TDWI Expert Panel: Machine Learning Models to Work in your Organization

Machine learning (ML) is the core of intelligent applications in the 21st-century economy. ML’s data-driven models power enterprises’ most mission-critical decision support, process automation, and customer engagement applications. In this panel, TDWI senior research director James Kobielus will lead data industry experts in a discussion of how enterprises are putting ML models to work in their organizations. They will discuss such issues as: What investments should enterprises make to drive greater scale, speed, and automation in ML operationalization (MLOps) pipelines? What MLOps functions should be automated and which are best left partially or entirely reliant on the hands-on wizardry of professional data scientists? When should enterprises consider converging their MLOps siloes with their organizations’ data engineering infrastructures? How should enterprises evolve their MLOps practices and platforms to enable the next generation of ML-driven autonomous, robotics, embedded, and edge applications?