Welcome to another episode of Data Unchained hosted by Molly Presley. In this episode, Molly sits down with Ted Weatherford, VP of Business Development at Xsight Labs, to explore the cutting-edge future of data infrastructure. They dive deep into the rise of DPUs (Data Processing Units), how they compare to GPUs, and why 800G networking could change the balance of supercomputing forever. From AI data centers and neo cloud architectures to the Open Flash Platform initiative, this conversation uncovers how efficiency, scalability, and democratization of technology are shaping the next generation of computing. Find out more about Xsight Labs by visting their webstite: https://xsightlabs.com/ Cyberpunk by jiglr | https://soundcloud.com/jiglrmusic Music promoted by https://www.free-stock-music.com Creative Commons Attribution 3.0 Unported License https://creativecommons.org/licenses/by/3.0/deed.en_US Hosted on Acast. See acast.com/privacy for more information.

This session features Richard Lewis, Senior Solution Architect at Matillion, in conversation with Daniel Adams, Global Analytics Manager, from Edmund Optics, as they share how data integration, AI, and cloud technologies transformed technical support and accelerated time to value. Edmund Optics’ team of 50 highly skilled engineers faced a flood of repetitive technical inquiries, averaging 25 minutes per response, across a catalog of 34,000+ components. To streamline support, they partnered with Matillion, Snap Analytics, and Snowflake to build an AI-powered chatbot. Deployed in just 10 weeks, the chatbot delivers instant, consistent answers to common queries, freeing engineers to tackle complex issues and dramatically improving support efficiency.

Snowflake ML enables efficient development and deployment of advanced models without any data movement. With multi-GPU support, MLOps integration and Git-based workflows, Container Runtime provides a scalable environment for training, and Snowflake ML’s products such as Model Registry and Model Serving make it easy to deploy these models in production. This session explores best practices for scalable ML workflows and the creation of production-ready ML pipelines in Snowflake.

Every organisation is reimagining how data and AI can drive faster, smarter decisions — but success depends on more than technology. It takes alignment between strategy, architecture, and culture.

Join Evoke’s Chief Analytics Officer, Mark Stern, together with Snowflake and AWS, as they share how Evoke built a unified, intelligent foundation that connects data, analytics, and AI to accelerate business outcomes. This session is a candid look at what it really takes to modernise at scale — from navigating change and simplifying legacy environments to enabling trusted, AI powered workflows across the enterprise.

Why attend: Walk away with practical lessons on balancing collaboration, governance, and innovation — and how to build a data and AI foundation your teams can grow with, together.

VIOOH, a leading programmatic digital out-of-home (DOOH) platform, is revolutionising the advertising industry by connecting buyers and sellers in a global marketplace. In this interactive session, explore how VIOOH leverages Snowflake to power this transformation - delving into the challenges of managing and analysing vast amounts of real-time data from billions of daily ad impressions, and how Snowflake's scalable and secure AI Data Cloud provides the foundation for VIOOH's success.  

AstraZeneca’s future digital ambitions require unlocking the potential of data and AI to accelerate and innovate drug development. However, to enable AI @ scale you need a solid data foundation. Central to this vision is the evolution from fragmented data silos to a robust, scalable approach for building and deploying data products. In this session, we explore what constitutes a data product for AstraZeneca, and how our journey began with significant challenges: a complex data mess exacerbated by regulatory pressures, isolated working models, and traditional waterfall development methods. 

We will explore the solutions that drove transformation, including a new operating model, rapid prototyping methods, and the implementation of DataOps.live on Snowflake. These changes have drastically cut the time needed to deliver a data product, reducing it from 4-6 months to just 4-6 days. This swift progress is unlocking significant business value and revolutionizing team collaboration across the organization.

Looking ahead, AstraZeneca is poised to expand these foundations by embracing knowledge graphs and scalable AI solutions, further amplifying the impact of data products on drug development, and operations.

Meeting regulatory compliance, managing risk, and fighting financial crimes remain top priorities for financial services executives, but the constantly evolving global regulatory landscape and growing sophistication of bad actors make traditional approaches unsustainable. This session will detail the design considerations for a strategic, modern enterprise risk, regulatory and financial crime platform that scales with these challenges. Hear from customers on how they're leveraging data and AI to transform this business-critical function, sharing their implementation strategies, best practices, and key learnings.

Data clean rooms are rapidly evolving from privacy-preserving data collaboration environments into powerful engines for AI- and ML-driven insights. This session will dive into the technical architecture and product capabilities enabling clean rooms to support advanced use cases across the marketing lifecycle — from identity resolution and lookalike modeling to cross-channel attribution and real-time optimization. Beyond advertising, we’ll examine how these innovations are scaling into verticals like retail and healthcare, where secure data collaboration is unlocking next-gen personalization, predictive analytics and clinical insights.

