Big Data & Predictive Analytics – Leveraging the New Data Science

Big Data & Predictive Analytics – Leveraging the New Data Science: Applications and Challenges

Date
Monday, January 23, 2012 – 6:30pm – 9:00pm

Venue
LinkedIn
2025 Stierlin Ct.
Mountain View, CA 94043
See map: Google Maps

Speaker: Usama Fayyad

Event Details

Virtually all organizations are having to deal with Big Data in many contexts: marketing, operations, monitoring, performance, and even financial management. Big Data is characterized not just by its size, but by its Velocity and its Variety: a mix of various data types with a large component of which being unstructured or semi-structured, and arriving at rates in which keeping up with the data flux, let alone its analysis, is challenging at best and impossible in many cases. We will then cover many examples of Predictive Analytics over Big Data and clarify the kinds of operations where Map-Reduce (Hadoop and and its derivatives) are appropriate and the situations where other infrastructure is needed to perform segmentation, prediction, analysis, and reporting appropriately. We will draw on several case studies in eCommerce Marketing, on-line publishing and recommendation systems, Advertising targeting as well as offline settings like banking, credit risk, insurance, and retail operations. Special focus will be placed on the analysis of on-line data with applications in Search, Search Marketing, and targeting of advertising. We conclude with some technical challenges as well as the solutions that can be used to these challenges in social network data and how some of these challenges may be addressed.

Speaker Bio

Usama Fayyad, Ph.D. is Chairman & CTO of ChoozOn Corporation, which helps consumers makes sense of the chaos of deals that are overwhelming them today online. Just as people use Facebook to manage their social network, and LinkedIn to get more from their professional network, they use ChoozOn to get the most from their consumer network. Prior to ChoozOn, Fayyad founded Open Insights, a data strategy, technology and consulting firm to help enterprises understand data strategy and deploy data-driven solutions that effectively and dramatically grow revenue and competitive advantages. Up until September 2008, he was Yahoo!’s chief data officer and executive vice president of Research & Strategic Data Solutions. Fayyad was the industry’s first chief data officer, responsible for Yahoo!’s global data strategy, architecting Yahoo!’s data policies and systems, prioritizing data investments, and managing the Company’s data analytics and data processing infrastructure which processed over 25 Terabytes of data per day. Fayyad also founded and managed the Yahoo! Research organization with offices around the world and which became the premier scientific research organization to develop the new sciences of the Internet, on-line marketing, and innovative interactive applications. In 2003 Fayyad co-founded and led the DMX Group, a data mining and data strategy consulting and technology company that was acquired by Yahoo! in 2004. In early 2000, he co-founded and served as CEO of Audience Science (originally digiMine, Inc.), a data analysis and data mining company that built, operated and hosted data warehouses and web analytics for some of the world’s largest enterprises in online publishing, retail, manufacturing, telecommunications and financial services. The company today is the leader in Behavioral Targeting and advertising networks. Fayyad’s professional experience also includes five years spent leading the data mining and exploration group at Microsoft Research and building the data mining products for Microsoft’s server division. From 1989 to 1996 Fayyad held a leadership role at NASA’s Jet Propulsion Laboratory (JPL), where his work in the analysis and exploration of scientific databases gathered from observatories, remote-sensing platforms and spacecraft garnered him the top research excellence award that Caltech awards to JPL scientists, as well as a U.S. Government medal from NASA. Fayyad earned his Ph.D. in engineering from the University of Michigan, Ann Arbor (1991), and also holds BSE’s in both electrical and computer engineering (1984); MSE in computer science and engineering (1986); and M.Sc. in mathematics (1989). He has published over 100 technical articles in the fields of data mining and Artificial Intelligence, holds over 30 patents, is a Fellow of the AAAI (Association for Advancement of Artificial Intelligence) and a Fellow of the ACM (Association of Computing Machinery), has edited two influential books on the data mining and launched and served as editor-in-chief of both the primary scientific journal in the field of data mining (Data Mining and Knowledge Discovery) and the primary newsletter in the technical community published by the ACM: SIGKDD Explorations. He is an active angel investor in the U.S. and in the Middle East. He is part of the U.S. Dept of State Delegation on Entrepreneurship in the Middle East and was recently appointed by King Abdullah II of Jordan to lead the OASIS-500, a Tech Stars model incubator, entrepreneurship training program, and angel network that aims to fund 500 Internet and Technology startups in the next 5 years. For more details on Usama’s background, see his personal web site at: http://www.fayyad.com/usama

https://www.sfbayacm.org/event/big-data-predictive-analytics