Live Webinar – Successfully Implement AI & ML in Databricks

How can AI and machine learning be efficiently integrated into existing data platforms — and operated productively?

In this compact live webinar, we will show how Databricks enables organizations to implement modern AI and ML initiatives — from Generative AI to production-ready ML processes.

• Learn more about Databricks

After a short company introduction, we will start with an overview of AI and machine learning capabilities within Databricks. We will explore key concepts and demonstrate how modern AI use cases can be seamlessly integrated into the platform.

In a live demo, we will showcase how AI and ML workflows can be implemented directly in Databricks.

The webinar concludes with an FAQ session where you can discuss your questions directly with our experts.

Topics include:

• Generative AI in Databricks and integration of GenAI models
• Agentic AI (including MCP) and its use cases
• AutoML in Databricks for accelerated model development
• Integration and usage of MLflow
• ML Ops: From experimentation to production-ready AI applications
• Why Databricks provides a scalable foundation for AI and ML initiatives

Agenda (30 minutes)

1. Short company introduction (5 minutes)

Who we are and how we support AI & ML initiatives

2. Intro, platform overview & concepts (10 minutes)

Introduction to AI & ML in Databricks

3. Live demo (10 minutes)

Practical example of AI and ML workflows

4. FAQ & discussion (5 minutes)

Open Q&A session

• Register for the webinar

Our Speakers

Christian Fischer  CEO  & Partner

Aron Weller Principal Solution Architect Lead Microsoft Azure Cloud & Fabric

Who is this webinar for?

This webinar is designed for business and technical professionals who already have initial experience in Data & Analytics and want to scale their AI and ML initiatives strategically.

Ideal for participants who want to:

• Scale and operationalize AI and ML use cases within their organization
• Explore Generative AI and modern AI architectures
• Structure ML processes and evolve toward ML Ops
• Evaluate or already use Databricks and take the next step

Typical participant roles:

• Data Scientists
• Machine Learning Engineers
• Data Engineers (AI/ML focus)
• AI / Data Leads
• IT and Data Architects

Basic understanding of Data & Analytics recommended (not an entry-level webinar).

Live Webinar – Successfully Implement AI & ML in Databricks

Online, October 15, 2026 (11:00 – 11:30 AM)

• Register for the webinar