NDT Global uses custom-built tools with ultrasound technology to detect corrosion and cracks in oil and gas pipelines over hundreds of kilometers.
A career can transition from academic physics and climate research into industrial data science and management by focusing on algorithms.
Machine learning is used as a tool to automatically learn complex rules from vast, labeled datasets of pipeline anomalies, complementing traditional algorithms.
Effective data science teams require a mix of backgrounds, as deep domain knowledge is crucial for understanding data context beyond generic algorithms.
Despite past initiatives, there is a concerning trend of declining female representation in tech, highlighting the need for visible role models.
Companies can foster inclusivity and attract more women by offering flexible work conditions and breaking traditional family leave stereotypes for all genders.
The "10x developer" mindset is unsustainable and burns out teams, while the industry must adapt to AI changing the nature of development work.
Working in smaller, specialized companies can provide greater job satisfaction through direct impact, immediate feedback, and a clear connection to the product.
Diverse candidates are encouraged to be confident, apply for roles, and embrace continuous learning to enter and succeed in the tech industry.
34:48Maria Apazoglou
30:49Marin Niehues
33:24Laura Moritz, Nina Levchuk, Laura Möller & Nica Huestegge
43:47Dubravko Dolic & Hüdaverdi Cakir
44:11Alexandra Waldherr
52:37Kateryna Hrytsaienko
26:55Jan Zawadzki
24:07Mike Butcher, Jürgen Müller, Katrin Lehmann & Tobias Regenfuss
Jobs that call for the skills explored in this talk.
DTS Systeme GmbH
