The Way Forward for SaaS

Scott was inspired to create prescienceAI after years of C-suite leadership in high-growth SaaS businesses, where he spear-headed groundbreaking projects in applying machine learning to retention and churn propensity. Specializing in SaaS throughout his career, he has led multiple venture and private equity-backed companies to highly successful exits. He brings extensive experience in business strategy, capital structure, compensation, pricing, financial controls and operations to prescienceAI.

LinkedIn

Dave has held Chief Science Officer and similar roles at Civitas Learning, Healthcrowd, Humana, SKT Americas, and Accenture Tech Labs, building both enterprise and consumer health and learning applications leveraging big data, social network, and networked sensors. His research interests encompass all aspects of data processing, machine learning, complex event processing, nudging, behavior science, and multi-level impact analysis. He has published over 50 papers in various journals and conferences, as well as a book entitled (with Frances Shin) “Pattern Recognition and Prediction with Applications to Signal Characterization” by Springer-Verlag. He holds 15 US and international patents and is active as a reviewer for journals and grant agencies.

LinkedIn