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The Center for Digital Transformation conducts and disseminates research on digital transformation. As a university-based center, it focuses on educating the workforce for success in a technology-intensive world.
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Artificial Insecurity: Why AI Will Worsen Social Fragility and How Business Leaders Must Act to Narrow the Gap

Professor Bhaskar Chakravorti, Dean of Global Business at the Fletcher School of Law & Diplomacy at Tufts University

Join CDT Director Vijay Gurbaxani in a conversation with Professor Bhaskar Chakravorti of Tufts University to discuss AI’s potential effects on social inequities and the steps that business leaders should take to mitigate them.

AI acceleration will make societies’ existing inequities even worse, and it can erode trust in AI, deter widespread adoption, and limit the technology’s productivity benefits. This can be a difficult problem to fix. For one, the inequality is created not by a single societal fracture, but many. Two, regulation and policy interventions are being deprioritized. Businesses — both AI producers and adopters — must find their own alternative solutions to fill the policy gap. Solutions may be left to companies whose leaders take on the responsibility. The good news is that company leaders can act to mitigate the risks. Professor Chakravorti will argue that they must consider six different “divides” caused by AI and, in each, consider key levers to effect change: technologies, institutions and markets.

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Understanding DeepSeek and Open Source Frontier Models: A Conversation with Tuhin Srivastava

Tuhin Srivastava, CEO & Co-Founder, Baseten

Senior Industry Fellow and UCI Chief Digital Officer Tom Andriola was joined in conversation by Tuhin Srivastava, CEO and co-founder of Baseten, on how organizations should approach the potential use of open source frontier models.

This discussion explored the transformative impact of DeepSeek on AI development, how open source frontier models might affect innovation, and the considerations of integrating open source models into enterprise infrastructures. Mr. Srivastava will addressed critical issues such as competitive differentiation in an open source landscape, navigating regulatory and security risks, and the evolving dynamics between open-source AI and industry giants. 

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Unlocking High-Value Enterprise LLM Use Cases: A Conversation with Dr. Sharon Zhou

Dr. Sharon Zhou, Co-Founder & CEO, Lamini AI

CDT Director Professor Vijay Gurbaxani was joined in a conversation with Dr. Sharon Zhou, CEO of Lamini AI, to break down the use of large language (LLM) models.

The majority of enterprises are still in the early implementation phase of LLM adoption maturity. They have some shallow LLM applications in production, but still haven’t unlocked the highest value use cases from their AI initiatives. In this session, we’ll discuss why enterprise adoption is lagging behind current AI capabilities, why accuracy matters and how it underpins agentic workflows, and how enterprise leaders can help their organizations mature in their AI practice.

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Unlocking Growth with Data & AI: 10 Key Strategies to Scale AI in Your Enterprise

Prachi Priya, AI Advisor, Chief Data & Analytics Officer 

CDT Director Professor Vijay Gurbaxani recently joined in conversation with renowned AI Advisor and Chief Data & Analytics Officer, Prachi Priya, for a strategic deep dive into how Data and AI can be the catalysts for unprecedented business growth.

This webinar moves beyond the hype and delivers a pragmatic blueprint for integrating AI into your enterprise strategies. Ms. Priya dissects the 10 key strategies required to prepare your organization for AI-driven growth, focusing on data maturity models, foundational readiness, followed by a clear, actionable blueprint to revamp and scale AI in your enterprise.

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