04.04.2025
Digdeep Podcast: How to Bring AI Into Engineering, Philipp Noll From Spread.AI?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In another new episode of #digdeep, Philipp Noll, Co-Founder from Spread.AI talks about data networking in large-scale IT projects.
Data is of central importance in modern industry, both in product engineering and in the networking of the entire process chain, which ranges from research and development to production, sales, and after-sales. Despite its importance, data is often viewed as a byproduct, which leads to inadequate organization: it is often scattered, incomplete, and lives in a multitude of disconnected IT systems.
The scale-up Spread.AI has developed innovative solutions to overcome these challenges by relying on intelligent networking through knowledge graphs and connectors.
In conversation with co-founder Philipp Noll, the importance of data as the "new gold" for engineering and the opportunities that arise from the networking of data worlds are highlighted. With a platform that enables the automation of tasks in the development process, the path is paved for the widespread use of AI agents in engineering.
Just listen in (podcast in German).
Related
23.10.2026
Digdeep Podcast: Technology, Power & Society – What Can We Learn From the History of IT?
In the new episode of #digdeep, historian Debora Gerstenberger talks about the influence of the IT history.
23.10.2026
MCML at EMNLP 2026
MCML researchers are represented with 47 papers at EMNLP 2026 (31 Main, 11 Findings, and 5 Workshops).
09.10.2026
Digdeep Podcast: Human Friendly Automation – Does AI Work for Humans, or Are We Out in the End?
In this episode of #digdeep, Hanjo Gergs and Lars Schatilow present the ideas of the Human Friendly Automation Alliance.