D^3 Insights & Experiences

In the fast-paced and competitive world of entrepreneurship, advice can be a powerful tool for success or a potential pitfall. Recent research by Susan Cohen, Associate Professor, Terry College of Business at the University of Georgia, and Rembrand Koning, Associate Professor of Business Administration at Harvard Business School and Principal Investigator in the Tech for […]

Work, the workforce, and the workplace is subjected to constant disruption primarily as a result of advancements in technology. Weather it is the impact of robotization to manual work or the disruption of knowledge-based work as a result of software-enabled innovation, career values are being redefined to accommodate for the evolving nature of work. This begs many questions, most importantly, the short and long-term implications of such advancements in technology to the concept of work as we ‘used’ to know it and by extension the values we associate with our careers. Using a novel data of resumes from 16 million individuals in the United States, this research study shades light on the existential question of technological disruption to the labor market and impact on career values.

The following insights are derived from a recent Insights from the Field event featuring Chad Sanderson, covering the topic of Data Contracts for achieving high-quality data for Artificial Intelligence (AI). Overview Chad began this session by demystifying some hyperbolic claims in the world of Artificial Intelligence (AI), including the idea that AI models could replace […]

The following insights are derived from a recent Assembly talk featuring Hywel Benbow, regarding applying data analytics to enhance the performance of educational institutions. We presented a few question to Hywel during this talk, and what follows is a summary of his responses. Could you speak to some overarching and generalizable ways educational organizations could […]

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 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 […]

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.

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:

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 […]