Of your peers have already watched this video.

56:20 Minutes

The most insightful time you'll spend today!

Case Study

How Real Companies Are Innovating with AI Today—and the Benefits They’re Seeing

What do you get when you mix Target, women’s swim wear, and AI? “Joy!” says Mike McNamara, CIO and CDO, Target.

McNamara is just one of the many stories of real businesses conquering old challenges, and new disruptive industry challenges, with artificial intelligence.

McNamara, Nick Rockwell, CTO, The New York Times, Larry Colagiovanni, VP New Product Development, eBay, and Dirk John, CIO, LATAM Airlines, demonstrate how AI solutions allow businesses to find opportunity in chaos, innovation under tough conditions, and revenue in the most unlikely of places.

AI at Target

McNamara shows how AI is being applied to solve some of the most basic, yet critical, challenges that retailers like Target–and any business with large inventories—face. (start at 4:04)

AI at The New York Times

Nick Rockwell, CTO, The New York Times, shares how AI and big data tools are being used to leverage old assets and drive business ideas from them. (start at 12:18)

AI at eBay

Larry Colagiovanni, VP New Product Development, eBay, talks about how AI is helping eBay drive conversational commerce, help buyers sift through 1.1 billion items, and personalize the shopping experience.(start at 28:07)

AI at LATAM Airlines

Dirk John, CIO, LATAM Airlines, discusses how LATAM Airlines adopted advanced analytics tools in just a few weeks to accelerate the company’s understanding of their customers’ needs.(start at 35:58)

More Relevant Stories for Your Company

Case Study

Hike: Processing Analytics Queries 20X Faster with Google Cloud Platform

After a seamless migration to Google Cloud Platform with CloudCover and Google Cloud Professional Services, Hike has reduced its costs by 20% and processed analytics queries 20 times faster than with its previous cloud provider. The business is also using AI and machine learning to enhance the experience provided by


Using Google BigQuery for Marketing Analytics: How the7stars Saved Time and Money Using Google Cloud and Matillion

“Businesses that integrate multiple sources of customer and marketing data significantly outperform other companies in terms of sales, profits, and margin. They also had dramatically higher total shareholder returns.” -HBR Study For most marketers, this is not news. The challenge is in bringing together multiple silos of customer data—from CRM,


Breakthrough Insights Across the Life Sciences Value Chain

New science and patient centricity require increasing reliance on data and deeper insights. Accenture’s life sciences customers have been demanding answers to this need, and want a solution with an open platform. Enter INTIENT, Accenture’s life sciences platform that is powered by Google Cloud. INTIENT generates insights throughout the life

Case Study

This Chart, from Home Depot, Dramatically Demonstrates the Power of a Cloud Data Warehouse

The Home Depot (THD) is the world’s largest home-improvement chain, growing to more than 2,200 stores and 700,000 products in four decades. Much of that success was driven through the analysis of data. This included developing sales forecasts, replenishing inventory through the supply chain network, and providing timely performance scorecards. However,