Industrial AI Podcast No GenAI without a Data Science Team
Nov 5, 2025
Gabriel Krummenacher, Director of data science at Zühlke, delves into the complexities of industrial AI adoption. He discusses a survey revealing that operational efficiency is the top impactful AI use case. Gabriel emphasizes the necessity of strong data science teams to leverage GenAI, noting that ethical frameworks significantly enhance success rates. He highlights differing regional approaches to AI and stresses the importance of measurable KPIs and leveraging internal data for impactful custom applications. Tune in for insights on how to navigate the AI landscape effectively!
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Returning Guest From The First ChatGPT Wave
- Gabriel previously appeared on the podcast during the first ChatGPT wave.
- He returns to discuss a broad survey of industrial AI adoption and impact.
Operational Efficiency Leads AI Impact
- Operational efficiency is the most impactful AI use case across industries.
- Companies achieve this via optimization tasks like resource planning and process tuning.
Internal Data Drives Successful AI
- Impactful AI projects rely heavily on internal data and in-house labeling.
- Over half of respondents trained or fine-tuned models specific to their use cases.
