Judith Hurwitz is a technology consultant and strategist, thought leader, and author. She has co-authored 10 books. Her most recent books include Augmented Intelligence: The Business Power of Human-Machine Collaboration https://amzn.to/37W7L3j, Cloud Computing for Dummies (Second Edition) https://amzn.to/3AWDLRB, and Cognitive Computing and Big Data Analytics https://amzn.to/3mi9rfZ. Judith’s career has focused on the importance of emerging technology that can transform markets. She is passionate about the importance of understanding data in context and the imperative for collaboration between data scientists and business leaders.
Judith has more than 25 years of experience in the technology industry including stints at John Hancock and Apollo Computer (acquired by Hewlett Packard). She founded three companies including Hurwitz Group, Inc., CycleBridge Technologies, and Hurwitz & Associates. She serves on the advisory board of numerous emerging companies and is a frequent speaker at industry events. Judith is a graduate of Boston University where she currently serves on the Boston University’s College of Arts & Sciences Dean’s Advisory Board.
Scott Cunningham is the author of Causal Inference: the Mixtape. He is also the proprietor of Mixtape Sessions, an education platform that teaches workshops on causal inference and related topics whose mission is to “democratize causal inference”. Cunningham is a public policy scholar and professor of economics at Baylor University where he is recognized for his research on health and labor economics, particularly mental healthcare, abortion policy, drug policy and sex work.
Paul Hünermund is the co-founder of causalscience.org, a platform for fostering knowledge exchange between industry and academia on topics related to causal data science.
Dr. Hünermund’s research has been published in Journal of Management Studies, Research Policy, Journal of Product Innovation Management, International Journal of Industrial Organization, and Harvard Business Review, among others. He serves on the editorial board of the Journal of Causal Inference and on the executive team of the Technology and Innovation Management division at the Academy of Management.
Nick Huntington-Klein is an author and renowned industry expert on econometrics and causal inference. His work includes developing methods to disentangle cause and effect and helping to apply the methods in many different academic and business settings. He has authored several widely-circulated documents on causal inference including the book The Effect. Nick is currently an assistant professor of economics at Seattle University and devotes significant time to teaching how causal inference methods work to a broader audience of academics, students, data scientists, and businesspeople.
Dave Bartlett has been a C-suite executive and technology leader for major corporate organizations serving as Chief Technology Officer for Panasonic Avionics, GE Current, and GE Aviation. Prior to that, he was a VP of IBM Software Development, and IBM Research focused on autonomic self-managing systems. In addition to his advanced degrees and industry recognition around IoT and digital transformation, he has recently earned formal certifications from MIT for both AI and Cyber Security.
Evren Eryurek is Director of Product Management for Google’s Cloud’s Data Analytics platform. Prior to joining Google, he was the SVP & Software Chief Technology Officer for GE Healthcare. Evren began his GE career at GE Transportation, where he served as General Manager of the Software and Solutions business. Prior to that, Evren was with Emerson Process Management group for over 11 years, where he held several leadership positions and was responsible for developing new software-based growth technologies. Evren holds a master’s and doctorate in Nuclear Engineering, holds over 60 US patents, and is the author of the book titled “Data Governance: The Definitive Guide.”
Boris Sobolev is a Canadian healthcare researcher. He is the author of Waiting Time Data Analysis in Health Services Research and Healthcare Evaluation with Computer Modeling: Concepts, Methods and Applications, and is the editor-in-chief of the Health Services Research series published by Springer Science+Business Media. Sobolev studied applied mathematics at Tomsk State University, received his PhD in applied statistics from the USSR Academy of Sciences in 1989, and completed postdoctoral training at the International Institute for Applied Systems Analysis in Austria in 1990. In 2008, he moved to the University of British Columbia, Canada, as a professor in the School of Population and Public Health.
As Principal at Evident Health Strategies, Paul Bleicher, MD, PhD, is a consultant, advisor, and Board member to healthcare and life science businesses, internationally. He works with private equity investments in healthcare and life science IT/data as an executive partner and with pre-seed startup companies through his work as a founding advisor at Petri. Prior to these roles, he was the chief executive officer of OptumLabs, an open, collaborative research and innovation center founded by Optum and Mayo Clinic to accelerate improvements in patient care and value through clinical, policy, and product innovation driven by new insights from big data.
Alan F. Nugent
Alan F. Nugent is a technology industry veteran who has served as CTO for global companies like CA Technologies, Novell, American Re, and Xerox. His most recent corporate role was as SVP for the Oracle Cancer Research Cloud project, a massive, curated multi-omic healthcare data repository designed to accelerate research for individualized treatments and molecular medicine. His career has reached a pinnacle in the last decade as he is mission-focused on the nexus of technology and global healthcare solutions. Currently, Al is the managing partner at Palladian Partners, LLC, a firm dedicated to solving healthcare challenges worldwide.
Al’s skills and experiences are particularly suited to technology transformation and disruption. His holistic approach to solving people, process, and product evolution have been proven out many times and in many disciplines.
Over the years, Al has served on several boards and as an advisor to early and mid-stage technology and healthcare companies. Currently, he is on the board of Jaxon.ai, an AI-powered data labeling and training platform that helps build customized, fully trained models with minimal human supervision. He is also an advisor to Geminos.ai, a company whose Causeway platform uses causal models to remove complexity and increase explainability by providing a common language between data scientists and the business underpinned by the science of causality. He is also an advisor to Marlborough Street Partners. Al co-authored Big Data for Dummies and was the lead technical editor for Cognitive Computing and Big Data Analytics.