Deliver Business Insights Faster with Enterprise Data Preparation

Available Now On Demand
Already registered? Click here to access the on demand.

Businesses depend on timely data insights to stay competitive. But DataOps teams typically have to spend 80% of their time on AI/ML and data science initiatives just getting data ready for use. Discover how to flip the 80/20 rule with “Accelerate AI/ML and Data Science Projects with AI-Powered Modern Data Prep.”

Explore how Informatica Enterprise Data Preparation—powered by the Informatica® CLAIRE® engine, the industry’s first metadata-driven AI—enables:

  • DataOps teams to quickly find, prepare, cleanse, and enrich data
  • An end-to-end approach to data preparation for data science projects across multi-cloud architectures
  • Unified data ingestion, cataloging, metadata management, data quality, data security, and operationalization capabilities, all powered by AI-enabled automation

Speakers:

Preetam Kumar, Product Marketing Manager, Enterprise Data Preparation, Informatica

Paul Siddall, Next Gen Analytics Product Specialist

 

Please complete the form below to watch this webinar

All fields are required.

Informatica will use data provided here in accordance with our privacy policy.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Please complete the form below to watch this webinar

All fields are required.

Not Me
Informatica will use data provided here in accordance with our privacy policy.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Please complete the form below to watch this webinar

All fields are required.

Not Me
Informatica will use data provided here in accordance with our privacy policy.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

25 years of trusted relationships

Our customers are our number-one priority—across products, services, and support. That’s why we’ve earned top marks in customer loyalty for 12 years in a row.