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Panel Discussion – Production Data Centric AI and What It Means

Posted Sep 30
# datacentricaisummit2022
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SPEAKERS
Chad Sanderson
Chad Sanderson
Chad Sanderson
Head of Product @ Convoy Inc
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Atalia Horenshtien
Atalia Horenshtien
Atalia Horenshtien
Global Technical Product Advocacy Lead @ DataRobot

Atalia Horenshtien is a Global Technical Product Advocacy Lead at DataRobot. She plays a vital role as the lead developer of the DataRobot technical market story and works closely with product, marketing, and sales. As a former Customer Facing Data Scientist at DataRobot, Atalia worked with customers in different industries as a trusted advisor on AI and solved complex data science problems. Whether speaking to customers and partners or presenting at industry events, she helps with advocating the DataRobot story and how to adopt AI/ML across the organization using the DataRobot platform. Some of her speaking sessions on different topics like MLOps, Time Series forecasting, use cases from various verticals in industry events like AI Summit NY, AI Summit Silicon Valley, Marketing AI Conference (MAICON), and partners events such as Snowflake summit, masterclasses, joint webinars and more.

Atalia holds a Bachelor of Science in industrial engineering and management and two Masters—MBA and Business Analytics.

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Atalia Horenshtien is a Global Technical Product Advocacy Lead at DataRobot. She plays a vital role as the lead developer of the DataRobot technical market story and works closely with product, marketing, and sales. As a former Customer Facing Data Scientist at DataRobot, Atalia worked with customers in different industries as a trusted advisor on AI and solved complex data science problems. Whether speaking to customers and partners or presenting at industry events, she helps with advocating the DataRobot story and how to adopt AI/ML across the organization using the DataRobot platform. Some of her speaking sessions on different topics like MLOps, Time Series forecasting, use cases from various verticals in industry events like AI Summit NY, AI Summit Silicon Valley, Marketing AI Conference (MAICON), and partners events such as Snowflake summit, masterclasses, joint webinars and more.

Atalia holds a Bachelor of Science in industrial engineering and management and two Masters—MBA and Business Analytics.

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Fedor Zhdanov
Fedor Zhdanov
Fedor Zhdanov
Head of Machine Learning @ Toloka
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Anupam Datta
Anupam Datta
Anupam Datta
President, Chief Scientist, and cofounder @ TruEra

Anupam Datta is Co-Founder, President, and Chief Scientist of TruEra. He is also Professor of Electrical and Computer Engineering and (by courtesy) Computer Science at Carnegie Mellon University. His research focuses on enabling real-world complex systems to be accountable for their behavior, especially as they pertain to privacy, fairness, and security. His work has helped create foundations and tools for accountable data-driven systems. Specific results include an accountability tool chain for privacy compliance deployed in industry, automated discovery of gender bias in the targeting of job-related online ads, principled tools for explaining decisions of artificial intelligence systems, and monitoring audit logs to ensure privacy compliance.

Datta serves as lead PI of a large NSF project on Accountable Decision Systems, on the Steering Committees of the Conference on Fairness, Accountability, and Transparency in socio-technical systems and the IEEE Computer Security Foundations Symposium, and as an Editor-in-Chief of Foundations and Trends in Privacy and Security. He obtained Ph.D. and M.S. degrees from Stanford University and a B.Tech. from IIT Kharagpur, all in Computer Science.

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Anupam Datta is Co-Founder, President, and Chief Scientist of TruEra. He is also Professor of Electrical and Computer Engineering and (by courtesy) Computer Science at Carnegie Mellon University. His research focuses on enabling real-world complex systems to be accountable for their behavior, especially as they pertain to privacy, fairness, and security. His work has helped create foundations and tools for accountable data-driven systems. Specific results include an accountability tool chain for privacy compliance deployed in industry, automated discovery of gender bias in the targeting of job-related online ads, principled tools for explaining decisions of artificial intelligence systems, and monitoring audit logs to ensure privacy compliance.

Datta serves as lead PI of a large NSF project on Accountable Decision Systems, on the Steering Committees of the Conference on Fairness, Accountability, and Transparency in socio-technical systems and the IEEE Computer Security Foundations Symposium, and as an Editor-in-Chief of Foundations and Trends in Privacy and Security. He obtained Ph.D. and M.S. degrees from Stanford University and a B.Tech. from IIT Kharagpur, all in Computer Science.

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Posted Sep 29 | Views 55
# datacentricaisummit2022