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2025 IEEE Computer Society Enterprise Generative AI Summit

Enterprise GenAI Summit

The 2025 IEEE Computer Society Enterprise Generative AI Summit (Enterprise GenAI Summit) brings together industry leaders, technology innovators, and AI practitioners to explore how Generative AI (GenAI) is shaping the future of enterprises.

Unlike traditional academic AI conferences or commercially driven AI summits, this event takes a practical, industry-focused approach, emphasizing real-world applications, challenges, and balanced perspectives.

August 20-21, 2025 | San Jose, CA, USA

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Keynote Speaker

Devavrat Shah is an Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT. He is co-founder of Ikigai Labs whose mission is to transforming enterprise forecasting and planning with AI. Previously, he co-founded AI start-up Celect (part of Nike) to help retailers with allocation and fulfillment. At MIT, he was the faculty director of Deshpande Center for Tech Innovation between 2020 to 2023, founding director of the Statistics and Data Science Center at MIT between 2016 to 2020. He is a distinguished alumni of his alma mater IIT Bombay. His work has been recognized through career prizes 2008 ACM Sigmetrics Rising Star and 2010 INFORMS Erlang Prize; paper prizes at IEEE Infocom, ACM Sigmetrics, NeurIPS, INFORMS Applied Probability Society, INFORM Management Science and Operations Management; INFORMS George B Dantzig thesis prize and test of time awards at ACM Sigmetrics. He is Kavli Fellow of National Academy of Sciences. He is an adjunct professor at Tata Institute of Fundamental Research, Mumbai and distinguished professor of Data Science and AI at Indian Institute of Technology, Guwahati.

Key Objectives:

  • Explore the transformative potential of Generative AI – including next-generation foundation models and their applications across industries such as healthcare, finance, manufacturing, and technology.

  • Showcase successful enterprise deployments – from automation to AI-augmented workflows, highlighting key case studies.

  • Address critical challenges – including ethical considerations, regulatory compliance, governance, and technical roadblocks in scaling GenAI.

  • Foster collaboration – between enterprises, AI solution providers, policymakers, and thought leaders to accelerate responsible GenAI adoption.

  • Provide hands-on learning opportunities – through interactive workshops, expert-led panels, and strategic discussions tailored to industry professionals.

This summit differs from academic AI conferences, which focus primarily on research breakthroughs, and from commercial AI summits, which are often centered around specific products or services. Instead, it delivers a practical, actionable, and enterprise-driven perspective, featuring insights from industry leaders, regulators, and AI developers—with select academic contributions focused on enterprise applications and future trends.

Key Dates

  • Abstract Submission Deadline: 
    May 20, 2025
  • Author Notification: 
    June 20, 2025
  • Final Submission Deadline: 
    July 20, 2025
  • Event Dates:
    August 20-21, 2025 (San Jose, CA, USA)

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