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Developing Data & AI Products

Key Takeaways:
  • Learn what constitutes a good data or AI product.
  • Learn how to create a data product strategy that aligns with your business strategy.
  • Understand technical and cultural best practices for achieving product success.
Thursday, August 08 11AM ET
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Description

To increase the impact of data, you need people beyond the data team - whether other employees or customers - to make use of it. That means moving from data analyses to data products. These can include product search engines, recommendation systems, fraud detection tools, and supply chain management tools.

In this session, Sagar, SVP of Enterprise Sales and Solutions at The Modern Data Company, and Logan, Associate Director at Moody's Analytics teach you why, when, and how to create and manage data and AI products. You'll learn how to get started with high-impact projects, how to align the product strategy with business strategy, and how to architect your product.

Presenter Bio

Sagar Paul Headshot
Sagar PaulSVP of Enterprise Sales and Solutions at The Modern Data Company

Sagar helps enterprises with sales and go-to-market strategy for their data products. He has 30 years of experience across sales, product, and data engineering. Sagar is on a mission to bring product thinking to the world of data and drive productivity gains for technologists and businesses. Previously he was Director & Global Head of Solutions at ThoughtWorks, and Global Leader of Client Engagement at Mu Sigma.

Logan Clark Headshot
Logan ClarkAssociate Director at Moody's Analytics

Logan runs Moody's initiatives in creating AI products to provide access to financial risk solutions as a service. He has extensive experience in developing and implementing financial models for banks, and international economic development. Previously he was a Senior Consultant at EY and an Impact Evaluation Specialist at the International Finance Corporation.

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