Chicago Booth Review: How Strategy and Technology Go Hand in Hand

Naila Dharani, Sendhil Mullainathan, and Jens Ludwig collaborated on a recent article in Chicago Booth Review, the business publication affiliated with the University of Chicago. 

The article, For A.I. Companies, Technology Is Inherent in Strategy, can be found here 

LookDeep’s mission is to leverage A.I. to revolutionize telemedicine by improving patient monitoring in inpatient care settings using cameras and computer vision. Our journey illustrates that strategy choices and technology choices are one and the same.  

Narinder Singh, the co-founder and CEO of LookDeep Health, discusses the company’s disciplined approach to strategy and recognizes the complexities inherent in adapting algorithms, leading to prioritization based on algorithmic challenges rather than competitive hurdles. 

“What differentiates LookDeep’s product is the hours spent building a data set and ensuring its robustness (e.g., testing it with multiple people in a room at different times of day). This arduous approach to data generation not only increases the accuracy of the algorithm dramatically but also serves as a strategic and competitive advantage. Anyone who wants to compete with LookDeep’s product will have to make the same investment in data.”  

In essence, A.I. success hinges on bridging the gap between technology and strategy. As industries explore AI’s potential to enhance operations and reduce costs, business leaders who understand the algorithm-building process are indispensable.  

Author notes:  

      • Naila Dharani is the principal consultant for Chicago Booth’s Center for Applied Artificial Intelligence. Naila has acted as an advisor to LookDeep. 

      • Jens Ludwig is the Edwin A. and Betty L. Bergman Distinguished Service Professor at the University of Chicago Harris School of Public Policy.  

      • Sendhil Mullainathan is the Roman Family University Professor of Computation and Behavioral Science at Chicago Booth. Sendhil is a current advisor to LookDeep.  

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