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New Operating Models and Business Models

The Digital Data Design Institute at Harvard invites individuals to embark on a journey into the future of business across industries and sectors. This collaborative effort bridges the intellectual chasm between academic research and industry practitioners to scrutinize innovative operating models and business models that are redefining traditional business paradigms that succeed in the age of AI and beyond. We delve into the intricate dynamics of digitalization, ecosystem-driven strategies, and platform-centric approaches that are shaping the contemporary business landscape. Together, we explore strategies and insights poised to empower organizations to excel in the ever-evolving world of commerce.

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Revitalize, Reinvent, Reskill: Unlocking Workforce Productivity

On October 22-23, the Digital Reskilling Lab hosted the “Revitalize, Reinvent, Reskill: Unlocking Workforce Productivity” conference, a collaborative effort between the Digital Data Design Institute at Harvard and Managing the Future of Work at Harvard Business School. This event convened business leaders and reskilling practitioners to engage in discussions on reskilling methodologies and share cutting-edge […]

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Navigating the Jagged Technological Frontier

In collaboration with Boston Consulting Group (BCG), new research from Digital Data Design Institute at Harvard chair and co-founder Karim Lakhani and others explores field experimental evidence of the effects of AI on knowledge worker productivity and quality. It involved evaluating the performance of 758 consultants, which make up 7% of the individual contributor workforce […]

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HBR: Reskilling in the Age of AI

In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and change occupations entirely. Companies have a critical role to play in addressing this challenge, but to […]

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Unlocking Personal Devices for AI – Exploring Hybrid AI

The following insights are derived from a recent Assembly Talk featuring Sushant Tripathy, Research Scientist in Machine Learning at Google. Hybrid AI has gained traction in recent years due to the increasing computational demands of advanced machine learning models. This article delves into the concept of hybrid AI, discussing its potential opportunities and limitations. The information […]

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