The document summarizes an upcoming deep learning briefing focused on GPU-accelerated analytics for the financial industry. The event will include breakfast, welcome remarks, presentations on the GPU revolution and real-world use cases of GPU acceleration in analytics by representatives from NVIDIA and Fuzzy Logix. A speaker from Capital One will discuss opportunities for GPU analytics in finance. There will be a Q&A session and lunch networking.

1. DEEP LEARNING BRIEFING
GPU-Accelerated Analytics for the Financial Industry
590 Madison Ave, NYC May 17, 2018 • IBM Briefing Center
9:30AM-10:00AM Breakfast
10:00AM-10:15AM Welcome and Kick-Off
Andrew Soddy
IBM Business Unit Executive
10:15AM-10:45AM The GPU Revolution
Justin Hodgson
NVIDIA, Financial Services Sector
10:45AM-11:30AM “Faster than the Blink of an Eye”
Real World Use Cases in Accelerating Analytics with GPUs
Partha Sen, CEO, Fuzzy Logix
11:30AM-12:00PM Opportunities for GPU Analytics in Finance
Athanassios (Thanos) Kintsakis
Center for Machine Learning, Capital One
12:00PM-12:15PM Q&A and Wrap-Up
Andrew Soddy
12:15PM-1:00PM Lunch and Networking

2. FEATURED SPEAKERS
Justin Hodgson has a Bachelor’s Degree in Business from the City of Birmingham
University in the UK. He has spent his career bringing IT solutions to the Financial
Services Industry, 6 years in London with Dow Jones and Thomson Reuters and 15 years
in New York with Cisco Systems, and the last 2 years with NVIDIA. He works to help
Banks, Insurance Companies and Hedge Funds adopt AI Deep Learning Open Source
Frameworks and benefit from the vast compute power of NVIDIA parallel processing
Semi-Conductors. The Deep Learning industry is in its infancy but the results for early
adopters are extremely powerful. Justin will give production use cases of Deep Learning
in Finance and explain why Deep Learning is a game changing technology.
Justin Hodgson
Senior Account Manager
Financial Services New York NVIDIA
Athanassios (Thanos) Kintsakis works at Capital One Financial at the Center for
Machine Learning, where he is propelling the team’s GPU computing endeavors. His
work includes highly distributed model training and Hyperparameter optimization on
GPUs using TensorFlow. He has previously worked in EU academic research projects and
computer vision company GumGum in Santa Monica, Calif. Thanos is an ECE M.Sc.
graduate and Ph.D. candidate at the Aristotle University of Thessaloniki. A
High-Performance Computing (HPC) enthusiast, Thanos has been selected for multiple
International HPC events where he claimed prestigious awards.Athanassios Kintsakis
Center for Machine Learning,
Capital One
Partha Sen. A passion for solving complex business problems using quantitative
methods, data mining and pattern recognition began as a hobby before leading Partha
Sen to found Fuzzy Logix and develop its flagship product, DB Lytix, in 2007.
Before founding Fuzzy Logix, Partha held senior management positions at Bank of
America where his achievements included leading the initiative to build a quantitative
model driven credit rating methodology for the entire commercial loan portfolio. In the
portfolio strategies group, Partha led a team to devise various strategies for effectively
hedging the credit risk for the bank’s commercial loan portfolio and for minimizing the
impact of mark-to-market volatility of the portfolio of hedging instruments (Credit
Default Swaps, Credit Default Swaptions, and CDS Indexes).
Prior to working at Bank of America, Partha held managerial positions at Ernst and
Young and Tata Consultancy Services. He has a Bachelor of Engineering, with a major in
computer science and a minor in mathematics from the Indian Institute of Technology.
He also has an MBA from Wake Forest University.
Partha Sen
CEO, Fuzzy Logix