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Mohan Giridharadas

Widely recognized as an expert in lean principles, Mohan Giridharad spent 18 years at McKinsey & Company (including six years as senior partner/director), where he co-created the lean service operations practice, ran the North American lean manufacturing and service operations practices and the Asia-Pacific operations practice. He has helped numerous Fortune 500 companies drive operational efficiency with lean practices. As the founder and CEO of LeanTaaS, Mohan has worked closely with dozens of leading healthcare institutions including Stanford Health Care, UCHealth, UCSF, New-York Presbyterian and more. Mohan holds a B.Tech from IIT Bombay, a master's degree in computer science from Georgia Institute of Technology, and an MBA from Stanford Graduate School of Business. He is on the Faculty of Continuing Education at Stanford University and UC Berkeley Haas School of Business. Mohan has been named by Becker's Hospital Review as one of the top entrepreneurs innovating in healthcare.

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Q&A by Mohan Giridharadas

What are some key mistakes companies tend to make when it comes to implementing and using big data analytics? What are some key mistakes companies tend to make when it comes to implementing and using big data analytics? What are some key mistakes companies tend to make when it comes to implementing and using big data analytics? What are some key mistakes companies tend to make when it comes to implementing and using big data analytics?


For more than a decade, healthcare organizations have invested millions of dollars building data warehouses and armies of data analysts...

How can small businesses integrate machine learning into their processes ... or should they even do so? How can small businesses integrate machine learning into their processes ... or should they even do so? How can small businesses integrate machine learning into their processes ... or should they even do so? How can small businesses integrate machine learning into their processes ... or should they even do so?


Machine learning integration depends entirely on the stability of the process and the improvement that can be achieved by analyzing vast...

What kinds of business problems can machine learning handle? What kinds of business problems can machine learning handle? What kinds of business problems can machine learning handle? What kinds of business problems can machine learning handle?


At LeanTaaS, our focus is to use predictive analytics, optimization algorithms, machine learning and simulation methods to unlock the...

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