Retail
Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production (English Edition): Nag, Avishek: 9789389845365: Amazon.com: Books
Get familiar with practical concepts of Machine Learning from ground zero Learn how to deploy Machine Learning models in production Understand how to do "Data Science Storytelling" Explore the latest topics in the current industry about Machine Learning Understand how to do "Data Science Storytelling"
Roku's Streaming Stick 4K hits a new low of $25, plus the rest of the week's best tech deals
Black Friday doesn't officially arrive for a few more weeks, but we're already starting to see retailers run early holiday sales on several gadgets we recommend. Roku's Streaming Stick 4K, for instance, has fallen to a new low of $25, while Sony's WH-1000XM5 headphones are back down to the price we saw during Amazon's Prime Early Access Sale last month. There are offers on Amazon and Google devices beyond that, plus discounts on Roombas, MacBooks, Logitech gaming mice, and Samsung storage gear, among others. Here are the best tech deals from this week that you can still get today. This drop to $25 represents a new low for Roku's Streaming Stick 4K, which is currently the top streaming stick in our guide to the best streaming devices.
Transfer learning for TensorFlow object detection models in Amazon SageMaker
Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, image, and text. This post is the second in a series on the new built-in algorithms in SageMaker. In the first post, we showed how SageMaker provides a built-in algorithm for image classification.
Transfer learning for TensorFlow text classification models in Amazon SageMaker
Dr. Vivek Madan is an Applied Scientist with the Amazon SageMaker JumpStart team. He got his PhD from University of Illinois at Urbana-Champaign and was a Post Doctoral Researcher at Georgia Tech. He is an active researcher in machine learning and algorithm design and has published papers in EMNLP, ICLR, COLT, FOCS and SODA conferences. João Moura is an AI/ML Specialist Solutions Architect at Amazon Web Services. He is mostly focused on NLP use-cases and helping customers optimize deep learning model training and deployment. He is also an active proponent of low-code ML solutions and ML-specialized hardware. Dr. Ashish Khetan is a Senior Applied Scientist with Amazon SageMaker built-in algorithms and helps develop machine learning algorithms. He got his PhD from University of Illinois Urbana Champaign. He is an active researcher in machine learning and statistical inference and has published many papers in NeurIPS, ICML, ICLR, JMLR, ACL, and EMNLP conferences.
Grocery Industry Veterans Enter the Metaverse with Boom Interactive's 3D Design Platform
AI software development company, Boom Interactive, announced it has partnered with the Basha family, former owners of Bashas' Supermarkets, to bring its 3D design technology to the grocery and retail industries. "Boom Interactive's technology is changing the way commercial developers construct and design their spaces and how brands display their goods" After selling Bashas' to Raley's in 2021, brothers Preston, Dalton and Brandon Basha created a family office along with their other two siblings, Tortuga Trading Co., to invest in companies like Boom Interactive, to breathe new life into the grocery industry. Tortuga has committed to building out the retail version of Boom Interactive's flagship product, Bubbles, called R3D, and will be offering the software to their portfolio of retail partners. "Boom Interactive's technology is changing the way commercial developers construct and design their spaces and how brands display their goods," said Brandon Basha. "We are honored to get our hands dirty to help this revolutionary platform blossom."
Ocado Group signs deal with Lotte Shopping to expand into Korea - The Robot Report
Shin Dong-bin, the chairman of Lotte Group, and Tim Steiner, the CEO of Ocado Group, were both at the signing ceremony, which took place at Lotte World Tower in Seoul. Lotte Shopping announced that it has signed a partnership agreement with Ocado, a global retail technology company based in Britain, to enhance its online grocery solutions in Korea. The company will invest 1 trillion won ($705,060,000) by 2030 in "smart logistics" that focuses on fresh food to lead the 135 trillion won domestic online grocery market. Under the terms of the deal, Lotte Shopping will be able to use the Ocado Smart Platform (OSP) for all of its online shopping. OSP is a technology solution that covers the whole process of buying fresh food online, from attracting customers through mobile apps to delivering orders.
Researchers encourage retailers to embrace AI to better serve customers
Three QUT researchers are part of an international research team that have identified new ways for retailers to use Artificial Intelligence in concert with in-store cameras to better capture consumer behavior and tailor store layouts to maximize sales. In research published in Artificial Intelligence Review, the team propose an AI-powered store layout design framework for retailers to best take advantage of recent advances in AI techniques, and its sub-fields in computer vision and deep learning to monitor the physical shopping behaviors of their customers. Any shopper who has retrieved milk from the farthest corner of a shop knows well that an efficient store layout presents its merchandise to both attract customer attention to items they had not intended to buy, increase browsing time, and easily find related or viable alternative products grouped together. A well-thought-out layout has been shown to positively correlate with increased sales and customer satisfaction. It is one of the most effective in-store marketing tactics that can directly influence customer decisions to boost profitability.
Researchers encourage retailers to embrace AI to better service customers
In research published in Artificial Intelligence Review, the team propose an AI-powered store layout design framework for retailers to best take advantage of recent advances in AI techniques, and its sub-fields in computer vision and deep learning to monitor the physical shopping behaviours of their customers. Any shopper who has retrieved milk from the farthest corner of a shop knows well that an efficient store layout presents its merchandise to both attract customer attention to items they had not intended to buy, increase browsing time, and easily find related or viable alternative products grouped together. A well thought out layout has been shown to positively correlate with increased sales and customer satisfaction. It is one of the most effective in-store marketing tactics which can directly influence customer decisions to boost profitability. QUT researchers Dr Kien Nguyen and Professor Clinton Fookes from the School of Electrical Engineering & Robotics and Professor Brett Martin, QUT Business Schoolteamed up with researchers Dr Minh Le, from the University of Economics, Ho Chi Minh city, Vietnam, and Professor Ibrahim Cil from Sakarya University, Serdivan, Turkey, to conduct a comprehensive review on existing approaches to in store layout design.
How Artificial Intelligence Can Help Retailers? Interesting!
Artificial Intelligence has been making game-changing impacts in the business world. Nowadays, businesses, especially retailers, regardless of size, are increasingly enthusiastic to build and deploy AI solutions. In fact, retail businesses must implement AI-like trending digital solutions to remain competitive and improve customer experiences. A few weeks ago, when FuGenX decided to add more services to its AI service portfolio, it has conducted a series of deep research across industry verticals to find which industries have more pain points that can be solved by our cutting-edge AI solutions. As per the research reports, retail was expectedly at the top of the list.