AI opportunity is clear, yet most organizations hit the same wall: their data isn’t ready, and they can’t move fast enough. But this isn’t another session on why AI initiatives fail. Instead, you’ll learn what’s actually working for organizations that have cracked the AI code.
Don’t miss this candid discussion with data management experts from Quest Software and Tiger Analytics. They’ll share an insider look at how winning teams are delivering trusted, reusable data products at the speed AI demands.
You’ll learn how to:
- Shift from project-to-project thinking to scalable data products that accelerate every AI initiative
- Employ the cultural and technical patterns separating organizations that scale AI from those stuck in pilot purgatory
- Use practical strategies to fix what’s breaking down when governance can’t keep pace with AI demands
- Ensure you have the platform capabilities that matter most heading into 2026
This session is for you if you’re:
- Responsible for ensuring your AI initiatives are connected to business outcomes
- Wondering how to deliver trusted data assets at that speed and scale AI requires
- Curious to hear what everyone else is experiencing (and what our experts think you should know moving forward)
Meet your speakers:
Susan Laine | Quest Software
Sue brings deep expertise in data management platform technology and market trends. She’ll share how organizations are leveraging converged platforms to move from foundational data modeling to full AI readiness and what complete transparency across the data lifecycle actually looks like in practice.
Ravi Shankar | Tiger Analytics
Ravi offers a unique implementation perspective, having helped organizations build frameworks for trusted data products using Quest erwin. He’ll discuss the cultural mindset shifts required for success and the patterns he’s seeing in organizations that are winning versus those still struggling to gain traction.