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-profilesIn this episode, we will learn: 00:00 Introduction to the Episode00:28 Guest Introduction: Alexander Machado01:57 What is MLOps and Its Importance04:00 Structuring MLOps Teams and Skill Sets06:34 Effective Management in MLOps10:38 MLOps Project Lifecycle14:23 Challenges and Risks in MLOps17:44 Scalability in MLOps20:10 Choosing the Right Tools and Infrastructure21:44 Future of MLOps in Business24:11 Conclusion and Final ThoughtsThank you for listening!

Ver todos los episodios