As a C-Level executive, you understand that a hypothesis-driven market strategy is key to the success of your business. Increasingly, however, the IT Department is taking over, using data analysis to furnish “answers” and creating an environment where hypotheses ending in questions are “defeats.” You know that data explains the past while your domain knowledge and experience informs the future. If this success/failure climate takes hold and persists at your company, your business will fail. IT is analyzing the past, but they are mistaking it for the future. For the holistic health and future of your business, you must reclaim your hypothesis-driven methodology. You must use your experience to reconnoiter analyst perspective, remind all of company credo, and recalibrate to encourage hypothesis-driven analysis.
KEYNOTE (AI): Verdant AI -- Turn Off Your Targeting Computer
Brian Dolan is well known in the data community as a leading mathematician, data scientist and cyberneticist with more than 20 years of hands-on experience.
Prior to starting Verdant AI, Brian co-founded Deep 6 AI, Qurius Inc and Discovix. Brian has consulted and led enterprise analytic projects from design to implementation for clients like EMC, SuperValu, Northern Trust, Zions National Bank, Havas Media, T-Mobile, the U.S. Intelligence Community, and Research In Motion. Formerly Chief Scientist at Greenplum (acquired by EMC), Brian also headed up data scientist teams at Yahoo! Inc. and served as Director of Research Analytics at FOX/MySpace.
Throughout his career, he has developed thousands of machine learning products, and his consulting experience includes numerous state and local governments. He is also co-author of the seminal “MAD Skills: New Analysis Practices for Big Data,” which has been cited more than 400 times in the big data/machine learning industry. In 2017 Brian spoke at TEDx Millsaps College on “A Cybernetic View of AI in HealthCare Systems.” Most recently, he has written a chapter entitled “Information Pathways: From Natural to Artificial Systems, and Back Again” in the book Transforming Healthcare with Big Data and AI, to be published in 2019.
Brian has a Master of Arts in Pure Mathematics from UCLA as well as a Master of Science in Bio-Mathematics from the David Geffen School of Medicine.