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AI & Future of Business Technology

This community centers its focus on the burgeoning field of AI and delves into the far-reaching implications of artificial intelligence for the future of business technology. Participants engage in a rigorous exploration of cutting-edge advancements in AI, machine learning, and automation, all while unearthing novel avenues for innovation, operational efficiency, and strategic acumen in the corporate realm. This collaborative effort aims to shape the future of digital transformation through scholarly discourse, empirical inquiry, and the practical implementation of AI-driven solutions.

Realizing Healthcare’s AI Potential

The following insights are derived from a recent session on GenAI in Healthcare. On November 15th, the D^3 Institute’s Generative AI Observatory hosted the first session in its GenAI in Healthcare series, produced in collaboration with the Responsible AI Institute. Speakers Satish Tadikonda (HBS), Nikhil Bhojwani (Recon Strategy), Var Shankar (Responsible AI Institute), and Alyssa […]

Scaling Generative AI in the Enterprise – A Fireside Conversation with Bratin Saha

Since the launch of ChatGPT, GenAI has taken center stage, prompting business leaders to explore its potential for creating value. In a recent stimulating discussion featuring Bratin Saha, Iavor Bojinov, and Edward McFowland III, the conversation delved deep into the radical potential of GenAI and its seismic impact on businesses.

Screenshot from CBS News Segment, Tech Watch.

D^3 Research Featured on CBS News

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 of the […]

HBR: Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make society more or less equal: technological forces, supply-side forces, and demand-side […]

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