Recorded Webinar: Managing unstructured data and extracting value3 December 2020
Unstructured data offers untapped potential but the platforms, tools and technologies to support it are nascent, often deployed for a specific problem with little reuse of common technologies from application to application. What are the challenges of managing and analysing this data and what are the considerations when making investments in this area?
Data quality, consistency and security are crucial in today’s markets. Regulatory compliance and maximising business benefits are no longer optional. This webinar will explore use cases of managing unstructured data. Find out how to use cloud and machine learning tools to navigate the associated challenges; and how to maximise business benefits while maintaining regulatory compliance.
- Explore unstructured data and its use cases
- Examine challenges of integrating and analysing unstructured data; increasing use of machine learning in specific cases
- Discuss managing and enriching unstructured data, how to tag unstructured data and use cognitive search tools for analysis and linking data from different sources
- Understand the business benefits of harnessing unstructured data
More about our speakers:
Gurraj Singh Sangha
Chief Quantitative Investment Officer
Mr. Sangha is the former Global Head of Data Science , Risk, and Market Intelligence for State Street Verus where he helped lead a risk and investment strategy team for an artificial intelligence platform that integrates machine learning, natural language processing, portfolio and risk management, and human experiences to explore connections and extract relevant insights between market-moving events and multi-asset class portfolios. Mr. Sangha is an accomplished global macro portfolio manager, strategist, and risk manager, with over 20 years’ experience. He has advised firms on developing quantamental approaches to trading — strategies at the intersection of structural, statistical, and fundamental trading, utilizing data science, machine learning on both structured and unstructured data, and behavioral analytics. Further, he has led several investment strategy and risk management teams and held a number of senior positions, including Chief Investment Strategist at a $6 billion global macro volatility hedge fund, and Senior Global Macro Trader at a $400 million hedge fund. Mr. Sangha began his career at Goldman, Sachs & Co.,in the Global Investment Research Division. He received honors at the International Mathematics Olympiad, served on the Canadian Mathematics Olympic Team, and is a Magna Cum Laude graduate of Brown University.
Dr. Edward M. L. Peters
Chief Innovation Officer
Dr. Edward M. L. Peters is an award-winning executive and technology entrepreneur. He is currently Chief Innovation Officer at Panzura, LLC, in San Jose, CA where he leads product management, product engineering, QA and infrastructure. Prior to Panzura, he led Data Discovery Sciences, a consulting and services company based in Dallas, TX that specializes in discovering and analyzing data to drive cyber-threat identification, data science/predictive analytics and AI-based intelligent automation efforts.
He has also led several companies including Data Direct Technologies (acquired by Progress Software), which became the world-wide market leader in standards-based data connectivity, and OpenConnect Systems (acquired by ActiveOps), which became an early leader in automated business process discovery and robotic process automation. He is an inventor of Automated Business Process Discovery (U.S. Patent 8533743) and has been the recipient of numerous awards including the Maryland Tech Council Entrepreneur of the Year in 2004 and Ernst and Young, Entrepreneur of the Year, Regional Finalist in 2003 and 2004 (Baltimore – Washington Region) and 2008, (Dallas Region).
CTO; Chief Technology Officer
Rich Hale is the Chief Technology Officer of ActiveNav where he focuses on developing their market leading File Analysis software. He is a product and information evangelist, with experience hard won through many years’ developing information governance programs in enterprise and government agencies.
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