Analytics Forum
8300 Norman Center Drive, Bloomington, MN 55437-1039
Microsoft: Powerpivot & SQL Server 2008 - Jin Cho
Microsoft: PDW – Parallel Data Warehouse - Sanjay Kaul
University of Minnesota: Digital Technology Center - Cory Devor
Lunch
University of Minnesota: Social Networking - Jaideep Srivastava
3M: Customer Attrition Management - Jean Marie Bertoncelli
Medtronic: Patient Data Management - Luc Mongeon & Kalyan Pamarthy
Target: Challenges of Incremental Sales Modeling in Direct Marketing - Andrew Pole
Lake of the Woods Room 9th Floor
9:00 a.m. – 4:00 p.m.
9:00 a.m. – 9:15 a.m. |
Welcome &
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Lake of the Woods |
9:15 a.m. – 10:00 a.m. |
MicrosoftPowerpivot
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Lake of the Woods |
10:00 a.m. – 10:15 a.m. |
Break |
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10:15 a.m. – 11:00 a.m. |
MicrosoftPDW – Parallel Data Warehouse Sanjay
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Lake of the Woods |
11:00 a.m. – 11:30 a.m. |
University of MinnesotaDigital |
Lake of the Woods |
11:30 a.m. – 12:30 p.m. |
Lunch |
Lake of the Woods |
12:30 p.m. – 1:15 p.m. |
University of MinnesotaSocial |
Lake of the Woods |
1:15 p.m. – 1:45 p.m. |
3MCustomer |
Lake of the Woods |
1:45 p.m. – 2:00 p.m. |
Break |
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2:00 p.m. – 2:30 p.m. |
MedtronicPatient |
Lake of the Woods |
2:30 p.m. – 3:00 p.m. |
TargetChallenges |
Lake of the Woods |
3:00 p.m. – 3:15 p.m. |
Wrap UpRexer TCPA Forum Review, Next Event |
Lake of the Woods |
Jaideep Srivastava will be talking about great applied analytics projects that are underway at the University of Minnesota.
More to come...
8300 Norman Center Drive, Bloomington, MN
The forum will be at the Microsoft offices in Bloomington from 9-4. Registration isn't needed but I should get a more formal process around this in the future.
Jaideep Srivastava is a Professor of Computer Science & Engineering at the University of Minnesota. He has supervised 25 Ph.D. dissertations and 51 MS theses, and has authored/co-authored over 210 papers in journals and conferences. Dr. Srivastava has an active collaboration with the technology industry, both for research and technology transfer, and is an often-invited participant in technical and technology strategy forums. Dr. Srivastava’s industry experience includes heading data mining at Amazon.com, and data warehousing, mining, and reporting at Yodlee. He has provided technology and technology strategy advice to a number of large corporations, including Cargill, United Technologies, IBM, Honeywell, 3M, and Persistent Systems. He has served in an advisory capacity to a number of small companies, including Lancet Software, and Infobionics. Dr. Srivastava is currently on the editorial board of IEEE Transactions on Parallel and Distributed Systems (TPDS), the VLDB Journal, the Knowledge and Information Systems Journal (KAIS), and the World-Wide Web Journal. He has served on the editorial board of the IEEE Transactions on Knowledge and Data Engineering (TKDE), and as a guest editor for the Data Mining & Knowledge Discovery Journal. He has served as Program and Conference Chair for a number of prominent conferences, especially in the area of data mining. Dr. Srivastava has been appointed as the Senior Technology Advisor in the Office of Enterprise Technology (OET) for the State of Minnesota. He has been elected a Fellow of the IEEE, and has been appointed a Distinguished Visitor by the IEEE Computer Society. He has a Ph.D. from the University of California, Berkeley, and bachelors from IIT Kanpur, India.