Cloud-based AI: The game-changer not to fret about

The White House is hosting a conference on the future of artificial intelligence. Executives from 38 companies, including Intel, Oracle, Ford, Boeing, Mastercard, Microsoft, and Accenture, will attend the daylong summit. Why is it happening now? AI is poised to create 2.3 million jobs by 2020, while eliminating another 1.8 million jobs, according to Gartner.… Continue reading Cloud-based AI: The game-changer not to fret about

Making Kubernetes work for the average engineer—via PaaS

Too consumed with your OpenStack deployment to put a Kubernetes cluster on the blockchain? Not to worry: Most people are still trying to figure out Kubernetes. Despite being the hottest thing since, well, Docker, Kubernetes remains a dark art for most mainstream enterprises. Birthed by the engineering gods at Google, Kubernetes still has a lot… Continue reading Making Kubernetes work for the average engineer—via PaaS

IDG Contributor Network: Tales of eTail West, big data, and e-commerce success—or failure

I attend the eTail West event, annually if I am able, because that’s where the enablers hang out. The worlds of retail, fashion, and e-commerce offer plenty of glitz and glamor. If what you are looking for, however, are serious discussions and actionable business opportunities with the big data and analytics providers, and like-minded brands… Continue reading IDG Contributor Network: Tales of eTail West, big data, and e-commerce success—or failure

Azure cloud services guide: The right tools for the job

Microsoft launched the Azure service just over eight years ago in a bid to play catchup with Amazon Web Services. And it has succeeded. Azure is now the No. 2 cloud service, behind AWS. Just how far behind varies from one analyst firm to another, but the general consensus is that it is a two-horse… Continue reading Azure cloud services guide: The right tools for the job

IDG Contributor Network: 6 key data strategy considerations for your cloud-native transformation

Many organizations are making the move to cloud-native platforms as their strategy for digital transformation. cloud-native allows companies to deliver fast-responding, user-friendly applications with greater agility. However, the architecture of the data in support of cloud-native transformation is often ignored in the hope that it will take care of itself. With data becoming the information… Continue reading IDG Contributor Network: 6 key data strategy considerations for your cloud-native transformation

How to deal with bad data in your cloud migration

Do you have dysfunctional enterprise data? The symptoms are pretty easy to spot, including not having a single source of truth for customers, orders, inventory, etc. Or not be able to properly secure and govern the data, thus being unable to deal with regulations. To read this article in full, please click here (Insider Story)… Continue reading How to deal with bad data in your cloud migration

IDG Contributor Network: Big data + AI: Context, trust, and other key secrets to success

When Target deduced that a teenager from Minnesota was pregnant—and told her father about it before she’d broken the news herself—it was a reminder of just how powerful data analytics can be, and how companies must wield that power carefully. Several years later, big data and machine learning are being used together more and more… Continue reading IDG Contributor Network: Big data + AI: Context, trust, and other key secrets to success