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SAS

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Adopting AI: Ensuring Business Readiness

On Behalf of

SAS

Tad Funahashi, Fernando Lucini, Kimberly Nevala, and Abbie Lundberg

 

This content was created by the speakers of this event.

MIT SMR Connections

MIT SMR Connections was an independent unit within MIT Sloan Management Review. Operating separately from the editorial group, it created high-quality, sponsor-funded content. Connections no longer produces new content, but previously published sponsor-funded projects remain available on the MIT SMR website.

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JOURNEY TO AI SUCCESS

Is Your Business Ready for AI?

This Strategy Guide and webinar series will help your company harness the power of AI and launch successful AI projects.

About SAS

Conquer your analytics challenges, from experimental to mission critical, with faster decisions in the cloud. SAS Viya enables everyone — data scientists, business analysts, developers, and executives alike — to collaborate, scale, and operationalize insights everywhere. To learn more, visit www.sas.com/viya.

Once you’ve picked the right problems to solve with AI (as discussed in Part 1 of this series), it’s time to determine whether you’re ready, from a business standpoint, to launch an AI initiative. In this on-demand webinar, Tad Funahashi, M.D., of Kaiser Permanente; Fernando Lucini of Accenture Applied Intelligence; and Kimberly Nevala of SAS share expert advice on making that assessment.

In this one-hour webinar, you learn to:

  • Identify critical business enablers, requirements, and engagement models for AI adoption.
  • Determine whether automation or augmentation will provide the best business benefit.
  • Address AI-related questions about risk, ethics, and bias.
  • Take a “portfolio approach” to determining project ROI.

The speakers address business readiness across a broad range of industries, with a special deep dive into AI use cases and challenges in a sector affecting us all: health care.

MIT SMR Connections

Content Sponsored by SAS

About the Authors

Tad Funahashi, M.D. is chief innovation and transformation officer and orthopedic surgeon, Southern California Region, at Kaiser Permanente. Fernando Lucini is managing director and global data science and machine learning engineering lead at Accenture Applied Intelligence. Kimberly Nevala is a strategic advisor for SAS. At the time of this webinar, moderator Abbie Lundberg was president of Lundberg Media. She is now editor in chief of MIT Sloan Management Review.

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