Oliver Hebnes
Fagleder og tech lead AI, Sparebank 1 Sør-Norge
Stavanger, Norway
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Oliver Hebnes is a seasoned Data & AI tech lead. He specializes in ensuring machine learning models are not only accurate and efficient but also maintainable and scalable. A physicist by training, Oliver completed his MSc in computational physics at the University of Oslo (UiO), where he studied new quantum material platforms using machine learning methods. Transitioning from computational physics to the practical realms of technology, Oliver's professional journey has spanned multiple industries, including energy, educational technology, and finance.
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MLOps: How SR-Bank manages AI lifecycles
MLOps, or Machine Learning Operations, is a practice that bridges the gap between data science and operations, aiming to streamline and automate the lifecycle of machine learning models. It facilitates rapid deployment, monitoring, and lifecycle management of ML models that predict market trends, detect fraudulent transactions, and customize client services. ML-Ops is becoming increasingly ubiquitous in the modern era of banking. This presentation briefly demonstrates how SR-Bank uses ML-Ops to improve efficiency, security, and time-to-market.
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