The In-Database Miner's Toolkit - Oracle SQL and Data Mining APIs
The computing industry in 2007 has seen a spate of BI acquisitions
by Oracle, SAP. Much of what the industry terms as BI is oriented
towards retrospective intelligence - it tells you "what was", "what is",
and in niche areas like forecasting or performance management,
"what-if". As the playing field is leveled in this space, companies that complement their efforts at retrospective intelligence with predictive analytics - answering "what could be", "what may be", with automated insight ("did you know this obscure fact about your customers ?")
will have an edge on the competition. Companies aside, at a personal level, if you applied for a credit card or a home loan, you have been touched by this technology.
Oracle Data Mining is a comprehensive In-Database platform for data mining and predictive analytics. This 45 minute talk is a brief, customer- centric introduction to the use of product. The motivation of the talk is to first pique your interest on predictive technologies, and based on the interest level, motivate follow-ups for exploring cross-functional uses of this technology internal to the Database - esp in mission-critical areas like performance, manageability, advisory tools, and unstructured data.
Krishnan is a Principal Member of Technical Staff at Oracle Server
Technologies, and presently a lead engineer in the Oracle Data Mining product
R&D team, based in
Host: Murali Mani
Refreshments will be served.
Maintained by firstname.lastname@example.org