Data Governance and AI // Alexandra Diem // #212
MLOps.community
Friendship, Restaurant Ventures, and Focusing on Data and Machine Learning
This chapter covers their journey from running a restaurant venture to focusing on data and machine learning in their company.
Alexandra Diem, PhD, has extensive experience in the field of AI, machine learning, and cloud analytics. Alexandra currently holds the position of Head of Cloud Analytics and MLOps at Gjensidige.
Large Language Models have taken the world by storm. But what are the real use cases? What are the challenges in productionizing them? In this event, you will hear from practitioners about how they are dealing with things such as cost optimization, latency requirements, trust of output, and debugging. You will also get the opportunity to join workshops that will teach you how to set up your use cases and skip over all the headaches.
Join the AI in Production Conference on February 22 here: https://home.mlops.community/home/events/ai-in-production-2024-02-15
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MLOps podcast #212 with Alexandra Diem, Head of Cloud Analytics & MLOps at Gjensidige, Data Governance and AI.
// Abstract
This recent session featuring the incredibly talented Alexandra Diem delves into the challenges of generative AI in sensitive data environments, the emergence of specialized chatbots, and data governance. Balancing high-tech projects with those offering significant business value, using agile methods, is also discussed. Alexandra's journey from academia to being a consultant in Norway is truly inspiring. The discussion explores the function of enabling and R&D in tech roles, the shift towards self-serve solutions, and the integration of AI into existing workflows. Stimulating conversations about future-oriented technologies married with sound data science and industry practices make this session a must-listen for anyone interested in machine learning operations!
// Bio
Former academic turned data scientist with a passion for data mesh architectures.🔬 Background in applied mathematics and statistics, adept at leveraging data-driven insights to solve complex problems. Experienced in diverse domains spanning the private and public sectors.🧠 Made significant contributions to research in physiological modeling, successfully debunking a leading biomedical hypothesis on Alzheimer's disease during my PhD. Developed innovative approaches to quantify blood supply to the heart.💡 Solution-oriented thinker with a track record of efficiently tackling challenging problems and adapting to novel scenarios.⚙️ Expertise: Data Science | Mathematical Modeling | Statistical Analysis | Problem Solving. In my spare time, you'll find me exploring the great outdoors—whether it's pedaling through scenic landscapes on a bike or riding down the slopes on a pair of skis.
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// Related LinksAI in Production Conference: https://home.mlops.community/home/events/ai-in-production-2024-02-15
Website: https://github.com/alexdiem
Talk "DevOps revolutionised software engineering, it's time to revolutionise data" https://vimeo.com/861721829 from JavaZone 2023Zilliz Cloud: https://zilliz.com/
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