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Sanjin Bicanic

Partner at Bain & Company focusing on AI/ML

Sanjin Bicanic is a Partner at Bain & Company, focusing on AI/ML and based in San Diego, California.1 He joined Bain & Company in September 2012 and has progressed through various roles, becoming a Partner in January 2022.1

Bicanic's expertise includes:

  1. Generative AI applications
  2. Traditional AI/ML applications
  3. Data and Advanced Analytics Strategy

His work involves commercial and strategic diligence for growth equity and private equity targets, with a deep understanding of Generative AI's impact on assets.1 Bicanic also specializes in corporate and business unit strategy in Technology, Media, & Telecom (TMT) sectors.1

Before joining Bain, Bicanic worked as a Senior Software Engineer at Tellabs from 2005 to 2010.1 He holds an MBA in Business Strategy from Yale University's School of Management and a BS in Computer Software Engineering from Clarkson University.1

Bicanic is recognized as an AI leader, contributing to Bain's insights on AI adoption and implementation.2 He has authored articles on AI-related topics, including "Zero-Based Redesign: The Key to Realizing Gen AI's Cost Savings Potential"3 and "AI Survey: Never Mind the Skeptics".24

Highlights

Sep 12 · linkedin

Getting some benefits of GenAI, but not impressed by the results?

You're not alone.

One reason could be that you're just applying AI to an old process when you need to fundamentally rethink how work gets done. The transition from steam to electric power required us to rethink how work gets done (in manufacturing). AI might be similar when it comes to knowledge work.

An article I helped co-author goes into more detail on this and other potential culprits standing in the way of AI-enabled results that have nothing to do with AI technology not being good enough. https://bit.ly/3z84Hma

Jun 20 · linkedin

Bain’s quarterly survey on generative AI. A few key things that stand out to me:

  1. Use is far more prevalent than most realize - 40%+ have in production, 80%+ piloting
  2. Typical data, IP, and security concerns begin to fall and appear to do so faster than the cloud did a decade ago
  3. 3 out 4 use-cases meet or exceed expectations - this is much better than typical new tech
  4. When it falls short, tech falls short is the top, but adoption issues and off-the-shelf toolings are 3 and 4, but fastest rising https://bit.ly/3KSsGYD

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Sanjin Bicanic
Sanjin Bicanic, photo 1
Sanjin Bicanic, photo 2
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Location

San Diego, California, United States