As AI adoption accelerates, so do the questions around trust, safety, and control. Nearly half of organisations cite concerns about data accuracy and bias, while 40% worry about privacy and confidentiality. According to McKinsey, CEO-level oversight of AI governance is the strongest predictor of bottom-line impact.
This session is designed for those responsible for ensuring AI systems are not only powerful, but also principled. We’ll explore how Databricks supports responsible AI at scale, with governance frameworks that align with enterprise security and compliance standards. From model safety to monitoring and audit tooling, you’ll gain practical insights into building AI systems that earn trust and meet regulatory expectations. Plus, you'll get access to a cheat sheet with our AI Governance maturity assessment and worksheet, built by our team based on our client work - giving you expert insights for free.
What You’ll Learn
- Model Safety & Responsible AI: Best practices for ensuring fairness, transparency, and accountability in AI systems.
- Governance Frameworks in Databricks: How to structure oversight and control across the AI lifecycle.
- Monitoring, Auditing & Compliance Tooling: Tools and techniques for tracking performance, detecting drift, and maintaining compliance.
- Enterprise Integration: Aligning AI governance with existing security policies and data controls.
What You'll Get
Attendees will gain exclusive access to our resource, The AI Governance Quick-Start Guide: Build Audit-Ready AI Systems. This includes:
- A Databricks AI Governance Framework, so you can see how the different governance areas link together. Whether you're using ML or GenAI, the framework allows you to understand where and how governance overlaps.
- Our AI Governance Maturity Assessment, so you can see where you are and consider where you want to go - we use this assessment with clients so you know it's legit!
- Our AI Governance Canvas, a worksheet to fill out based on our client engagements.
Why Attend?
- Understand how to build trust into your AI systems from the ground up
- Learn how Databricks supports scalable, compliant AI governance
Speakers
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Dr Gavi Regunath, Chief AI Officer
Gavi is a hands-on AI leader and recognised Databricks MVP, specialising in designing and delivering GenAI and ML solutions on Databricks. Gavi works directly with technical decision-makers to turn prototypes into operational services the business can trust.
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Terry McCann, CEO
Terry is known for a pragmatic, outcome-focused approach to Databricks adoption. Terry has helped hundreds of organisations move from ambition to actual results on Databricks, always with a clear eye on business value.
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