[AISWorld] Big Data 'TED-like' talks for pre-ICIS BI Congress and SIM Academic (MISQE) Workshop Members

Wixom, Barbara bwixom at comm.virginia.edu
Mon Nov 12 14:02:26 EST 2012


We are pleased to present the speakers for the upcoming pre-ICIS 'TED-like' talks - for attendees of both the BI Congress 3 AND the SIM Academic workshop on Saturday, December 15 from 3pm - 5:30pm at the conference venue (Room TBA).

Deloitte, IBM, SAS, and Teradata are hosting four thought leaders, who will present 20-minute inspirational talks on the topic of Big Data, each followed by 10 minutes of Q&A.

Deloitte - David Steier - The insight economy: Big Data matters - except when it doesn't
David Steier is a Director at Deloitte LLP, where he leads the Deloitte Analytics Solution Group. David and his team have developed numerous solutions applying advanced analytics, primarily for the financial services, health care and retail industries. Most recently, David has been helping to develop Deloitte's point of view around making Big Data work in the enterprise. David is Deloitte's designated "Technology Black Belt" in Unstructured Analytics.  Prior to joining Deloitte, David was director of the Center for Advanced Research at PricewaterhouseCoopers (PwC). David's research interests are in applications of artificial intelligence, especially data mining and machine learning. He has authored and co-authored numerous publications and presentations, including two books, a dozen journal papers, and a dozen conference papers and workshop presentations. David holds a PhD in computer science from Carnegie Mellon (where he served on the research faculty for three years after getting his doctorate) and a BS in computer science from Purdue University.

IBM - Harriet Fryman - Along Comes Big Data: Why your traditional analytics might not be enough
Harriet Fryman is Director of Market Strategy for IBM Business Analytics focused on the business intelligence portfolio. This portfolio of Cognos Software spans dashboards and scorecards, reporting and analysis, real-time monitoring and what-if analysis, as well as collaborative and mobile BI.  Harriet is a 25 year veteran in the BI market, including 8 years in professional services on customer implementations. She is spokesperson and writer on emerging trends including Big Data Analytics, Cloud, and BI convergence with Social Software. Her passion is helping clients balance the analytic freedom they want with the management and control they need so they can harness the value of information to drive better business outcomes.

SAS - Manoj Chari - Some Hard Analytics Problems on Big Data
Manoj Chari is Senior R&D Director for Operations Research in the Advanced Analytics R&D Division at SAS Institute in Cary, NC. His department is responsible for development and support of the SAS/OR product, which comprises a broad portfolio of software tools for optimization, simulation and project management. In addition, his team supports specialized OR based algorithms for SAS customer intelligence, supply chain and industry-specific business solutions. A recent addition to his department is a services group that supports SAS customers with advanced OR modeling and algorithmic expertise. Prior to joining SAS in 2003, he spent over a decade in academic research and teaching. He has a Ph.D. in Operations Research from the University of North Carolina at Chapel Hill, USA

Teradata - Bill Franks - Cutting Through the Hype of Big Data
Bill Franks is Chief Analytics Officer for Teradata's global alliance programs, providing insight on trends in the Advanced Analytics space and helping clients understand how Teradata and its analytic partners can support their efforts. In addition, Bill is a faculty member of the International Institute for Analytics and the author of the book 'Taming The Big Data Tidal Wave' (John Wiley & Sons, Inc., April, 2012). He is also an active speaker and blogger. Bill's focus has always been to help translate complex analytics into terms that business users can understand and to then help an organization implement the results effectively within their processes. His work has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations. Bill earned a Bachelor's degree in Applied Statistics from Virginia Tech and a Master's degree in Applied Statistics from North Carolina State University.

Note: The talks will be recorded and made available through the vendors' academic alliance programs.

More information on the BI Congress may be found at: http://www2.commerce.virginia.edu/bic3/index.asp

Also, please let us know about big data (and analytics/business intelligence) at your university: http://www2.commerce.virginia.edu/bic3/communications.asp

We send a very special thank you to IBM, SAS and Teradata as our platinum sponsors. We also are grateful to Deloitte, NetApp, MicroStrategy, Tableau, University of Arkansas' Enterprise Systems Program, University of Arkansas' Professional Master of Information Systems (PMIS) Program, University of Virginia's McIntire School of Commerce, Loyola University Maryland, Stevens Institute of Technology, and Decision Sciences Institute for supporting the BI Congress 3!

Thank you,
BI Congress Program Chairs and Program Committee
http://www2.commerce.virginia.edu/bic3/committees.asp
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