IAPA’s national conference, Advancing Analytics, will go ahead virtually on November 17 and 18 with international and local speakers sharing their experience and lessons learned in using analytics in business.
“Advancing Analytics” asks if not now, when? as it explores why now is the exact time organisations should seek out their analytics team, pore over data insight reports, and balance agility with real-time trends and analysis to select the best path forward.
Featuring ‘analytics in business’ visionary, Tom Davenport; champion of interpretable machine learning, Cynthia Rudin; former Netflix Vice Presiendt, Gibson Biddle; and the IAPA Top 10 Analytics Leaders, the event will include intimate discussion on today’s key issues in analytics.
Delivered virtually and live, all sessions will include dedicated time for speakers to answer audience questions directly. Sessions will not be recorded, so logging in will be essential.
Tom Davenport will kick off the opening day with a keynote discussing AI analytics in a time of uncertainty. An author and co-author of 20 books and more than 200 articles, Davenport is President’s Distinguished Professor of Information Technology and Management at Babson College, a Fellow of the MIT Center for Digital Business, and an independent senior advisor to Deloitte Analytics.
Following Professor Davenport on the opening day, Gibson Biddle will discuss Netflix’s Customer Obsession. Biddle joined Netflix as VP of Product in 2005 before joining Chegg, a textbook rental and homework help startup, as Chief Product Officer. Today he’s an adviser, speaker, and guest lecturer at both Stanford and INSEAD.
Cynthia Rudin (pictured above) will kick off the second day with a keynote on ‘Interpretability vs. Explainability in Machine Learning: for justice and healthcare the time is now’. A professor of computer science, electrical and computer engineering, and statistical science at Duke University, she also directs the university’s Prediction Analysis Lab.
Professor Rubin is also an associate director of the Statistical and Applied Mathematical Sciences Institute (SAMSI). Previously, Prof. Rudin held positions at MIT, Columbia, and NYU. She holds an undergraduate degree from the University at Buffalo, and a PhD from Princeton University.
Rounding out each day’s events will be discussions with Australia’s top analytic leaders on topics that matter today and tomorrow for anyone working in data science or analytics.
Book out your mornings on 17 and 18 November and join the rest of the analytics community to hear from global and local experts and share perspectives with like-minded peers.