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Effectively powering AI use cases across your business requires an integrated approach to enabling the end-to-end ML lifecycle — from data ELT (extract, load, transform) and pipeline automation to machine learning workflows to enabling business teams and decision-makers with intuitive predictive applications.

In this webinar, we will explore how Cloudera Data Platform (CDP) enables fast, secure, and collaborative workflows for data engineers, data scientists, and business users to drive impact across the business.

  • Discover how CDP Data Engineering, Machine Learning, and Data Visualization work together to scale AI use cases

  • Learn how to create explainable predictive applications for decision-makers, powered by automated data pipelines and machine learning models

  • Enable your business to take action with secure and governed end-to-end machine learning with SDX


Senior Manager, Product Marketing MLOps

Santiago Giraldo


Santiago leads product marketing for Cloudera’s production machine learning products. With over 10 years in the data science and analytics software industry, Santiago focuses on enabling businesses to solve complex challenges with novel data strategies and machine learning approaches.

Senior Manager, Product Management, Data Engineering

Shaun Ahmadian


As Senior Product Manager, Shaun leads Cloudera’s data engineering and visualization products. Prior to Cloudera, Shaun was a lead solutions engineer for Arcadia Data, a big data business intelligence company enabling Fortune 500 enterprises with visual analytics and BI capabilities at scale.

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