For the last 15 years Mr. Smith has been leading the business and technology efforts at Microchip to better serve medical device companies. His career spans over 30 years of experience in semiconductor and systems engineering as well as marketing and business development. His experience has been at both Fortune 500 firms as well as at smaller entrepreneurial companies. He has developed products in multiple engineering disciplines, including new hardware and software designs as well as leading global technical project teams. Mr. Smith has also driven new product marketing initiatives and led the development of business within target market segments. He graduated with a Bachelor of Science in Electronics Technology from Brigham Young University and a Master of Business Administration from the University of Phoenix’s traditional campus program.
Medical device teams are under increasing pressure to add intelligent monitoring capabilities while maintaining or improving existing performance, mitigating patient data privacy risks, and enabling clinicians to make better informed diagnoses. Through examples like EMG and adaptive prosthetics, we will show how systems can flag deviations from baseline in real time - supporting preventative analytics, improving responsiveness, and preserving privacy. Real-time healthcare doesn’t have to rely on the cloud. On-device AI brings intelligence directly to the patient, reducing latency and improving reliability. This session explores how embedded, on-device AI enables time-series analysis for patient-specific monitoring, allowing systems to detect physiological anomalies while maintaining clinician oversight.