Paul is a Visiting Senior Lecturer in Information Technology at the MIT Sloan School of Management. In his research and teaching, Paul creates key intersection points between technology and business. He specializes in translating computer and data science into measurable business value that evolves organizational capability, transformation, and strategy. He teaches in MIT Sloan’s, ‘Accelerating Digital Transformation with Algorithmic Business Thinking’, and ‘Digital Learning Strategy’ programs. As an early pioneer in Digital Reality, Paul has successfully invented and innovated with Extended Reality (XR) and metaverse technologies across multiple industries for more than 20 years and is a featured lecturer in MIT Sloan’s, ‘Business Implications of Extended Reality (XR): Harnessing the Value of AR, VR. Metaverse, and More’ program. Paul also teaches in, and contributes to, a wide range of MIT Sloan Executive Education programs. Paul plays a role in shaping the growing portfolio of digital programs at MIT Sloan Executive Education. He collaborates with the MIT Sloan team to define digital strategy and drives transformative technology experimentation.
There’s nothing new about the rise and fall of the AI hype cycle. It’s been going on for decades. But AI may be ready to finally deliver this time.
AI systems are fundamentally reliant on the quality of the data they are trained on. I see many organizations struggling with data silos, inconsistent data formats, and complex privacy concerns that span geographies and jurisdictions.