The retail business is getting back on track and has been witnessing steady growth after the dismal impact of the third wave. There has been buoyancy in the market with the removal of lockdown restrictions. After a long time of distress and uncertainty, things are getting back to normalcy as businesses have started taking pertinent steps to resume operations and focus on sales, marketing, and inventory management. The realization of digital transformation coupled with the indispensable role of artificial intelligence (AI) has been one of the major outcomes of Covid-19 implications on the retail sector and the vast possibilities and opportunities it can create with such transformations. With the emergence of e-commerce, buyers experienced the first crucial shift that successfully made it possible for them to buy things from anywhere at any time.

Deep North, the intelligent video analytics company, announced the launch of Checkout IQ, its new retail loss prevention solution, which uses computer vision and AI to reduce shrinkage at checkout. The release reflects Deep North's ongoing commitment to empower retailers with data-driven tools to keep their businesses competitive, maximize revenue, and offer great customer experiences. With shrinkage at an all-time high and an increase in organized retail crime, Deep North is providing a new way for retailers to prevent fraud loss and improve their bottom line. Raises $10.5 Million Series A to Help CX Teams Turn Conversations Into Insights and Automation Designed to help retailers reduce retail fraud activities, Checkout IQ works with retailers' existing camera systems. By analyzing camera views, the application identifies items that are being scanned by the customer or the cashier, and this count is cross-referenced with the POS item count to detect any discrepancies.

Investment in fashion-related technology increased by 66% during the pandemic, according to research by The Business of Fashion and McKinsey. The report found that the value of the top 50 investments in fashion-related technology across the past year, either by fashion retailers or businesses that sell products and services to fashion-related companies, has increased by 66% to $16.2bn since 2019, indicating an increase of capital put into technology in the fashion sector. According to The Business of Fashion and McKinsey, around 55% of these investments went towards ecommerce technology, while the rest was mostly put into payments technology, buy-now-pay-later tech and social commerce. Investment in resale technology, supply chain and logistics management, non-fungible tokens, and virtual reality companies closely followed. Imran Amed, founder and CEO of The Business of Fashion, said: "The pandemic cemented technology's critical role in the fashion industry, particularly in terms of ecommerce adoption. But now the industry must lean even further into new technologies by experimenting in the metaverse, embedding fully digitised workflows across their organisations and investing in traceability tools to help them reach sustainability targets. Those who choose to wait on the sidelines risk being left behind."

Subtitle creation on video content poses challenges no matter how big or small the organization. To address those challenges, Amazon Transcribe has a helpful feature that enables subtitle creation directly within the service. There is no machine learning (ML) or code writing required to get started. This post walks you through setting up a no-code workflow for creating video subtitles using Amazon Transcribe within your Amazon Web Services account. The terms subtitles and closed captions are commonly used interchangeably, and both refer to spoken text displayed on the screen.

Last week, a group of Apple employees wrote an open letter criticizing the company's hybrid work-from-home policy, which requires employees to be at the office three days a week starting May 23rd. Now, Apple has lost director of machine learning Ian Goodfellow over the policy, according to a tweet from The Verge's Zoë Schiffer. Goodfellow may have been the company's most cited machine learning expert, according to Schiffer. "I believe strongly that more flexibility would have been the best policy for my team," he wrote in a note to staff. A group of Apple staffers called "Apple Together" opposed to the RTO (return-to-office) strategy cited multiple arguments against it.

While businesses and employees were left scrambling for public handouts, the online gambling market continued to grow and thrive. A report released in May 2021 showed that the global online gambling market could increase from $64.13 billion to $72.02 billion between 2020-21. That represented a compound annual growth rate (CAGR) of 12.3%. The report also suggested that the worldwide online gambling market might be worth $112.09 billion by 2025 with a CAGR of 12%. There's hardly any other industry that comes even close to that kind of healthy economic foresight.

Educated at St Pauls School, London and Cambridge University, José Luis Bermúdez is Professor of Philosophy at Texas A&M University, where he has also served as Dean of Liberal Arts and Associate Provost for Strategic Planning. Since his first book, The Paradox of Self-Consciousness (MIT Press 1998) he has been working on interdiscipinary aspects of self-representation and self-consciousness, most recently in Understanding "I": Language and Thought (OUP, 2017) and The Bodily Self: Selected Essays (MIT Press, 2018). He also works on rationality and reasoning, where he has published Decision Theory and Rationality (OUP, 2009). He is currently writing a book of framing and rationality, and also preparing the third edition of his textbook Cognitive Science: An Introduction to the Science of the Mind, both for Cambridge University Press. His work has appeared in seven languages and he is one of the 100 most cited philosophers on Google scholar.

AWS customers are relying on Infrastructure as Code (IaC) to design, develop, and manage their cloud infrastructure. IaC ensures that customer infrastructure and services are consistent, scalable, and reproducible, while being able to follow best practices in the area of development operations (DevOps). One possible approach to manage AWS infrastructure and services with IaC is Terraform, which allows developers to organize their infrastructure in reusable code modules. This aspect is increasingly gaining importance in the area of machine learning (ML). Developing and managing ML pipelines, including training and inference with Terraform as IaC, lets you easily scale for multiple ML use cases or Regions without having to develop the infrastructure from scratch.

In 2021, fashion companies invested between 1.6 and 1.8 percent of their revenues in technology. By 2030, that figure is expected to rise to between 3.0 and 3.5 percent. Behind the predicted increase is a conviction among many that technology could create a competitive edge--in customer-facing activities, where companies have mostly focused to date, and, more increasingly, in operations. Technologies such as robotics, advanced analytics, and in-store applications may help streamline processes and support sustainability, as well as create an exceptional customer experience (exhibit). This report is a collaborative effort by Imran Amed, Anita Balchandani, Achim Berg, Holger Harreis, Manuel Hurtado, Saga af Petersens, Roger Roberts, and Carlos Sanchez Altable, representing views from the Apparel, Fashion & Luxury Practice.

A visit to DMart or Reliance Retail in India on any given day would make one think about Black Friday sales. The limited manpower in stores often falls short to tend to the swarm of shoppers in Indian retail stores. To solve the issue, Scribble Data strives to provide automated and customised solutions for retail businesses to tend to the demand and needs of every customer that walks in through their door. The startup offers retail chains real-time inventory management, identifies customer shopping trends, and provides personalised recommendations. Scribble Data helps businesses build machine learning (ML) applications for making their daily operations hassle free and for creating more market-worthy ML features.