The intersection of data fabrics and agentic AI

Connecting enterprise data is a necessary, yet challenging, step in the process of developing Industrial AI solutions to their fullest potential. Data fabrics are a key way to address this challenge, offering connection and context to enterprise data and credibility to AI-generated results. These three elements will, together, be necessary building blocks for developing highly autonomous AI agents in the future, paving the way for users to orchestrate complex workflows across multiple domains.

In this episode, host Spencer Acain is joined by Tobias Malbretcht, Head of Product Management, Data & AI at Siemens Digital Industries to explore the future role of tools like RapidMiner in supporting complex agentic AI solutions for industry and what that will mean for product design and production going forward.

In the episode you’ll learn about:

(00:00) How data fabrics are applied to agentic AI

(03:03) Building secure and trusted AI systems with data fabrics

(07:00) What the future holds for RapidMiner

About the voices:

Tobias Malbretcht is the Head of Product Management for Data and AI at Siemens Digital Industries leading development for the RapidMiner AI Platform.

Spencer Acain Is a technical marketing writer for AI thought leadership at Siemens Digital Industries with a background in Applied Mathematics and Mechanical Engineering.