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Mar 12, 2025

Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner

Katja Träumner

Dr. Katja Träumner argues deep domain knowledge now beats boilerplate coding. See how her team uses machine learning to prevent environmental disasters while rejecting toxic burnout culture.

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#1 about 3 min

Inspecting oil pipelines with ultrasound technology

Using ultrasound technology to inspect high-pressure oil and gas pipelines for corrosion and cracks.

#2 about 2 min

Transitioning from academic physics to data science leadership

Shifting from a research physics background into leading and managing industrial data science teams.

#3 about 3 min

Applying supervised machine learning for practical rule extraction

Applying supervised machine learning to extract rules from massive labeled datasets rather than treating artificial intelligence as magic.

#4 about 2 min

Implementing semi-automated anomaly detection with human oversight

Keeping domain experts in the loop to review complex data anomalies flagged by machine learning models.

#5 about 4 min

Leveraging domain knowledge and diverse team backgrounds

Why specialized sector understanding and cross-disciplinary knowledge outweigh generic coding skills in complex technical domains.

#6 about 9 min

Pushing for female representation and leadership in technology

Breaking traditional organizational structures by actively filling tech roles with women to create role models and normalize diversity.

#7 about 5 min

Implementing company policies to support flexible work environments

Promoting flexible hours and equal parental leave as practical measures to build inclusive tech teams.

#8 about 5 min

Preventing developer burnout by avoiding toxic productivity trends

Recognizing the limits of extreme workloads and pushing back against unsustainable competition within software engineering teams.

#9 about 4 min

Finding direct product impact in specialized industrial companies

Working in smaller tech environments allows engineers to see the immediate real-world consequences of their software.

#10 about 2 min

Bringing diverse skills to industrial data science roles

Encouraging continuous learning and open-mindedness when applying for software and data positions in niche industrial sectors.

Matching moments

1:31 min

Addressing developer burnout and the impact of artificial intelligence

Pauline Pagliaro Pauline Pagliaro · World Congress 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:19 min

Navigating artificial intelligence adoption as a cultural transformation

Markus Hacker Markus Hacker +1 · World Congress 2025

37 sec

Building core AI literacy and algorithmic transparency

Manjuri Sinha Manjuri Sinha · World Congress 2025

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · World Congress 2025

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

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