AI (ML/DL) Operations

AI Operations: It Can’t Be Just an Afterthought

In the worlds of machine learning (ML) and deep learning (DL), operations and deployment is a subject that often falls by the wayside.

And the split reality between everyday on-premises Artificial Intelligence (AI) work and the industry’s fascination with more aspirational cloud-based AI work only makes matters worse.

Reasons to use AI

Reasons to use AI

For the adoption of AI/ML/DL to be actionable for Enterprise customers, the full spectrum of on-premises and cloud-based work needs to be accommodated.

Deployment and operations across environments need to be consistent.

On-premises provisioning and deployment should feel cloud-like in ease-of-use, and hybrid scenarios need to be handled robustly.

Installation and management of frameworks and models need to be handled too.

Join us for this free 1-hour webinar, from GigaOm Research, to explore these matters.

Live Podcast

The Webinar features GigaOm analyst Andrew Brust and special guests, Adnan Khaleel from Dell EMC, and Professor Sambit Bhattacharya of Fayetteville State University, a customer of Bright Computing.

This webinar is sponsored by Dell EMC, NVIDIA, and Bright Computing.

In this 1-hour webinar, attendees discover:

  • How cross-premises AI deployment is both necessary and achievable
  • What “AI Ops” looks like today, and where it’s going
  • The sweet spot of ML/DL training workloads between the data center and cloud

Register now to join GigaOm Research and Dell EMC for this free expert webinar.

Who Should Attend:

  • CIOs
  • CTOs
  • Chief Data Officers
  • Data Scientists
  • IT/Data Center specialists
  • DevOps professionals


About the Author Amel

I'm a Digital Marketing Strategist passionate about SEO and Digital Analytics. I also teach Digital Marketing and offer customized private coaching to entrepreneurs and in-house marketers to help them take their revenue or skills to the next level. Follow me on Twitter where I offer advice and share high quality content on marketing, tech and productivity.

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