researchers and practitioners alike in the field to set their research and development agendas to make contributions to the field of AI ethics.
A DECADE AGO Amazon started to introduce robots into its "fulfilment centres", as online retailers call their giant distribution warehouses. Instead of having people wandering up and down rows of shelves picking goods to complete orders, the machines would lift and then carry the shelves to the pickers. That saved time and money. Amazon now has more than 350,000 robots of various sorts deployed worldwide. But it is not enough to secure its future.