What can Google’s attempt at predictions during March Madness teach us about the business application of Machine Learning? Quite a lot.
Enterprise hits and misses – AI projects bring lessons while Toys R Us and Theranos bring cautionary tales
This week: Prudential shares AI project tips while Flippy the short-lived robotic burger chef gets a post-mortem. Analytical lemonade a-plenty via Toys R Us, Theranos, and Uber. Plus: whiffs a plenty.
A rather mundane application on first glance, but CLOE could save users and CSPs a lot of time and money.
With a new CTO and big plans for more tech investment, Williams-Sonoma remains ahead on retail digital transformation.
Michael Natusch explains financial services firm Prudential’s strategy around artificial intelligence (AI) – focusing on causation and correlation.
This week – an epic series on women in tech brings new lessons. Plus: RPA investment gets real, while ROI questions linger. Your whiffs include robot goofs. And: I throw United Airlines under the bus for good.
CRM chief Mike Rosenbaum tells us how Salesforce Essentials puts SMBs right at the heart of the cloud giant’s sales and customer service products
Accenture sees a bold new age of “citizen AI” ahead. But there’s a warning attached: we better get testing right. Here’s what Accenture told me about their efforts to root out data and algorithmic bias.
Artificial intelligence brings automation and insight, but the CFO’s role as strategist, operator, catalyst and steward cannot be done by machines writes Unit4’s Matthias Thurner
The EU will look to build a framework, based on expert input, on the thorny ethical and legal issues surrounding artificial intelligence (AI).
“Don’t do an ML science experiment” – Mike Salvino on machine learning misconceptions, and what to do about them
Machine learning misconceptions can sink an AI project. That was Mike Salvino’s message to the service industry pros at HfS FORA New York City. Here’s his ML pitfalls – and how to avoid them.