The global artificial intelligence (ai) in retail market is expected to rise with an impressive CAGR and generate the highest revenue by 2026.

Object detection is a common task in computer vision (CV), and the YOLOv3 model is state-of-the-art in terms of accuracy and speed. In transfer learning, you obtain a model trained on a large but generic dataset and retrain the model on your custom dataset. One of the most time-consuming parts in transfer learning is collecting and labeling image data to generate a custom training dataset. This post explores how to do this in Amazon SageMaker Ground Truth. Ground Truth offers a comprehensive platform for annotating the most common data labeling jobs in CV: image classification, object detection, semantic segmentation, and instance segmentation.

The retail experience is certainly changing in the face of the global pandemic. A Rip Van Winkle who might have fallen asleep in January 2020 and woken up in September 2020 would find their retail experience to be a surreal experience with shoppers wearing masks, markings on the floor separating folks from one another by six feet, and plexiglass screens by registers in checkout aisles. The online shopping experience has changed in many ways as well, with some items that had previously been taken for granted such as toilet paper, inflatable pools, and other commodities now being scarce commodities. Online retail is changing in other profound ways as consumers change their buying patterns and behaviors, with the shift to work-from-home and school-at-home changing the way people live, work, and socialize. Retail establishments that had previously counted on big Fourth of July and Labor Day celebrations, back-to-school specials, large social gatherings, and practically the whole travel and hospitality industry have had to throw out their usual sales, marketing, and supply chain practices and rethink their fundamental business strategies.

The latest market research study launched by ABRReports.com on "Machine Learning in Retail Market 2020-2025 Growth Trends and Business …

Each day at Zulily we add 9,000 products to our online store and process more than 5 billion clicks from online shoppers. That is more virtual inventory than you'll find in the warehouses of many retailers, and it's by design. We've built a supply chain where we hold only some goods: most of the time, we don't purchase inventory until our customers have, so we are able to pass down savings from our unique supply chain down to our customers around the world. To the customer, that means a constantly changing and new shopping experience. Our system works only if we can ensure that both shoppers and suppliers move quickly.

A look at how Zulily is using the latest tools in artificial intelligence, machine learning, and cloud computing to innovate and serve its customers with purpose. Each day at Zulily we add 9,000 products to our online store and process more than 5 billion clicks from online shoppers. That is more virtual inventory than you'll find in the warehouses of many retailers, and it's by design. We've built a supply chain where we hold only some goods: most of the time, we don't purchase inventory until our customers have, so we are able to pass down savings from our unique supply chain down to our customers around the world. To the customer, that means a constantly changing and new shopping experience.

January's annual Outdoor Retailer Outdoor Snow Show will be hosted virtually Jan. 27-29. Rather than take place at the Colorado Convention Center in Denver, the annual event will be a fully online experience dubbed "Outdoor Retailer Winter Online." In an email, Outdoor Retailer Senior Vice President and Show Director Marisa Nicholson said "developments have made it impossible to bring the event's community together safely and successfully in Denver" due to the ongoing impact of the COVID-19 pandemic. She said these included government restrictions and limitations on large gatherings. Outdoor Retailer hosted its first digital show this summer.

Label Insight's purpose is to empower consumers with the knowledge to improve their lives through better product choices. Our purpose keeps our team focused and aligned as we drive growth for our grocery retailer and CPG customers through unparalleled transparency.

The Amazon sale buzz hasn't ended quite yet: Shop deep discounts on the Revlon One-Step Hair Dryer, robot vacuums and more post Prime Day 2020.

Customer obsession, one of the key Amazon Leadership principles that guides everything we do at Amazon, has helped Amazon Translate be recognized as an industry leading neural machine translation provider. This year, Intento ranked Amazon Translate #1 on the list of top-performing machine translation providers in its The State of Machine Translation 2020 report. We are excited to be recognized for pursuing our passion--designing the best customer experience in machine translation. Amazon Translate is a neural machine translation service that delivers fast, high-quality, and affordable language translation. Neural machine translation is a form of machine translation that uses deep learning models to deliver more accurate and more natural sounding translation than traditional statistical and rule-based translation algorithms.