Simplifying the Complex

As does most everyone, as long as it also includes tools needed to create true and complete models that are useful for process.

Microsoft Wants to Simplify Machine Learning

Ahead of its Build conference, Microsoft  today released a slew of new machine learning products and tweaks to some of its existing services. These range from no-code tools to hosted notebooks, with a number of new APIs and other services in-between. The core theme, here, though, is that Microsoft is continuing its strategy of democratizing access to AI.

Ahead of the release, I sat down with Microsoft’s Eric Boyd, the company’s corporate vice president of its AI platform, to discuss Microsoft’s take on this space, where it competes heavily with the likes of Google and AWS, as well as numerous, often more specialized startups. And to some degree, the actual machine learning technologies have become table stakes. Everybody now offers pre-trained models, open-source tools and the platforms to train, build and deploy models. If one company doesn’t have pre-trained models for some use cases that its competitors support, it’s only a matter of time before it will. It’s the auxiliary services and the overall developer experience, though, where companies like Microsoft, with its long history of developing these tools, can differentiate themselves. ... ?