British department store Selfridges has recruited an 8 foot-tall'upcycling' robot that can 3D-print recycled plastic into personalised designer objects. At Selfridges' store at Oxford Street in central London, the robot will be printing items made of plastic taken from the world's seas. It's creating a variety of designer objects from the plastic, including vases, chairs, stools and lampshades, which can be selected and bought by customers. The items have been designed by Nagami, a Spanish firm specialising in high-end furniture and homeware. The Selfridges' robot is 3D-printing the items through the rest of April, which cost anything from £155 to £830.

By 2023, digital sales are projected to reach 22% of all retail sales worldwide. Considering the vast growth and adoption of online mediums for shopping, more and more retailers are using Salesforce Commerce Cloud to run their online stores. Salesforce Commerce Cloud allows you to scale your business to take it to the next level. You get to expand your business' geographical boundaries, growth and present your brand on the global market with Commerce Cloud. And today, we will tell you how to do all this and much more in this article.

Ganesan takes the mystery out of implementing AI, showing leaders how to launch AI initiatives that get results. In The Business Case for AI, Kavita Ganesan takes the mystery out of implementing AI, showing leaders how to launch AI initiatives that get results. With real-world AI examples to spark new ideas, you'll learn how to identify high-impact AI opportunities, prepare for AI transitions, and measure your AI performance. Simple and compelling, The Business Case for AI gives leaders the information they need without the technical jargon. Whether you want to jumpstart your AI strategy, manage AI initiatives for better outcomes, or simply find inspiration for your own AI applications, The Business Case for AI is a blueprint for Business AI success.

Artificial intelligence has been long making waves globally, empowering companies from across the broad spectrum of industries to take their businesses to the next level. So it is no surprise that this technology is making inroads in the grocery retail space, helping grocers deliver personalized and irreproachable experiences across different channels, establishing improved customer loyalty, etc. Retailers are looking to offer and build a better grocery experience for their customers to enable a seamless experience across channels by providing personalized promotions, recommendations & offerings to increase customer loyalty. There are many data-led opportunities with the abundance of customer data and product information available for grocers by applying machine learning and AI in every business area. Using machine learning capabilities and analytics, the grocers are leaning toward adopting the technology to strengthen their relationship with customers while addressing some of the biggest challenges face. Let us take a closer look at some of the other ways in which AI is helping the grocery retail market.

If you've been perusing online shops for a robot vacuum, today you're in luck. Amazon is selling the Roborock S5 Max for $380, which is down from a usual price around $550 and a savings of $170. It's not clear how long this sale will last. The vacuum is technically being sold by Roborock itself, but Amazon takes care of shipping, meaning it's covered by the retailer's return policy. We reviewed the Roborock S5 Max a little over two years ago and gave it 4.5 out of 5 stars and an Editors' Choice Award.

This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems.

The last time I had a clear sense of the date it was still February. Time flies, the world warms, and the deals keep coming. This is a great time of year to stock up on outdoor gear and get your spring cleaning done. We found discounts on plenty of tech to help you out with both, plus some fun savings for those of you still whiling away the hours at home. Special offer for Gear readers: Get a 1-year subscription to WIRED for $5 ($25 off).

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.

Real-time AI/ML use cases such as fraud prevention and recommendations are on the rise, and feature stores play a key role in deploying them successfully to production. According to popular open source feature store Feast, one of the most common questions users ask in their community Slack is: how scalable / performant is Feast? This is because the most important characteristic of a feature store for real-time AI/ML is the feature serving speed from the online store to the ML model for online predictions or scoring. Successful feature stores can meet stringent latency requirements (measured in milliseconds), consistently (think p99) and at scale (up to 100Ks of queries per second and even million of queries per second, and with gigabytes to terabytes sized datasets) while at the same time maintaining a low total cost of ownership and high accuracy. As we will see in this post, the choice of online feature store as well as the architecture of the feature store play important roles in determining how performant and cost effective it is.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. Seventy percent of U.S. consumers want to use AI in their jobs, according to a new Gartner, Inc. survey. In nine categories of work tasks, more workers wanted AI to help than wanted AI to do everything or do nothing. The majority would like AI to help with tasks such as mistake reduction (58%), problem-solving (57%), information discovery and process simplification (both 56%). More than half (57%) of U.S. workers wanted AI to do two or more of those tasks.