AI Ops with DataBricks. Accelerating AI value in production. Part1

Stop Experimenting. Start Delivering. Go from Proof-of-Concept to Production.

Join us for Part 1 of our AI Ops with Databricks series, where we explore how to move from AI experimentation to real, production-scale value.

In this session, Wynand Jordaan and John Beddow will unpack the practical steps, architecture patterns, and operational best practices for delivering AI at scale using Databricks.

We’ll discuss:

• How AI Ops bridges the gap between data science and production systems
• Leveraging Databricks to operationalise machine learning workflows
• Building robust monitoring, observability, and governance for AI models
• Real-world examples of accelerating AI delivery and reducing time-to-value

Whether you’re a data engineer, ML practitioner, or tech leader looking to scale AI impact, this session will give you actionable insights and a roadmap to production success.

Speakers:

• Wynand Jordaan – AI & Data Engineering Specialist, passionate about scaling intelligent systems in production.
• John Beddow, PhD – Data Scientist and Solutions Architect at Marionete, helping organisations unlock enterprise value through modern data platforms.

Join us to learn, share ideas, and connect with others shaping the future of AI operations.