Advancing The Competitiveness And Productivity Of Businesses In The Digital Economy

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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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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The Economic Impact of Generative AI

Dr. Michael Chui, co-author of the report and Partner at McKinsey Global Institute 

Generative AI has taken the world by storm. Economists expect the technology to contribute to global GDP and productivity growth. How big will the effects of generative AI be? And what will firms have to do to realize the potential?

The McKinsey Global Institute has published The Economic Potential of Generative AI: The Next Productivity Frontier, which highlights generative AI’s potential trillion-dollar impact on the global economy, the industries that will draw the biggest value from generative AI, and what these implications mean for the workforce at large.

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Achieving Shared Prosperity in The Age Of AI

Simon Johnson, Professor of Entrepreneurship at the MIT Sloan School of Management

MIT economist Simon Johnson shares the key insights from his book, Power and Progress: Our Thousand-Year Struggle Over Technology and Prosperity, highlighting impediments to shared prosperity in prior technology revolutions, and the changes to business and regulatory contexts that we should make to achieve equitable growth in the age of AI.

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