Artificial intelligence (AI) and machine learning (ML) have been helping businesses become more efficient for years now, and their applications are growing seemingly by the day. Given this fast evolution, it’s understandable that many organizations aren’t quite sure how to best use AI and ML to help their business.  This was the case at mixi, […]

Today, we’re making TabNet available as a built-in algorithm on Google Cloud AI Platform, creating an integrated tool chain that makes it easier to run training jobs on your data without writing any code.  TabNet combines the best of two worlds: it is explainable (similar to simpler tree-based models) while benefiting from high performance (similar […]

Today’s enterprises run applications in a variety of locations—in their data centers, in a cloud, in our cloud—and want the freedom to keep them there (or move them down the road)—in response to any number of factors. Those factors can include cost, uptime, compliance requirements, latency considerations, or proximity to other services, just to name […]

Welcome to week 8 of Google Cloud Next ‘20: OnAir, where the focus is Cloud AI! This week our goal is to show you how to generate value with AI on our AI Platform. We’ve got a lineup of great content that covers everything from announcements and deep dives to customer stories and demos.  As […]

Building AI-powered apps can be painful. I know. I’ve endured a lot of that pain because the payout of using this technology is often worth the suffering. The juice is worth the squeeze, as they say.  Happily, over the past five years, developing with machine learning has gotten much easier thanks to user-friendly tooling. Nowadays […]