Strategic Perspectives on AI Product Development

Posted October 10, 2019 in Business Agility & Software Engineering Excellence, Business Technology & Digital Transformation Strategies, Data Analytics & Digital Technologies

As AI becomes more visible as a corporate strategic tool, organizations will have to incorporate issues surrounding AI as part of corporate strategy. Pavankumar Mulgund and Sam Marrazzo help us by providing a framework for developing an AI strategy. The authors discuss the “minimum viable model” approach to the development of the underlying AI/ML models, along with the platform on which these models run and the inevitable tradeoffs. They conclude their piece by examining some best practices for the successful implementation of AI initiatives.

About The Author
Pavankumar Mulgund
Pavankumar Mulgund is a Clinical Assistant Professor and PhD candidate in the Management Science and Systems Department at the University at Buffalo (SUNY Buffalo) with more than 12 years’ corporate and consulting experience. His research interests include digital health interventions and their impact on various stakeholders (e.g., patients, providers, payers, and public health organizations), and his expertise includes technology strategy, the… Read More
Sam Marrazzo
Sam Marrazzo is CIO of Buffalo Niagara Medical Campus (BNMC). With a focus on driving economic opportunity that will position local companies for future growth, as well as retain and attract young people to the area, Mr. Marrazzo leads BNMC’s efforts to develop an innovative, reliable, and secure IT environment throughout the organization and the community. He is responsible for developing innovation strategy and fostering collaboration with… Read More
Not a member? Gain Access to the Cutter Experts today — register now to read select open-access articles.