Algorithms on big data are driving big value in companies and organizations in every aspect. Marketing, Customer Success, Product Management, Operations, you name it; there are new ways to use data to create opportunity. The only problem is that there are only a handful of people who can build, customize, and apply these algorithms to the business. Fortunately, Havas Media found a novel approach to support over 1200 data practitioners to enable all aspects of their world wide marketing agency producing $2 Billion in revenue last year.
Please join Steven Hillion, Alpine Chief Product Officer, and Joel Horwitz, Alpine Head of Product Marketing, as they share the story of how to take advanced analytics out of the "black box" and into the hands of every decision maker in your organization.
Attend this webcast and learn:
- How to create a collaborative analytics environment at scale and accessible anywhere.
- What are the key areas to focus on and what are the common mistakes to avoid.
- How to take the "guessing" out of building repeatable predictive analytics models.
By attending this event, you'll receive a complimentary 30-minute consultation with our experienced data science team.
This is an exclusive event, with limited seating. Reserve your seat today.
About Steven Hillion
Steven Hillion is Chief Product Officer at Alpine Data Labs, developing a web-based collaborative platform for advanced analytics on Big Data and Hadoop. Before joining Alpine, he founded the analytics group at Greenplum, leading a team of data scientists and also designing and developing new open-source and enterprise analytics software. At M-Factor (acquired by DemandTec) he built patented analytical applications that became a global standard for demand modeling at companies like Coca-Cola. At Kana Communications, Steven led the engineering group during the two largest releases of its flagship product. At Scopus (later Siebel Systems) he co-founded development groups for finance, telecom and other verticals. Steven received his Ph.D. in mathematics from the University of California, Berkeley, and was a King Charles I Scholar at Oxford University.
About Joel Horwitz
Joel is a passionate data guru educated in engineering, chemistry, and data science. He combined these disciplines to earn a Masters of Science in the area of Nanotechnology from the University of Washington. Later, he earned an International MBA from the University of Pittsburgh, Katz School of Business. He has held a variety of positions in the areas of research and development, product strategy, and analytics. He currently leads the Product Marketing team at Alpine were he creates products to make Data Science with Big Data and Hadoop accessible for humankind.
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