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Applying GANs to Image Generation Tasks

This contributed article by Maksym Tatariants, PhD, AI Engineer at MobiDev, overviews StyleGAN2 application to image generation task and is based on MobiDev’s logotype synthesis research. When it comes to powerful generative models for image synthesis, the most commonly mentioned are StyleGAN and its updated version StyleGAN2.

Walmart Innovates at the Retail Edge with AI

Through the combination of world-class software from Malong Technologies and a powerful processing platform Dell Technologies and NVIDIA, Walmart is able to deliver groundbreaking AI acceleration at the store edge.

How Yum! Brands Uses Location Data from Foursquare to Make Smarter Decisions

Join this virtual event with a compelling panel of technology leaders to discuss to discover how Yum! Brands and other organizations are leveraging location-based data to boost in-app location accuracy, increase in-store foot traffic, and expand e-commerce business.

High Value, Low Contact: Emerging Retail Technology for a COVID-Influenced World

In this special guest feature, Melanie Nuce, Senior Vice President of Corporate Development at GS1 US, discusses extracting maximum consumer information from store traffic while also making the experience safe and contactless. Digitizing store experiences is becoming paramount–consumers want to make the most of fewer shopping trips while technologies like AI, IoT, and sensors are coming to the forefront to support innovative consumer engagement strategies.

How AI is Being Applied to Retail: Deep Learning Brings Superpowers to eCommerce with Companies like Wish and RTB House Leading the Charge

In this contributed article, Garth Holsinger, founder of Enterprise Alpha, and Partner at Prota Ventures, discusses how Deep Learning technologies are bringing superpowers to e-commerce and digital advertising platforms, and how Wish, RTB House, and Macy’s are leading the charge.

87 Percent of US Retailers Race to Achieve Faster Data-Driven Insights to Support Online Sales

Exasol, the high-performance analytics database, published new research that reveals since the pandemic started, 87% of retail organizations in the U.S. have been under pressure to make data-driven decisions faster. The finding comes from an in-depth research report, “Retail: Decision making during times of uncertainty,” that quantifies how retail organizations in the U.S. are heightening data-driven decision-making cycles to meet real-time demand and prepare for surging online sales brought on by the COVID-19 pandemic.

Procurement Turns to AI to Navigate Supply Chain Upheaval

In this special guest feature, Ophelia Otto, scoutbee Industry Relations Lead, discusses AI technology can bring a business operation like procurement from the stone age to the modern age by allowing teams to rely on automation rather than placing all bets on little black books and outdated spreadsheets.

How Can Brands Can Leverage Text Analytics for Better Consumer Insights

In this contributed article, Patrícia Osorio, Co-Founder & CMO, Birdie, discusses what is Text Analytics and why you should care about it, and choosing the right text analytics tool and how to get the best out of it.

Customers Want Experiences, Not Chatbots

In this special guest feature, Richard Smullen, CEO of Pypestream, discusses how moving forward, conversational experiences, not automated text transactions, need to be the priority for brands. Companies using CI and other automation will provide the seamless experiences customers expect and create true engagement using AI.

Video Highlights: Accelerating the ML Lifecycle with an Enterprise-Grade Feature Store

Our friend Mike Del Balso, the co-founder and CEO of Tecton who created the Uber Michelangelo machine learning platform, and customer Geoff Sims, a Principal Data Scientist at Atlassian, gave the talk below at the recent Spark + AI Summit.