Skip to main content

Collaborative Predictive Analytics: How Sony, Havas, and Aridhia Opened the Black Box.

Bruno Aziza (Alpine Data Labs)
Sponsored
Ballroom H
Average rating: *....
(1.00, 2 ratings)

Many people have come to believe that predictive analytics and machine learning are conducted in a “black box.” As advanced analytics become more strategic to your organization it is becoming increasingly important to expose the full details of the full process from the raw data collection, to transformation, to model creation, scoring, and finally implementation. For this reason, analytics is not easy. With so many stages, it is often error prone, highly complex, and requires a multi-discipline approach.

Learn how to avoid common pitfalls of creating a collaborative predictive analytics environment to enable not only Data Scientists, Business Analysts, or Data Practitioners, but the entire organization.

In this panel discussion, we’ll hear from entertainment, healthcare, and media industry leaders as they discuss their strategy to demystify analytics end to end. We’ll have a question and answer session moderated by Alpine Data Labs.

Panelists include:

Rodrigo Barnes – Chief Technology Officer, Aridhia

Andrew Judson – Director of Data Science, Aridhia

Sylvain LeBorgne- EVP Data Platforms, Havas Media

Charles Speidel – Vice President Research & Innovation Center, Sony

This session is sponsored by Alpine Data Labs

Photo of Bruno Aziza

Bruno Aziza

Chief Marketing Officer, Alpine Data Labs

Bruno Aziza is a Big Data entrepreneur and author. He’s lead Marketing at multiple start-ups and has worked at Microsoft MSFT -1.38%, Apple and BusinessObjects/SAP . One of his startups sold to Symantec in 2008 and two of them have raised tens of millions and experienced triple digit growth. Bruno is currently Chief Marketing Officer at Alpine Data Labs, loves soccer and has lived in France, Germany and the U.K. You can contact him @bruno@alpinenow.com