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How AI is a Boon For Retail Business in India

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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.


Artificial Intelligence for Business

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Artificial intelligence has a wide range of uses in businesses, including streamlining job processes and aggregating business data. We will show you exactly how to succeed these applications, through Real World Business case studies. And for each of these applications we will build a separate AI to solve the challenge. In Part 1 - Optimizing Processes, we will build an AI that will optimize the flows in an E-Commerce warehouse. In Part 2 - Minimizing Costs, we will build a more advanced AI that will minimize the costs in energy consumption of a data center by more than 50%!


Deep North Launches Checkout IQ, a Solution for Retailers to Prevent Asset Loss

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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.


Fashion tech investment grew 66% during pandemic

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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."


Create video subtitles with Amazon Transcribe using this no-code workflow

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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.


How a grocery startup in Georgia is using AI and edge computing for "frictionless" shopping

ZDNet

Stephanie Condon is a senior staff writer for Red Ventures based in Portland, Oregon, covering business technology for ZDNet. Retail -- and grocery in particular -- is a tough business. Grocers operate on razor-thin margins, and they're up against commercial giants like Amazon and Walmart. Increasingly, major grocery chains are turning to AI, edge computing and other innovative technologies to help them bring down costs. But along with Giant Eagle, Whole Foods and other big names in the industry, one small startup in the Atlanta area is betting that a tech-first approach to grocery shopping will help them expand their business across the US.


Apple loses director of machine learning over its office return policy

Engadget

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.


Cognitive Science: Bermúdez, José Luis: 9781108440349: Books: Amazon.com

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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.


Deploy and manage machine learning pipelines with Terraform using Amazon SageMaker

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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.


Financial-Technology Firms Tap AI to Reach More Borrowers

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OppFi Inc., a 10-year-old fintech platform based in Chicago, targets U.S. households with an average of $50,000 in annual income that need extra cash for car repairs, medical bills, student loans and other expenses. Todd Schwartz, the company's chief executive, said its customers are employed and have bank accounts but are otherwise "locked out of mainstream financial services." The Morning Download delivers daily insights and news on business technology from the CIO Journal team. OppFi, which made its public-market debut last summer, uses an AI model, real-time data analytics and a proprietary scoring algorithm to automate the underwriting process. It generates a credit score by analyzing a loan applicant's online shopping habits, income and employment information, among other data sources.