First Open-Source Data Discovery and Observability Platform for ML Engineers
Learn how Data & ML Engineers can handle their data discovery and observability tasks with a new, next-generation solution
On-Demand Webinar
The explosion of data has added unnecessary complexities to at-scale implementation of AI & ML. Request the webinar to learn how First Open-Source Data Discovery and Observability Platform can enable engineers and data-driven organizations to accelerate the adoption of AI & ML; build and release robust AI/ML solutions more quickly; and, reduce TCO through automation and company-wide metadata democratization.
During the webinar, you will look into both challenges and solutions helping organizations reduce the time allocated to discovery and evaluation of data, build data pipelines for analytics and models, and stay ahead of the curve on black-box data issues.
You will learn about:
- Major challenges of modern data teams
- Open Data Discovery 101
- Onboarding with ODD Platform
- Data discovery with ODD Platform
- Data observability with ODD Platform
Speakers:
- German Osin, Senior Solution Architect, Provectus
- Nikita Dementev, Senior Software Engineer, Provectus
- Elena Goydina, Product Manager, Provectus
Who should attend:
- Data Engineers
- Data Scientists & Analysts
- ML Practitioners & ML Engineers
- Technology Executives & Decision Makers
Let’s find out how a next-generation data discovery and observability solution can help Data & ML Engineers succeed in an overly complex data environment!
