Dave Thomas

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Chief Scientist / CSO at First Derivatives, Founder / Organiser of YOW!
 davethomas.net/
 @daveathomas

Dave Thomas, Chief Scientist/CSO, Kx Systems, Co-Founder and past Chairman of Bedarra Research Labs (BRL), creators of the Ivy visual analytics workbench and ACM Distinguished Engineer. Founder and past CEO of Object Technology International (OTI), becoming CEO of IBM OTI Labs after its sale to IBM.

With a unique ability to see the future and translate research into competitive products, he is known for his contributions to Object Technology including IBM VisualAge and Eclipse IDEs, Smalltalk and Java virtual machines.

Dave is a popular, humorous, albeit opinionated keynote speaker with an impressive breadth of business experience and technical depth. He is a thought leader in large-scale software engineering and a founding director of the Agile Alliance.

With close links the R&D community Dave is an adjunct research professor at Carleton University in Canada and held past positions at UQ and QUT in Australia. He has been a business and technical advisor to many technology companies including Kx Systems.

Dave is founder and chairman of the YOW! Australia and Lambda Jam conferences, and is a GOTO Conference Fellow.

YOW! Data 2016 Sydney

Fast Big Data – Enabling Financial Oversight

INVITED TALK –  WATCH VIDEO

For the last decade, there has been increased concern about the integrity of capital markets. The crash of 2008-2009 and follow legal actions and press have created an image of a world of high-frequency traders who can leverage their computer power to manipulate markets. Technical talks on performance which is critical in finance, further characterize finance as hooked on speed/low latency. One gets the impression that fast data leads to a fast buck at public expenses. However, fast big data also enables the good guys!

We discuss how fast big data is being used in the financial industry to ensure good governance and protect consumers and businesses who depend on the integrity of financial markets. We discuss the better decisions enabled by algorithms; improved testing practices for algorithms; oversight of markets through surveillance; protection against cyber threats; and the use of data forensics to tell the true story of transactions past.