"Good enough" data is not AI-ready

Visit us at Booth M50 or check out one of four sessions to learn how to operationalize your data for trusted AI at scale.

BDL 2025 (1)

Operationalize your data for trusted AI at scale.

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Swing by Stand M50

Throughout the show, our experts will be standing by to show you just how easy it can be to get your data AI-ready. Swing by for a strategic discussion or to watch an educational session or demo in our booth theatre that helps your team deploy native CI/CD in Snowflake in minutes. And if you can't wait to see the demo, why not try a...

Hands-On Lab
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Get your free Snowflake data engineering apps

The DataOps.live Dynamic Suite™ is a family of native apps that accelerate data engineering projects within Snowflake. Automate and accelerate CI/CD natively with Dynamic Delivery™ and get enterprise dbt™ with Dynamic Transformation™. Free to access and 500 minutes each month!

DataOps.live on the Snowflake Marketplace
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Pints & Pipelines

Join us at Hilton London Olympia
Wednesday, September 24, 6-8 PM 

After a full day at Big Data LDN, you deserve a break. Join DataOps.live and FiveTran for a relaxed evening of good drinks, great food, and even better company. 

More info & Save your spot

How AstraZeneca Transformed Data Management Using a Data Product Strategy

The future of healthcare depends not only on breakthroughs in science, but also on how we harness the power of data, technology, and AI. To realise this future, we must challenge long-held assumptions about how data products are delivered. What once took months of complex engineering now happens in days—or even hours—by re-imagining the way we work. At AstraZeneca, we shifted from a traditional IT-centric model to one where business teams take ownership, rapid prototyping drives innovation, and automation ensures quality, compliance, and trust.

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Myth busting: Busting DataOps and Data Products myths with 50 years of experience

DataOps, and more recently, Data Products have still only been around for a relatively short period of time. However, the collective experience of those who have been working in this area is now sufficiently large that patterns and trends have emerged, as well as a regular set of misconceptions.

In this session, Keith Belanager, DataOps.live Field CTO and multi-decade practitioner, Paul Rankin, former Head of Data Platforms and Governance at Roche Diagnostics, multi-decade practitioner and Data Mesh and Data Products expert, and Guy Adams, DataOps.live co-founder and author of DataOps for Dummies and Data Products for Dummies, meet to discuss the top myths and misconceptions they see and give the real facts.

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Iceberg – Tales From a Real Implementor With DataOps.live

Get ready for a customer story that’s as bold as it is eye-opening. In this session, Eutelsat and DataOps.live pull back the curtain on what it really takes to deliver business-changing outcomes with a specific focus on the Use Cases addressed by Apache at the core. And these Use Cases are BIG – think about big, big numbers, and you still aren’t even close!
You’ll hear the inside story of how Eutelsat found itself with two “competing” cloud data platforms. What could have been an expensive headache turned out to be an advantage: Iceberg made it not only possible but cheaper and simpler to use both together, unlocking agility and cost savings that no single platform alone could provide.

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Making your Data AI ready with DataOps

AI is only as good as the data it runs on. Yet Gartner predicts in 2026, over 60% of AI projects will fail to deliver value - because the underlying data isn’t truly AI-ready. “Good enough” data isn’t enough.
In this exclusive BDL launch session, DataOps.live reveal Momentum, the next generation of its DataOps automation platform designed to operationalize trusted AI at enterprise scale.
Based on experiences from building over 9000 Data Products to date, Momentum introduces breakthrough capabilities including AI-Ready Data Scoring to ensure data is fit for AI use cases, Data Product Lineage for end-to-end visibility, and a Data Engineering Agent that accelerates building reusable data products. Combined with automated CI/CD, continuous observability, and governance enforcement, Momentum closes the AI-readiness gap by embedding collaboration, metadata, and automation across the entire data lifecycle.
 
AI-ready