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

Inspecting hundreds of kilometers of pipeline generates massive datasets. AI helps find the tiny, safety-critical cracks hidden inside.

#1about 2 minutes

Using ultrasound technology for pipeline inspection

NDT Global uses custom-built tools with ultrasound technology to detect corrosion and cracks in oil and gas pipelines over hundreds of kilometers.

#2about 1 minute

A career path from climate research to data science

A career can transition from academic physics and climate research into industrial data science and management by focusing on algorithms.

#3about 4 minutes

Applying supervised machine learning to pipeline data

Machine learning is used as a tool to automatically learn complex rules from vast, labeled datasets of pipeline anomalies, complementing traditional algorithms.

#4about 3 minutes

The importance of domain knowledge in data science

Effective data science teams require a mix of backgrounds, as deep domain knowledge is crucial for understanding data context beyond generic algorithms.

#5about 8 minutes

Addressing the recent decline in gender diversity efforts

Despite past initiatives, there is a concerning trend of declining female representation in tech, highlighting the need for visible role models.

#6about 4 minutes

How companies can attract and retain diverse talent

Companies can foster inclusivity and attract more women by offering flexible work conditions and breaking traditional family leave stereotypes for all genders.

#7about 4 minutes

Rejecting hustle culture and preparing for AI's impact

The "10x developer" mindset is unsustainable and burns out teams, while the industry must adapt to AI changing the nature of development work.

#8about 4 minutes

The benefits of working for smaller, specialized companies

Working in smaller, specialized companies can provide greater job satisfaction through direct impact, immediate feedback, and a clear connection to the product.

#9about 1 minute