Data Governance and AI - Challenges and Opportunities in MLOps

Overview

Explore a comprehensive podcast episode featuring Alexandra Diem, Head of Cloud Analytics & MLOps at Gjensidige, discussing data governance and AI. Delve into the challenges of implementing generative AI in sensitive data environments, the rise of specialized chatbots, and the importance of data governance. Learn about balancing high-tech projects with business value, using agile methods, and Alexandra's inspiring journey from academia to consulting. Gain insights on enabling and R&D in tech roles, the shift towards self-serve solutions, and integrating AI into existing workflows. Discover how legacy companies can innovate, the revamping of model factory code, and strategies for delivering projects faster through modernized tools. This episode offers valuable perspectives on cutting-edge technologies combined with sound data science practices, making it essential for anyone interested in machine learning operations and AI implementation.

Syllabus

[] AI in Production Conference
[] Alexandra's preferred coffee
[] Takeaways
[] The Read-off Segment
[] Travelling and settling
[] Alexandra's background
[] Contributions to Alzheimer's disease
[] ML in research examples
[] Transitioning to Software Engineering
[] Difference between building the thing right and building the right thing
[] Efficient Workflow Streamlining
[] Legacy companies struggle to stay current and innovate
[32:49 - ] Zilliz Ad
[] Legacy companies struggle
[] Preparing to manage the Internet, enable others, and recommend tools
[] The Project team revamped the model factory code significantly
[] Challenges with AI solutions, and specialized chatbots
[] Need rubric, coding, and flashy title
[] Delivering projects faster by modernizing tools
[] Wrap up