Enterprise AI is too important to be ‘experimental’. Here’s how to speed your way into production

This webinar will show you how to get a (Open) shift on

Webinar Developing and deploying enterprise applications is never “easy”. But developing and deploying enterprise AI applications is still necessarily hard.

Too many projects fail to make the leap from experiment to deployment, in large part because AI developers are unable to take full advantage of the platforms and pipelines mainstream business developers increasingly take for granted.

But what if AI and machine learning development could happen in the same “place” as the rest of your enterprise development, while still giving you access to the full gamut of tools and frameworks you rely on?

Well, with the debut of Red Hat’s OpenShift Data Science, it can, and you can find out more by tuning into this upcoming webinar, Building a Streamlined Platform for Enterprise AI, on December 16 at 9am PT / 12pm ET / 5pm GMT.

The Next Platform’s Nicole Hemsoth will be joined by Red Hat’s product marketing manager for cloud data services, Will McGrath, and principal architect for Red Hat OpenShift Data Science, Karl Eklund, as well as Intel AI technical consulting engineer, Rachel Oberman, and OpenVINO product manager, Ryan Loney.

They’ll discuss why so many AI experiments are doomed to failure, long before developers get anywhere close to deploying to production.

But they’ll also explain how Red Hat OpenShift Data Science provides a platform that allows AI specialists to use their preferred tools and frameworks, confident that they can deploy into production at scale.

And they’ll discuss how Intel’s OpenVINO and OneAPI AI Kit can accelerate development further, help to optimize models, speed deployment, and open up a world of hardware platforms.

Joining this conversation is a similarly accelerated process. Just head here and register, and we’ll make sure you’re reminded on the day. No-one’s saying getting from experiment to execution won’t be a challenge, but after this session you’ll know it’s not an insurmountable one.

Sponsored by Red Hat

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