Applying AI & Machine Learning To Finance & Technology

Applying AI & Machine Learning To Finance & Technology
When: 1 Dec 2023 Where: 55 Water St, New York, NY 10041, USA 17 Speakers Where to register: www.datascience.salon

Data Science Salon NYC is an annual one-day 150 person conference focused on AI and machine learning applications in finance & technology. The intimate event takes place at S&P Global Ratings in New York, NY and brings local industry leaders and specialists face-to-face to educate each other on innovative solutions in artificial intelligence, machine learning, predictive analytics and acceptance around best practices. You will see a mix of use-cases, technical talks and panel conversations, and you will walk away with actionable insights from those working on the frontlines of machine learning in finance & technology. All sessions are livestreamed, where another 1K+ attendees tune in virtually.

Speakers

Moody Hadi
Head of Credit Analytics New Product Development at S&P Global
Supreet Kaur
AI Product Manager@MorganStanley
Hariom Tatsat
VP, Barclays
Emily Riederer
Senior Manager of Analytics & Data Science at Capital One
Chong Dang
Lead Machine Learning Engineer at Freddie Mac
Harry Mendell
Data Architect Technology Group at Federal Reserve Bank of New York
David Talby
Rima Chaudhuri
Lead Data Scientist at Finder
Amit Moran
VP Data at BlueVine
Iro Tasitsiomi
Head of Investments Data Science at T. Rowe Price
Sreya Francis
Head of Technical Innovation at Farm Mutual Re
Jhonathan Shaikh
Executive Manager at Granth Thornton International
Jayeeta Putatunda
Senior Data Scientist, Manager – Core Operations at Fitch Ratings
Elena Ferri
Global Analytics and Data Science Leader
Saraansh Arya
Lead Data Scientist at S&P Global
Ben Clayman
Engineering Manager, Square Checking
Erin Stanton
Global Head of Portfolio and Trading Analytic Client Support at Virtu Financial

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