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The
In-Database Miner's Toolkit - Oracle SQL and Data Mining APIs
Ramkumar Krishnan 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. ______ Ramkumar (Ram)
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. 11/28/07 |