Guy Adams

Snowflake CoCo is superb for "help me build a Snowflake object." In this session, we prove that Snowflake CoCo enables data engineers to achieve a true 50% or more improvement every day; show how it works with DataOps.live's Metis capabilities to extend the ask to "help me deliver something into production"; and demonstrate how, with the right tooling and workflow around Snowflake CoCo, productivity can improve by 400%. We demonstrate building and deploying complete applications and data products onto Snowflake, all the way into production, covering development, QA and production. We'll also show how debugging, troubleshooting and bug fixing become trivial with Snowflake CoCo and DataOps.live.

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. This change is more than a process improvement; it is a cultural transformation. By aligning every step to business value, embracing bold goals, and learning from failure, we have built a system that empowers people to innovate at speed and at scale. Data products are no longer the end goal but the enablers of something greater: a knowledge fabric ready for AI, where enterprise context unlocks smarter decisions and accelerates the delivery of life-changing medicines. Our journey proves that when ambition meets courage, and technology meets purpose, we can transform the way data serves science—and, ultimately, transform the lives of patients around the world.

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. The impact is already tangible. Telemetry pipelines are live and delivering massive value. Next up: interoperable Data Products seamlessly moving from Snowflake to Cloudera and vice versa, driving cross-platform innovation. And that’s just the start—Eutelsat is also positioning Iceberg as a future-proof standard for data sharing and export. This is a story of scale, speed, and simplification—the kind of transformation only possible when a visionary team meets the right technology.

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. Backed by Snowflake Ventures and trusted by leading enterprises, including AstraZeneca, Disney and AT&T, DataOps.live is the proven catalyst for scaling AI-ready data. In this session, you’ll unpack what AI-ready data really means, learn essential practices, discover a faster, easier, and more impactful way to make your AI initiatives succeed. Be the first to see Momentum in action - the future of AI-ready data.

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!

Many workloads on Snowflake originate from dbt™, but operationalizing those models at scale can be challenging. Developed in conjunction with Snowflake, this DataOps.live solution makes model transformations fully native, eliminating infrastructure complexity, automating deployments and testing, and streamlining the entire process. Join us for a live demo for how DataOps.live works and comes together with continuous integration and continuous deployment (CI/CD) for Snowflake, and see how you can accelerate development and time to value.