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Walmart buys Israeli product review insight firm Aspectiva - Reuters

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TEL AVIV (Reuters) - Walmart said on Tuesday it has acquired Aspectiva, an Israeli start-up whose technology analyses consumers' product reviews to help shoppers make decisions. Financial details were not disclosed. Aspectiva will join Walmart's Store No 8, the incubation arm launched by the U.S. retailer in 2017 to find new commerce-related technologies. Aspectiva has developed machine-learning techniques and natural language processing capabilities, "areas we believe will have profound impact on how customers will shop in the future," Store No 8 principal Lori Flees said. Walmart also has a strategic investment in Team8, an Israeli cybersecurity start-up incubator, and launched a joint venture with Eko, an interactive media and technology company with offices in Tel Aviv and New York.


Auto-segmenting objects when performing semantic segmentation labeling with Amazon SageMaker Ground Truth Amazon Web Services

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Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning (ML) quickly. Ground Truth offers easy access to third-party and your own human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, Ground Truth can lower your labeling costs by up to 70% using automatic labeling, which works by training Ground Truth from data humans have labeled so that the service learns to label data independently. Semantic segmentation is a computer vision ML technique that involves assigning class labels to individual pixels in an image. For example, in video frames captured by a moving vehicle, class labels can include vehicles, pedestrians, roads, traffic signals, buildings, or backgrounds.


Machine Learning in Retail: How to Maximize the Potential of ML Aliz

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For decades retail companies have been exploiting analytics within the different segments of their businesses, including marketing and operations. Such analytics are dusty, however, and have now come to an end. Traditional analytical methods are outdated; they require a lot of manual steps and the insights extracted cannot be easily generalized. Using analytics ultimately provides a low return if you include the amount of manpower needed allocating to run them. Machine learning (ML) can be viewed as an extension of analytics.


SoftBank leads $30 million investment in Accel Robotics for AI-enabled cashierless stores

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Accel Robotics, one of a growing number of AI startups that's setting out to enable automated cashierless stores, has raised $30 million in a series A round of funding led by SoftBank, with participation from New Ground Ventures, Toyo Kanetsu Corporate Venture Investment Partnership, and RevTech Ventures. Founded out of San Diego in 2015, Accel Robotics is developing the AI and computer vision smarts needed for checkout-free stores, which are designed to make queuing a thing of the past and will generate vast swathes of consumer data. The general idea is that the shopper simply walks into a store, picks items from the shelves, and then walks out again -- with the receipt sent directly to their mobile device. Accel Robotics has largely flown under the radar compared to other companies operating in the burgeoning cashierless store sphere, but it said it is already working on deployments across North America and Japan -- including in restaurants and drugstore chains. Amazon is arguably the highest profile cashier-free store operator, and since the ecommerce giant debuted its concept Amazon Go stores back in 2016, it has expanded the outlets to 18 locations across the U.S. A number of startups have launched to bring automated supermarkets to every city by helping retailers adapt their existing stores.


How Microsoft AI empowers transformation in your industry - Microsoft Industry Blogs

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AI presents incredible opportunities for organizations to change the way they do business. With 1,000 researchers--including winners of the Turing Award and Fields Medal--in 11 labs, Microsoft has established itself as a leader in AI through its dogged focus on innovation, empowerment, and ethics. Now, the groundbreaking capabilities of AI can move beyond the lab to make a positive impact on every enterprise, every industry. Manufacturers have accrued vast stores of data through digital technologies and IoT--offering new windows into operational efficiency and business performance. Culling that data for actionable insights on predictive maintenance and performance improvements has become increasingly essential for an industry that operates on thin margins.


Data Science at Kroger / 84.51 - The Impact of Enterprise AI in Retail

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Sign in to report inappropriate content. For 84.51 - a data and marketing company owned by Kroger - the impact of data science and enterprise AI technology from DataRobot has been significant in understanding data patterns to improve the personalized shopping experience for all Kroger customers.


How Can Artificial Intelligence Help in Retail?

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New Technologies accelerate the corporate growth of the retail sector. Thanks to the improvements in Artificial Intelligence retailers manage the business more consciously and effectively. Nowadays, it's possible to know more about customer behavior and take action according to data that is collected through the customer journey. Billions of data are collected and analyzed to be able to predict the future by using Artificial Intelligence. Local conversion rate, the period of the service time, map path trajectory are some of the metrics that can be calculated owing to Artificial Intelligence.


10 Exciting Real-World Applications of Artificial Intelligence in Retail

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Our core retail experience hasn't changed much in recent years. We go into a store (or to an online portal), we browse through the available options, try them out and make the purchase. Well, that's where the disruptions are happening thanks to artificial intelligence (AI). It has completely transformed the way we handle our retail experience – both from a customer's perspective as well from a business standpoint. Artificial Intelligence creates an opportunity for retailers to bridge the gap between virtual and physical sales channels. Brands are progressively using Artificial Intelligence to reduce cost, improve efficiency, achieve operational agility and increase the speed of decision making in the retail world. According to IBM's recent study, AI-driven intelligent automation in the retail and consumer products industries is projected to leap from 40 percent of companies today to more than 80 percent in the next three years.


Walmart will test driverless grocery deliveries in Houston

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Walmart is about to experiment with autonomous grocery delivery in a big way. The big-box retailer is launching a pilot program in Houston that will use Nuro's self-driving R1 vehicle to shuttle food from "select" stores to customers who've opted into the program. The companies didn't outline how customers would enroll, but Houstonians can expect service to start in the "coming weeks." The test run will help Nuro and Walmart "develop and refine" their services, including providing the best "end-to-end" experience for shoppers. Kroger's earlier use of the vehicles takes scheduled orders through a mobile app, with store staff loading the R1 before it makes its way to a customer's home.


Artificial Intelligence (AI) market trends -- Increasing deployment of machine learning in BFSI and…

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The concept of artificial intelligence has been a fascination since long. Basically a simulation of the human intelligence embedded in machines that are devised to think and work like human brains whilst imitating the similar actions, AI has brought about a revolution worldwide. What has made the AI market gain quite some traction since the last few years is the conceptual interpretation of the subject as depicted by big-budget films and novels. These illustrations build up artificial intelligence as a robot in the minds of people which is fostering the penetration of artificial intelligence-based solutions worldwide. Emerging as a groundbreaking invention since 1956, artificial intelligence has let loose various human intelligence concerns on the side and has evolved as top choice for myriad industries, sectors and companies to execute tasks, right from simple to complex.