John Ashley currently leads the Global Financial Services Industry Strategy team at NVIDIA. His team focuses on global trends and directions in accelerated compute and AI for the entire sector – from hedge funds, fintech, banking, and insurance. NVIDIA supports customers and partners in their adoption of accelerated computing and AI/ML techniques to improve time to insight, enable expanded analytics around risk and fraud, and dive deep into customer data to address key business problems.
He also started and led the Professional Services Deep Learning Practice for NVIDIA and the NVIDIA Deep Learning Professional Services Partner program; managed the relationship with IBM’s Software and Cognitive groups, was a Senior Solutions Architect covering Financial Services based in New York and then London, and supported NVIDIA’s work with the Square Kilometer Array radio astronomy programs. He holds a doctorate in Computational Sciences and Informatics, and both BS and MS degrees in Electrical Engineering. His past work experience can best be described as varied – he has been a data scientist , project manager, systems architect, DBA, and developer – working in vendor, consulting, and end user firms in utilities, government, and finance. He holds a US Patent in predictive analytics.
Panel discussion on the realistic use cases of ML processes within financial markets – how to separate fad from reality and utilise Machine Learning effectively.
Exciting progress in AI for natural language has been made in the past year. Models that work with language in context are demonstrating human or better level ability to respond to questions and process language. NVIDIA will cover the key moment that spurred this progress, and talk about how it can be applied across the industry to provide richer information to discretionary or systematic trading.
They will talk about how these advances can be used to provide new information for risk analytics, and how firms are starting to leverage these models to improve the customer service experience.
You will leave with an understanding of what changed, why it matters, and how you can get started leveraging this for your own problems.