The Path Forward on Scaling AI and Data Science Part 5: AI engineering: Pragmatic ways to build your

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When:  Mar 16, 2021 from 09:00 AM to 10:15 AM (PT)

Part 5: AI engineering: Pragmatic ways to build your ModelOps practice 

The fifth session will cover the topic of ModelOps and AI engineering.  There is a spectrum of technical disciplines that AI and data science teams must consider in operationalizing AI, including ModelOps, DevOps and DataOps.  

  • What is AI engineering and why does it matters
  • Typical pitfalls that organizations face in operationalizing AI
  • ModelOps patterns and options
  • Advancements in tools, organizational approaches and processes

Speakers:

Darrell Reimer, Distinguished Engineer, IBM Research

Julianna Delua, Data Science and AI SME, IBM Data and AI


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