IBM Innovation Preview: Advances in AI and Lifecycle Automation

When:  Oct 5, 2021 from 09:00 AM to 10:00 AM (PT)
Summary

Designing AI engineering and ModelOps to realize the full potential of AI investments

AI has been playing a vital role in accelerated discovery, improved prediction, resource optimization, and risk mitigation  With increased availability of automated AI tools, organizations can expand the talent pool for AI development and scale AI implementations much faster than ever before.  In particular, AI engineering is a discipline that brings together DevOps, ModelOps and DataOps practices through lifecycle orchestration. This confluence of operational disciplines can help transform how a business can operate, scale and innovate in this volatile business environment. 

At IBM, we invent things that matter to the world. We are pioneering the most promising and disruptive technologies in AI to help build, train, deploy and manage AI models faster and more securely. In this special 60 minute live session, we will share some of the exciting innovations in AI and explore how to unify the tools, processes and talent to drive AI-powered digital transformation. You can engage in live Q&A during this live session.

Key Takeaways:

  • Get up to speed on the latest innovations in AI 
  • Understand how AI is impacting the business and society as a whole
  • Explore IBM Research is working on in the areas of AI engineering and ModelOps
  • Discover potential areas of opportunities and challenges in lifecycle automation
  • Improve ways of validating and testing AI models through automated and manual processes
  • Learn how you can take advantage of innovation pipelines in IBM Watson Studio on Cloud Pak for Data

Register now and get ready to learn about the latest AI researches and insights that you can use to advance your AI engineering practice. 

Rania Khalaf
Rania Khalaf
Director of AI Platforms
IBM Research

Rania Khalaf is the director of AI platforms in IBM Research AI working on platforms, programming models and tools to make creating AI a delightful experience for data scientists and developers. We tackle problems at the intersection of core AI, distributed systems, cloud computing, human computer interaction and visualization.

Darrell Reimer
Darrell Reimer
Distinguished Engineer
IBM Research

Darrell Reimer is a Distinguished Engineer at IBM Research AI focusing on what it takes to bring AI into business critical systems while minimizing any risk involved. His current research focus includes AI automation, Model Operations (ModelOps) and continuous improvement of AI. Over 20+ years at IBM, Darrell has driven innovation in technology, product delivery and client engagements.

Julianna Delua
Julianna Delua
Data Science and AI SME, portfolio lead, Watson Studio
Cloud Pak for Data

Julianna Delua is an SME and portfolio lead for Watson Studio | Cloud Pak for Data. Julianna specializes in developing new products and markets with ecosystems in the areas of multicloud AI, cloud native apps and IoT from core to edge.