Technology, Innovation

Over the last 20 years I have worked with universities, faculty members, and students on enabling their laboratory inventions for technology transfer into commercialization

I've consulted to startups as well as huge companies that are launching disruptive technologies and offerings -- e.g., positioning a radical imaging invention into the medical device space without drawing fire from the behemoths in the industry; or designing and introducing game-changing derivatives in the energy industry. And everything in between. Experience like that means more when you add some expertise. I've been fortunate at Harvard to study innovators in dozens of companies: A full year of coursework with Prof. Clayton Christensen (of "The Innovator's Dilemma" fame), who is also on my dissertation committee; plus many years facilitating and coaching executive education groups with Prof. Michael Tushman, an expert on innovation in large companies. My own research looks at week-to-week actions leadership teams can take to stay abreast of changing markets and competition -- while still delivering on existing business. So let's talk about you: Are you puzzled about how to position your new product in existing customer and competitive markets? Not sure which elements of your business model will clash with the product or with one another? These are make-or-break issues for your business! Let's talk and get you on the right path forward. If your data is clear, we'll chart a course forward; if not, we'll determine the short-term experiments and vital data to gather that will point you in the right direction.

How to build an enterprise solution using generative ai solution like GPT , Open CHatGPT, LLMs, Cognetive services and OCR or Custom Models while addressing, scalability, security, data privacy and governance

Developed IOT and cloud based platform for healthcare applications at large medical device manufacturers as well in startup environment. • Designed the architecture for next generation of connected medical devices that include patient diagnostic data, therapeutic feedback and algorithms. • Used design thinking methodologies to develop novel device and business model concepts for medical device applications.