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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.

The Impact of Innovation Contests in Federally Qualified Health Centers

The following insights are derived from a recent Assembly talk featuring Olivia Jung, PHD, and Andrea Dorbu, MPH on Innovation Contests in Federally Qualified Health Centers in the United States. In this talk, Andrea and Olivia discussed a research project that they conducted across 54 Federally Qualified Health Centers (FQHCs) in the United States to […]

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Tech For All Lab Explores Innovation in Women’s Health

Historically, there has been limited attention and innovation in addressing issues like menopause, endometriosis, and menstrual health. This is partly due to the underrepresentation of women as inventors and entrepreneurs. However, some exceptional women like Geetha Manjunath and Linda Griffith have made significant contributions by leveraging their personal experiences and expertise. Geetha Manjunath, with a […]

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 Karim R. 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 […]

From Data to AI: Maximizing Organizational Value Through Effective Operating Models

The following insights are derived from a recent Assembly talk featuring Samir Sharma, the CEO of datazuum.  

In this talk, Samir emphasizes the importance of connecting data strategy with business objectives via a detailed discussion of operating models, which are structured frameworks or organizational approaches that govern how an organization manages and utilizes its data analytics and related processes. Samir draws from his expertise in organizational psychology to highlight the challenges organizations face in embedding data and analytics into their core practices and considers the critical role of talent, systems, processes, and upskilling in building a successful operating model.

See table for a summary of the five types of operating models Samir discussed in this talk along with the advantages and challenges that come with adopting each model in a business setting.

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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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 Karim R. 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 […]

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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 – Applications of Hybrid-AI for Businesses

This is a continuation of insights shared during a recent Assembly Talk featuring Sushant Tripathy; Research Scientist in Machine Learning at Google. Most practical examples of hybrid-AI in businesses have to do with organizations effectively deploying hybrid-AI to improve the efficiency of computing tasks. The following are a few examples of promising applications:

Sushant's headshot

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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