The explosion of data has created a challenging new reality for Data and ML Engineers. Up to 50% of an engineer's time is devoted to the discovery, evaluation, and curation of data. Silos in data discovery and observability have added unnecessary complexities to at-scale implementation of AI & ML.
Join Provectus to learn about open data discovery, open-source data discovery and observability platform that enables engineers and data-driven organizations to:
Accelerate the adoption of AI & ML
Build and release robust AI/ML solutions more quickly
Reduce TCO through automation and company-wide metadata democratization
During the webinar, we will discuss how organizations can reduce the time allocated to discovery and evaluation of data, build data pipelines for mission-critical analytical dashboards and ML models, and stay ahead of the curve on black-box data issues.
Can’t make it to the workshop? Register anyway to receive the recording.