ON-DEMAND WEBINAR PANEL

How to Make AI & BI Work at Scale

FEATURED SPEAKERS | DATA & ANALYTICS LEADERS
Ben Taylor Headshot, Chief Ai Evangelist At Datarobot
Jepson Taylor

Chief AI Strategist at Dataiku
Buoy Health
Greg Joondeph-Breidbart

CTO at Buoy Health

Daniel Gray
Daniel Gray

VP, Solutions Engineering at AtScale
Dave Mariani headshot
Dave Mariani

Chief Technology Officer, Founder, AtScale

Your Moderator

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Learn how to bridge the gap between BI users and data science teams with advice from leading AI & BI technologists.
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Now available on-demand!

Join leading technologists from DataRobot, Buoy Health, and AtScale for a panel on how to unlock the power of data and analytics for everyone, foster more self-service and greater data science literacy, and generate a better return on data science investments.

Our panelists will share practical guidance and examples on how the unification of BI and data science adds AI-enhanced data to the semantic layer, providing the same insights across the consumer spectrum, regardless of the tool used. You’ll learn how to amplify the effect of the data science team by sharing their work with a wider audience and providing that audience with the ability to deliver feedback on the quality and utility of their predictions.

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In this webinar

You will learn about:

  • Implementing the right processes and tools to democratize data and empower individuals to utilize data through self-service analytics.
  • Major differences between Augmented Intelligence vs. Artificial Intelligence
  • Delivering Augmented Intelligence to a broader audience by publishing the results of data science programs through existing BI channels.
  • Feeding data science models results back into the semantic layer to consume predictive insights alongside historical data.
  • Laying a scalable foundation for AI & BI with your data architecture
  • Gaining speed of thought query performance and consistent KPIs across all of their BI/AI tools
  • Leveraging live data connections to cloud data platforms while achieving better query performance, concurrency, cost management, and queriability.
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Who should watch

AI, BI, and Data leaders (e.g., Chief Data Officers, data scientists, data literacy, business intelligence, and analytics professionals) looking to make AI & BI work at scale.