Predictive Analytics World was probably the best analytics conference I have attended, from a knowledge point of view, in a long time.
I am really excited and energized by both the actual presentations and also, without doubt, the depth of people attending. I was present at the following sessions:
- Five Ways to lower costs with Predictive Analytics, by Eric Siegel
- Identifying Fraud with Predictive Analytics, by David McMichael
- New Challenges in Predictive Analytics, by Usama Fayyad
- Netflix. Advanced Approached for Recommender System, by Andreas Toscher
- Netflix. Visualizations, by Todd Holloway
- Models versus large amounts of Raw Data, by Anand Rajaraman
The biggest direct output of this conference, for me, was the viewpoint and attitude on problem solving for how we at Yahoo! could move closer to our goal of actually provide real Recommendations within our Yahoo! Web Analytics reporting interface. I was also honestly inspired by the, quite obvious yet powerful, idea of Raw Data winning over Models, that Anand presented, which is great food for thought.
As a final point and as icing on the cake, it was of great value having the opportunity to network with SMART people like Markus Frind the CEO from Plentyoffish, Dan Steinberg the CEO of Salford Systems, Nachum Shacham from the algorithms group at efficient frontier, Anand Rajaraman the founder of Kosmix (which is actually a really cool search), David Rogers the senior web analytics researcher at PayPal, Madhu Shashanka research scientist from MARS, Ross Kaplan the principal Systems Engineer from SAS, John Liu associate Director of Analytics at Merkle, Brad Terrell the GM of Netezza… and all those bright folks that I forgot to mention.
To conclude, Predictive Analytics World turned into my new must-go-to conference, especially for those of us who attended Emetrics over the last couple of years and are looking for a positive and perhaps a bit more hardcore supplement! :-)
That said. Great work Matthew and see you at Emetrics in San Jose in May.
Cheers
Dennis
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