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Research Governance & Steering Parties

Initiative for Analytics and Data Science Standards (IADSS)

As the role of data science and analytics is expanding very rapidly in creating new business models or changing existing ones, the demand for analytics professionals is growing at an increasing rate. However, almost every company in the industry has a unique way of defining roles and assigning titles in data analytics related positions which have resulted in a chaotic market that is confusing to employers, academic and training institutions, and candidates; with a large number of unqualified candidates calling themselves “data scientist”, “data architect”, “data engineer” or “analytics professional”.

 

In order to address this, Initiative for Analytics and Data Science Standards (IADSS) has been launched and has kicked-off a global scale research study. This study aims to gain insight into the analytics profession in the industry and help support the development of standards regarding analytics role definitions, required skills and, career advancement paths.

 

Initiative for Analytics and Data Science Standards (IADSS) will rely on the expertise of academicians and industry experts in the data world to ensure defined standards are academically sound and rooted in industry realities.

 

IADSS will also work to create awareness and promote data science & analytics standards globally.

Research Governance Structure

Co-Founders

Usama M. Fayyad, Ph.D.

 

Usama serves as founder/CEO of Open Insights (founded in 2008) where he works with large and small enterprises on Artificial Intelligence/Machine Learning, BigData strategy, and launching new business models based on Data Assets: Most recently serving as Interim CTO for Stella.AI, a VC-funded startup in AI for HR/recruiting; and Interim COTO of MTN2.0 – helping develop new revenue streams in mobile payments/MFS and Data-as-a-Service businesses at MTN, Africa’s largest mobile operator.

 

Usama was the first Global Chief Data Officer & Group Managing Director at Barclays in London (2013-2016) where he also took on additional role as CIO of Risk, Finance & Treasury Technology in 2015. From 2010-2013 Usama was the co-founder of OASIS-500, a tech startup investment fund, following his appointment as Founding Executive Chairman in 2010 by King Abdullah II of Jordan.  Up until joining Barclays in 2013, he was also Chairman, Co-Founder and Chief Technology Officer of Blue Kangaroo Corp building a mobile search engine service for offers personalization and activation based in Silicon Valley. His background includes Chairman/CEO roles at several startups, including DMX Group (acquired by Yahoo!) and digiMine (Audience Science) which was founded in 2000 in Seattle to build hosted data warehousing and data mining solutions for Fortune 500 companies. 

 

He was the first person ever to hold the Chief Data Officer (CDO) title when Yahoo! acquired his second startup in 2004. In addition to CDO, he was also the Executive VP of Research and Strategic Data Solutions where he was running Yahoo!'s global data strategy, architecting its data policies and systems, and managing its data analytics and data processing infrastructure. The data teams he built at Yahoo! collected, managed, and processed over 25 terabytes of data per day, and drove a major part of ad targeting revenue and data insights businesses globally. He also founded Yahoo! Research Labs where much of the early work on BigData made it open source and established the early collaborations that launched Hadoop and other open source contributions.

 

Usama held leadership roles at Microsoft (1996-2000) and founded the machine learning systems group at NASA's Jet Propulsion Laboratory (1989-1995), where his work on machine learning resulted in the top Excellence in Research award from Caltech, and a U.S. Government medal from NASA. 

 

Usama earned his Ph.D. in engineering in AI/Machine Learning from the University of Michigan. He holds two BSE’s in Engineering, MSE Computer Engineering and M.Sc. in Mathematics. He has published over 100 technical articles on data mining, data science, AI/ML, and databases; and holds over 30 patents, is a Fellow of the Association for Advancement of Artificial Intelligence (AAAI) and a Fellow of the Association of Computing Machinery (ACM). He is active in the academic community with several adjunct professor posts and is the only person to receive both the ACM’s SIGKDD Innovation Award (2007) and Service Award (2003). He has edited two influential books on data mining and served as editor-in-chief on two key industry journals. He is an active angel investor and advisor in many early-stage tech startups across the U.S., Europe and the Middle East. He served on the boards or advisory boards of several private and public companies including Criteo, Invensense, RapidMiner, Stella.AI, Martini Media, Virsec, Silniva, Abe.AI, Medio, NetSeer, Choicestream, and others. On the academic front, he is on advisory boards of the Data Science Institute at Imperial College, AAI at UTS, and The University of Michigan College of Engineering.

Hamit Hamutcu

 

Hamit has over 20 years of industry and consulting experience in the areas of analytics, customer relationship management and marketing strategies driven by data. He is a co-Founder of Analytics Center, a company focused on the use of data and analytics in business as well as an advisor or investor in several analytics related initiatives that work in developing vertical machine learning solutions for industries such as advertising and e-commerce.

 

Hamit was a Founding Partner for EMEA offices of Peppers & Rogers Group, the leading customer-led business strategy consulting firm based in the U.S. He then led the development of the firm in the region by serving clients across the Middle East, Africa and Europe. He also worked as a Partner for the firm’s US office heading up its global Analytics group. In this capacity he oversaw the growth of the analytics practice and helped his clients develop analytics functions, build data infrastructure and deploy analytical models to support business goals.

 

His industry experience includes several positions within Federal Express in Memphis in marketing analytics, and technology where he led IT and business teams to leverage the enormous amount of data the company generated to serve its customers better.

 

Hamit is also a frequent speaker, writer and board member at various start-ups and non-profit organizations. He earned his B.Sc. degree in Electronics Engineering at Bogazici University in Istanbul and his MBA degree at the University of Florida.

Advisory Board Members

Amy Shi-Nash
HSBC, Global Head of Analytics and Data Science
David Hand
Imperial College, Professor of Mathematics
Deepak Agarwal
LinkedIn, VP of Artificial Intelligence
Greg Makowski
Foghorn Systems, Head of Data Science Systems
Jeannette Wing
The Data Science Institute, Avanessians Director
Kamelia Aryafar
Overstock.com, Chief Algorithms Officer
Kate Strachnyi
Advisor & Author of The Disruptors: Data Science Leaders
Kirk Borne
Booz Allen Hamilton, Principal Data Scientist and Executive Advisor
Kjersten Moody
State Farm, Chief Data and Analytics Officer
Munther Dahleh
Professor at MIT and Owner, Infolenz
Nuria Oliver
Vodafone, Director of Research in Data Science
Rajesh Parekh
Google, Engineering Director
Rayid Ghani
Center for Data Science & Public Policy, Director
Tom Davenport
Babson College, Professor
Yael Garten
Siri Data Science & Engineering, Director
Yasaman Hadjibashi
Citi Bank, Global Head of Data
Ying Li
Giving Tech Labs, Chief Scientist
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Community Partners

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Digital Community Partners

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Supported by

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  • LinkedIn - Black Circle
  • Twitter - Black Circle
  • YouTube - Black Circle

© 2019 by IADSS