Event & Webinars
September 9, 2025

Join Sifflet at CDAO Financial Services UK 2025

Meet Sifflet in London: Where Financial Data Leaders Gather

Sifflet
Join Sifflet at CDAO Financial Services UK 2025
September 9, 2025
Live
Hilton London Tower Bridge

The data and analytics landscape in financial services is shifting fast. New regulations. Tighter budgets. Rising expectations.

At CDAO Financial Services & Insurance, you’ll be surrounded by leaders who aren’t just keeping up, they’re setting the pace.

We’re excited to be part of this year’s agenda and would love to connect with you in person. Stop by booth 8 or book a meeting with us in advance to dive into the most critical topics on your roadmap: from regulatory resilience to operational efficiency in an AI-first world.

Why meet with Sifflet?

  • Discover how data observability strengthens compliance
  • See how top teams stay agile, even with fewer resources
  • Talk strategy with the people building the future
    Alexandre Iorga, our Head of Solutions Engineering, will be moderating a panel on Building Resilience: Long-Term Strategies for Thriving Amid Economic Pressures.
  • Explore how data observability supports smarter AI

Let’s meet at Booth 8

Whether you’re building a more resilient architecture or exploring new ways to deliver value through data, we’re here to help you get there faster, and with confidence.

👉 Book a meeting with us now and let’s turn challenges into opportunities.

Speaker

Sifflet

Sifflet is a leading data observability platform that helps companies see data breakthroughs. Customers like the BBC, Penguin Random House, Carrefour, and Adaptavist rely on Sifflet to uncover, prevent, and overcome the technical and organizational obstacles that get in the way of better quality, more reliable data.

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Speaker

Sifflet

Sifflet is a leading data observability platform that helps companies see data breakthroughs. Customers like the BBC, Penguin Random House, Carrefour, and Adaptavist rely on Sifflet to uncover, prevent, and overcome the technical and organizational obstacles that get in the way of better quality, more reliable data.

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