Leveraging unstructured data for Operational Intelligence when last minute fixes are 'strategic'
Location:
Legends Ballroom - Robinson-Whitman
Abstract:
There is a wealth of information in unstructured data: e.g. logs, etc. The conventional wisdom is that these are there for debug purposes or for development usage only. However, in the last few years there has been a proliferation of mining tools that allow us to harness the value of that data to the point where it can become a first-class participant in the MIS stack. Moreover, this approach possesses some fundamental advantages relative to its more structured brethren in terms of cost, intrusiveness a release cycle. In this talk, we will look at some techniques as they apply to real-world use-case of a critical system delivery and why we chose to make a temporary fix part of the strategic stack going forward.
Daniel Schwartz is a senior financial services industry professional with 20+ years of full life cycle financial products and technology experience. He has extensive background in risk management, trading, structuring, business strategy, technology and operations across a broad spectrum of fixed income and equity products with an emphasis on risk management, efficiency and innovation in Capital Markets. He leads cross product technology initiatives at RBS in support of the company's derivatives businesses with particular focus on automation. Prior to RBS, he was in the business CTO for FICC at Citigroup with oversight of the division's complete technology budget. He has held technology positions at JPMorgan and trading and research positions at Salomon Inc. Dan attended Columbia College where he earned a BA in Math.