The Industrial AI Podcast: Unlocking Industrial Knowledge with AI Agents
- Arjen de Hoop
- 2 hours ago
- 1 min read
As industrial AI matures from initial proof-of-concepts toward high-stakes, reliable implementation, the manufacturing sector faces a specific challenge: how do you transform decades of fragmented technical documentation into a competitive advantage?
In a recent episode of the Industrial AI Podcast, Zeta Alpha founder and CEO Jakub Zavrel sat down with Robert Weber to discuss the practicalities of deploying agentic systems industrial enterprises.
The conversation touches on the key hurdles in leveraging proprietary technical expertise to the fullest and turning thousands of documents into answers:
Source data quality: the critical importance of ingesting multimodal data from all kinds of internal systems and repositories and making sure it's "readable" to the LLMs.
Fine-tuning systems to domain and company expertise: in highly technical fields like chemistry and engineering, the accuracy and relevance of results and generated answers improves dramatically when models are trained on domain-specific terminology and documentation.
Tackling new data formats: how can AI read 3D CAD models and utilize that data to better support engineering workflows?
Learn more
If you're interested topics like teaching AI to understand 3D models or building sovereign European AI for industry we'll be sharing more about our work on these projects at the upcoming Hannover Messe in April. We'd be happy to meet you there! Learn more about our sessions here.
Listen in to the full interview below:
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