Mohak Shah is an accomplished AI and technology executive with extensive experience in bringing data- and AI Products to market. He has led various zero-to-one initiatives in ideating, researching, developing, and launching multiple AI products with nimble, geographically distributed teams. He has launched and deployed first revenue-generating products for start-ups, led product and AI strategy, built teams from ground up across various verticals and geographies.
Extensive enterprise experience in AI and digital transformation, business strategy, end-to-end data science and AI programs, and building and leading globally distributed high-performing organizations. Mohak has led business-critical, transformational analytics- and IoT-initiatives, new business ideation and buildup, with $100's MM in financial impact in multiple domains including automotive, aviation, manufacturing, semiconductors, energy, and healthcare.
Mohak has managed diverse, distributed teams including research, software, and businesses. He has deep experience in identifying and enabling new revenue streams for services-based businesses having led development of novel data- and AI technologies with high impact business applications. He has established world-class innovation ecosystems with academia and industrial partnerships.
Mohak is an internationally recognized AI, machine learning and data science expert. He is the author of "Evaluating Learning Algorithms: A Classification Perspective" (Cambridge) with Nathalie Japkowicz, and, has published more than 50 research articles in top conferences and journals in the analytics space, and patented technologies. He is deeply passionate about responsible development, introduction, adoption, and integration of AI capabilities in industry and society at large.
He is the founder and Managing Director of Praescivi Advisors, a strategic AI advisory firm.
Specialties: Leadership, Strategy, AI and Machine learning, Data Science and Analytics, Industrial analytics, IoT Data and Analytics strategy Technology and Innovation roadmap