Robert Zwerling
co-Founder, Finance Analytics Institute
Robert J Zwerling is co-founder of the Finance Analytics Institute (www.fainstitute.com). FA Institute fuses finance and analytics, and through research and its Analytics Academy goes beyond the “What is” of Finance Transformation to the “How to” implement an analytics culture of data driven decisions that is Next Generation Finance.
Mr. Zwerling is also Managing Director of Aurora Predictions that offers its LightZ™ analytics and AI software purpose-built for Finance with a comprehensive suite of imbedded predictive models that delivers unbiased predictions and forecasts on large multi-source data. LightZ is intuitive to use for fast and deep insights to make better data driven decisions without need of data scientist or programming.
His 25 years career as a serial entrepreneur covers industries as manufacturing, telecom, and technology, and includes employment at Southern California Edison, Computer Sciences Corporation, and Vision Solutions. He is a regularly requested speaker on analytics and AI, and author of numerous articles and books. He is also a patron of Stanford University’s Hoover Institution.
Mr. Zwerling has a Bachelor of Engineering from Stony Brook University, Master of Science in Mechanical Engineering (thermodynamics and fluid mechanics) from CSU Los Angeles, member of the Tau Beta Pi engineering honor society, and a Registered Professional Engineer in California.
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Tobias Zwingmann
Tobias is the Managing Partner of RAPYD.AI and Partner with D2A2. He is an AI Advisor, O’Reilly Author and Instructor @ LinkedIn Learning. He has spent the last 5+ years in applied AI consulting where his work has taken him inside global enterprises in automotive and insurance, mid-sized companies with 500–1,000 employees, solopreneurs aiming to double their output, and small business owners uncovering $10k+ monthly savings in unexpected places.
Tobias believes the patterns of what makes AI succeed (and fail) remain remarkably consistent:
It’s about applying the principles of Profitable AI to deliver outcomes that matter: doing things faster, at lower cost, with higher quality or, even, scaling what you do to entirely new levels.
