BigData, AllData, Old Data: Predictive Analytics in a Changing Data Landscape to Big Data, All Data, Old Data: Predictive Analytics in a Changing Data Landscape

Dr Usama Fayyad
Chief Data Officer of Barclay’s Bank, UK
Abstract
The landscape of the platform, access methodologies, shapes, and storage representations has changed dramatically. Much of the assumptions of a structured data world dominated by relational databases have been rendered obsolete. Today’s data analyst faces big challenges and a bewildering environment of technologies and challenges involving semi-structured and unstructured data with access methodologies that have almost no relation to the past. This talk will cover issues and challenges in how to make the benefits of advanced analytics fit within the application environment. The requirement for Real-time data streaming and in situ data mining is stronger than ever. We demonstrate how many of the critical problems remain open with much opportunity for innovative solutions to play a huge enabling role. This opportunity makes Data Science and several related fields critical to almost all future analytical tasks.
Bio
USAMA M. FAYYAD
usama@fayyad.com (www.fayyad.com)Usama M. Fayyad, Ph.D. is Chief Data Officer and Group Managing Director at Barclays in London where his responsibilities include data governance, information risk management and the data infrastructure for BI, data warehousing, BigData and analytics technologies across the Barclays Group globally.

He is also Chairman of Oasis500 in Jordan following his appointment in 2010 by King Abdullah II of Jordan to be the founding Executive Chairman. Oasis500 a tech startup investment fund that runs an accelerator, entrepreneurship training program, and angel investment network that aims to fund 500 Internet and Technology startups in the MENA Region.

Up until September 2008, Fayyad was based in Sunnyvale, CA as Yahoo!’s chief data officer & Executive VP 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. He was the industry’s first Chief Data Officer. Under his EVP role, Fayyad also founded and managed the Yahoo! Research Labs organization with offices around the world to develop the new sciences of the Internet, on-line marketing, Microeconomics, and algorithmic Advertising. At Yahoo! he applied Big Data techniques to content and advertising targeting and built the world’s largest group of data scientist – helping Yahoo! grow its revenues from user targeting by 20 times in 4 years. After Yahoo! and prior to Barclays he founded Open Insights, LLC a data strategy, technology and consulting firm based in Bellevue, WA to help enterprises understand data strategy and deploy data-driven solutions that effectively and dramatically grow revenue and competitive advantages.

In 2003 Fayyad co-founded and led the DMX Group, a data mining and data strategy consulting and technology company that was specializing in BigData Analytics major projects with some of the Fortune 500 clients. DMX Group was acquired by Yahoo! in 2004. In early 2000, he co-founded and served as CEO of Audience Science (digiMine, Inc.), a venture backed company addressing hosted business analytics and leading the market in targeted advertising.

From 1995 to 2000, Fayyad was at Microsoft in Redmond, WA where he led the data mining and exploration group at Microsoft Research and headed the data mining products group 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 Big Data in scientific applications gathered from observatories, remote-sensing platforms and spacecraft garnered him the top research excellence award that Caltech awards to JPL scientists – The Lew Allen Award for Excellence in Research, 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, Artificial Intelligence, machine learning, and databases. He 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 continues to be active in the academic community serving at Chairman of ACM’s SIGKDD Executive Committee which runs the world’s premiere data science, big data, and data mining conferences: the KDD international annual conferences. He is a recipient of the ACM SIGKDD Innovation Award (2007) and Service Award (2003) – the only person to receive both awards.