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How AI Demands Organizational Change

New Approaches to Collaboration, Technology, and Trust


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MIT SMR Connections

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New research from MIT SMR Connections and SAS finds that organizations that are implementing AI widely have recognized the need to make significant changes in order to enable cross-functional collaboration; provide a more robust and up-to-date IT infrastructure; and manage new risks that can jeopardize trust in AI.

In this on-demand webinar, Kimberly Nevala, SAS strategic advisor; Peter Guerra, Accenture North America chief data scientist; Rob Stillwell, senior VP and business analytics officer, Seacoast Bank; and Capt. Michael J. Kanaan, cochair for artificial intelligence, U.S. Air Force, have a roundtable discussion exploring our research findings and how leaders of AI initiatives are meeting the challenges encountered.

You will learn:

  • How to connect strategic objectives to AI use cases.
  • What structures best enable collaboration between data scientists, IT, and business function leaders, and what new skills that collaboration will require.
  • How IT leaders must be prepared to reset priorities to ensure that key technology capabilities are in place for AI development and deployment.
  • Why it will be critical to build new processes for governing trusted AI in order to manage amplified regulatory, operational, and reputational risks.

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Content Sponsored by SAS