Rethinking classical approaches to analysis and predictive modeling

Rethinking classical approaches to analysis and predictive modeling
Rethinking classical approaches to analysis and predictive modeling

Synopsis:

The speaker will address the need to rethink classical approaches to analysis and predictive modeling. He will examine “iterative analytics” and extremely fine grained segmentation down to a single customer – ultimately building one model per customer or millions of predictive models delivering on the promise of “segment of one” . The speaker will also address the speed at which all this has to work to maintain a competitive advantage for innovative businesses.

Speaker:

Afshin Goodarzi Chief Analyst 1010data

A veteran of analytics, Goodarzi has led several teams in designing, building and delivering predictive analytics and business analytical products to a diverse set of industries. Prior to joining 1010data, Goodarzi was the Managing Director of Mortgage at Equifax, responsible for the creation of new data products and supporting analytics to the financial industry. Previously, he led the development of various classes of predictive models aimed at the mortgage industry during his tenure at Loan Performance (Core Logic). Earlier on he had worked at BlackRock, the research center for NYNEX (present day Verizon) and Norkom Technologies. Goodarzi’s publications span the fields of data mining, data visualization, optimization and artificial intelligence.

Presentation Video:

Presentation Slideshare:

Sponsor:
1010Data [ http://1010data.com ]
Microsoft NERD [ http://microsoftnewengland.com ]
Cognizeus [ http://cognizeus.com ]

Source by v1shal

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