AI Summit New York

December 7-8, 2022

Javits Center, 655 West 34th St., New York

Discover DataRobot at AI Summit New York

Taking place in the nexus of global commerce, the AI Summit New York is your chance to meet the ecosystem’s pioneering tech authorities and get exclusive access to the business leaders driving them.

Discover DataRobot at AI Summit New York

Wednesday, December 7, 2022 – 9:00 AM – 5:00 PM EST

Thursday, December 8, 2022 – 9:00 AM – 4:30 PM ESTJavits Center, Booth # 209

Agenda

DEC
7

12:00 PM – 12:25 PM EST

Finance Stage

Unleash the power of AI from research to model adoption by leveraging DataRobot

The digitalization of the Finance Industry has exploded. In a sea of unstructured and semi-structured data, there are new challenges in achieving meaningful predictions and key driver insights to inform business decisions. What’s more, all paths to try and identify the right signals are not always apparent. It takes a lot of experimentation and problem-framing approaches, but traditional frameworks make it difficult and expensive, especially at scale. Attend this session with Freddie Mac to learn how they’ve modernized their AI and ML infrastructure to be able to shrink the MLDev and deployment cycle, to rapidly deliver meaningful value to the business.

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Balaji Wooputur
Balaji Wooputur

Senior Director, Quantitative Analytics, Freddie Mac

DEC
8

10:30 AM – 10:55 AM EST

AI at Scale Stage

How to Overcome Obstacles to AI Scaling and Transformation

AI/ML leaders have been given mandates to rapidly scale their organizations. But most organizations do not have the infrastructure necessary to support these efforts. Attend this session with DataRobot to learn how to assess your current architectural needs, determine where to focus your team’s efforts within the AI/ML value chain, and engage in change management as you scale AI/ML across your organization.

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Jean Roberts
Jean Roberts

Field CTO, Financial Markets, DataRobot

DEC
8

11:15 AM – 11:30 AM EST

Booth #209

Improving Anti-Money Laundering Programs With Machine Learning

Compliance organizations within banks and other financial institutions rely on ML to improve AML compliance programs. Today, the systems that aim to detect potentially suspicious activity are commonly rule-based and suffer from ultra-high false positive rates. In this Demo, Atalia Horenshtien will demonstrate how to address this challenge with the DataRobot AI platform.
Join us at booth 209 to learn:
– How to reduce false positive rates for AML use cases
– How to develop and refresh AML predictive models in a timely manner with explainability and insights
– How to deploy more accurate models, operationalize and govern AML models at scale

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Atalia Horenshtien
Atalia Horenshtien

AI/ML Lead – Americas Channels, DataRobot

Helping the World Make Better Decisions, Faster

Helping the World Make Better Decisions, Faster

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