Ted Sfikas, Director of Solutions Consultants, North America and LATAM, Tealium
Machine Learning (ML) is a new field, and there is a competitive advantage to those first adopters. Yet, many companies are buying ML technologies and developing strategies before they have taken the appropriate step back to evaluate whether their data is ready or not.
In this webinar, we’ll explore the evolution of Machine Learning as part of the broader data science discipline, and discuss why the fundamental need for data readiness is so crucial. Learn key steps to evaluate the readiness of your data and review how a governed data supply chain using automated orchestration can deliver a reliable engine for Machine Learning platforms today.