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  • September 2020
  • Case
  • HBS Case Collection

True North: Pioneering Analytics, Algorithms and Artificial Intelligence

By: Karim R. Lakhani, Kairavi Dey and Hannah Mayer
  • Format:Print
  • | Language:English
  • | Pages:30
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Abstract

True North was a private equity fund that specialized in the growth and buyout of mid-market, India-centric companies. The leadership team initially believed that technology was not core to traditional businesses and steered clear of new age technology-oriented businesses. Then, in 2007, True North invested in Meru Cabs, a ride-sharing service with a growing fleet of cabs that had to change its business model with the launch of tech-based platforms like Uber. This experience led True North to significantly alter its stance on the importance of technology-powered business models. The team learned that all businesses needed to effectively become technology businesses to remain relevant. True North initiated the “Analytics, Algorithms and Artificial Intelligence” (3A) project. A system, Kelp, was designed and developed internally to facilitate the transformation of True North into an AI-first firm based on the introduction of data-driven decision making and productivity-enhancing digital tools. In 2020, as different elements of Kelp were launched, the leadership team met to discuss the future of this technology.

Keywords

Artificial Intelligence; Information Technology; Management; Operations; Organizations; Leadership; Innovation and Invention; Business Model; AI and Machine Learning; Computer Industry; Technology Industry

Citation

Lakhani, Karim R., Kairavi Dey, and Hannah Mayer. "True North: Pioneering Analytics, Algorithms and Artificial Intelligence." Harvard Business School Case 621-042, September 2020.
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About The Author

Karim R. Lakhani

Technology and Operations Management
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  • Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
  • How Status of Research Papers Affects the Way They Are Read and Cited By: Misha Teplitskiy, Eamon Duede, Michael Menietti and Karim R. Lakhani
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