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

Presented by

James Kobielus, TDWI Senior Research Director; Andreas Welsch, SAP VP Artificial Intelligence, Joel McKelvey, Sisu VP PMM

About this talk

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?
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Sisu enables organizations to operationalize all their data to empower everyone to make the best possible decisions. As the industry’s first decision intelligence engine, Sisu helps teams leverage their data to quickly understand what’s happening, why it’s happening, and how to take action. Based on years of research at Stanford University and proven at Microsoft and Facebook, the Sisu proprietary engine uses scalable machine learning to analyze cloud-scale data in real-time to surface relevant business insights in seconds. Innovative organizations worldwide — including Samsung, Wayfair, Mastercard, Gusto, and more — rely on Sisu to make the best decisions for their business. To learn more about Sisu, visit