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In this episode, we discuss the evolving landscape of data analytics, focusing on MLOps.

Alexander Machado, Head of Trustworthy AI, joins us in this discussion. Alex and I explore the essential role of MLOps in ensuring successful project deployment and performance.

We share insights on MLOps and their importance for businesses. We explore the common risks and challenges that businesses face. We touch on scalability and other important factors such as aligning with strategic goals, stakeholder buy-in, and complying with regulations like the European AI Act.

- Enterprise guide to ML: https://appliedaiinitiative.notion.site/The-enterprise-guide-to-ML-a389dbdf244143f7a690b4e1980444f4

- ML Skill Profiles whitepaper: https://www.appliedai.de/en/insights/ml-skill-profiles

In this episode, we will learn: 

00:00 Introduction to the Episode
00:28 Guest Introduction: Alexander Machado
01:57 What is MLOps and Its Importance
04:00 Structuring MLOps Teams and Skill Sets
06:34 Effective Management in MLOps
10:38 MLOps Project Lifecycle
14:23 Challenges and Risks in MLOps
17:44 Scalability in MLOps
20:10 Choosing the Right Tools and Infrastructure
21:44 Future of MLOps in Business
24:11 Conclusion and Final Thoughts

Thank you for listening!