On-demand WEBINAR PANEL

How to leverage AI for BI at scale

Michael Gregory
Field CTO Lead for Data Science and Machine Learning
Abhishek Singh
Senior Machine Learning Engineer
Dave Mariani
Chief Technology Officer, Founder
Your Moderator

Learn how to harness the power of AI for BI, democratize data, and improve analytics at scale.

Now available on-demand!

Join data and analytics leaders and strategists for a panel discussion on leveraging data science and machine learning predictions in BI, democratizing analysis-ready data and new possibilities with data science for BI initiatives. 

Our featured speakers will share practical guidance and examples on how to build a data infrastructure and analytics architecture to harness the power of AI for business use cases at scale. You will hear best practices for leveraging data gravity to move machine learning models closer to the business and better monetize the impact of machine learning predictions within BI programs.

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In this webinar

You will learn about:

  • Considerations BI organizations need to address before they adopt AI and machine learning
  • Reducing data prep and eliminating data silos between Data Science and BI teams
  • Creating governed and consistent access to features, predictions, numerics, categoricals, hierarchies, dimensions and measures
  • How to operationalize data science by publishing model results to BI consumers through the semantic layer
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Who should watch

AI & BI leaders and practitioners (e.g., Chief Data Officers, data scientists, data engineering, business intelligence, and analytics professionals) looking to bridge the gap between data science and BI workloads and to harness the power of AI for BI at scale.

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Speakers
Michael Gregory
Field CTO Lead for Data Science and Machine Learning
Snowflake

Michael Gregory is the tech lead for the machine learning team in the Field CTO office at Snowflake where he helps organizations leverage the power of Snowflake to build mature, enterprise-grade data science and machine learning capabilities.  Prior to joining Snowflake Michael held leadership positions in AI and ML go-to-market at Amazon Web Services and Cloudera and has deep experience in bringing ML products to market and building high-powered technical sales teams.  Michael leverages more than 20 years of experience (including Sun Microsystems, Oracle, and Teradata) in designing, building, selling, and architecting data and analytics solutions to help organizations leverage the power of data to build communities.

Abhishek Singh
Senior Machine Learning Engineer
Cardinal Health

Abhishek is a Senior Machine Learning Engineer at Cardinal Health, where he leads a team of engineers and data scientists working on price optimization and entity resolution problems. His work focuses on the end-to-end design and development of AI solutions using deep learning. Abhishek is also a steering committee member of organizations in Cardinal Health that focus on democratizing data science and upskilling employees.

Dave Mariani
Chief Technology Officer, Founder
AtScale

Dave is the founder of AtScale and is the Chief Strategy Officer. Prior to AtScale, he was VP of Engineering at Klout & at Yahoo! where he built the world’s largest multi-dimensional cube for BI on Hadoop. Mariani is a Big Data visionary & serial entrepreneur.