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Future of Work

This community of practice delves into the contemplation of the future of work in the age of AI-augmentation and rapid digital advancement. As the modern workplace undergoes profound transformation, scholars and practitioners convene to address the myriad challenges and opportunities that lie on the horizon. This intellectual forum explores subjects such as remote work, workforce diversity, talent management, digital reskilling, and the impact of automation on tomorrow’s workplaces. Participants explore the strategies for organizational leaders and individuals to navigate the evolving realm of work with dexterity and foresight.

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 […]

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.

alternating stuffed animals, signifying upskilling vs. reskilling

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 […]

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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