Telecommunications lies at the heart of the all-connected, AI-driven world - powering global connectivity and driving the next era of digital transformation. This session explores the fundamental requirements and opportunities for becoming a data-first telecom operator, highlighting how industry leaders are reshaping services and operations through unified, robust data, analytics and AI/ML strategies. Attendees will discover what's driving the next wave of telecom innovation, the essential foundations of an AI-powered telco, and how the Snowflake AI Data Cloud enables scalable, end-to-end machine learning and analytics. From breaking down data silos to deploying advanced AI/ML solutions, gain practical insights into building a truly modern, intelligent telecom business ready to thrive in a data-centric future.

Learn how to bring all your data together with Snowflake Openflow to build with limitless interoperability and deployment flexibility, no matter if it's structured, unstructured, batch or streaming data. Make your integration pipelines ready for AI and the future.

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. MIT is even more concerned! “Good enough” data simply isn’t enough. 

At this World Tour launch event, DataOps.live reveal Momentum, the next generation of its DataOps automation platform designed to operationalize trusted AI at enterprise scale on Snowflake. Based on experiences from building over 9,000 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.

Explore how Snowflake and Microsoft collaborate to transform data and AI workflows. Learn to operate on a single data copy between Microsoft Fabric OneLake and Snowflake via Apache Iceberg, eliminating duplication. Discover Real-Time RAG AI Agents that integrate Snowflake's trusted data and enterprise systems for instant Microsoft Copilot responses, without copying data. Unlock Real-Time Actions using PowerApps with live query and writeback to Snowflake, all with no code. Simplify and innovate with these powerful tools.

In this customer-led session, you'll hear how Entain successfully addressed various scaling challenges using generative AI. Discover how their journey from manual, time-consuming processes for data and analytics projects went to a highly efficient, automated workflow that reduced engineering effort by 30% and time to market for data products by 25% - all in the first 3 months of utilising Snowflake Cortex AI and Streamlit.

The financial services industry has transitioned from AI fervor to intentional AI use cases and ROI. Moving forward, success hinges on not merely getting access to state-of-the-art foundational models, but also the ability to combine technology with deep financial services domain expertise and context. This session outlines how Snowflake is delivering an end-to-end AI value proposition for the financial services enterprise, enabling them to build, deploy, and scale intelligent applications directly on their data. Attendees will learn from Snowflake executives about the company's AI vision for the industry, the newest AI capabilities, and the key business use cases that can be enabled today. 

As healthcare and life sciences organisations look to transform their business functions by leveraging AI, the ability to ingest and transform multimodal data is more critical than ever. Join this Healthcare & Life Sciences overview and hear how leaders are working with Snowflake to simplify their data foundations, and learn what the latest Snowflake announcements mean for the industry. We will also provide actionable insights on how to both enable AI by architecting for interoperability and leverage AI for operational efficiency.

See how Snyk, the leader in secure AI software development, evolved an internal AI tool into Snyk Assist, a secure, customer-facing assistant powered by Snowflake.

This session will dive into the architecture and design patterns, showing how Snowflake enables scalable data ingestion and powers retrieval through the Cortex Search service. Expect a joint demo that highlights real-world integration between Snyk and Snowflake and learn about the key considerations when building customer-facing AI products.

Key takeaways:

•From Idea to Impact: How an internal-facing tool became a customer product with Snowflake as the data foundation. •Security by Design: Why embedding guardrails into AI workflows is critical, and how Snowflake makes it repeatable. •Hands-On Demo: Watch Snyk + Snowflake in action, collecting, preparing, and serving data to power an AI assistant.

Master AI-powered analytics in Snowflake. Learn how to leverage Snowflake's powerful AI SQL functions for advanced analytics on unstructured, time-series, and geospatial data. We'll also demonstrate how to use Semantic Views to bridge the gap between data and business understanding.

Learn how to build and deploy accurate conversational apps and bring AI-powered data agents into production with ease and trust across your enterprise. Join us for new product insights, feature overviews, best practices and live demos.

Jaja Finance is on a mission to empower customers to buy, borrow, and build, driven by technology, fuelled by data, and built for the future. But internally, the data team faced fragmented ways of working: non-standard modelling, limited transparency across teams, slow time-to-serve, all while navigating governance needs. In just one year, the team built a resilient, transparent, scalable data foundation by consolidating all data on Snowflake and standardizing development in Coalesce. 

In this session, Sarah Tolfrey, Head of Data Operations shares Jaja’s foundation-first playbook, from templating and data quality to iterative feedback loops that helped unlock:

•5x faster delivery on complex and unstructured data •Same-day turnarounds for change requests with downstream impact checks •30% faster development on complex projects usingCoalesceAI-powered Copilot, and  •47% reduction in model compute costs •Improved onboarding and cross-team visibility. This transformation opened the door to cutting-edge AI projects and broader analytics use across the business, accelerating Jaja’s mission to serve customers with speed, intelligence, and confidence.

Most teams are being asked to do more with less. The fastest productivity wins now come from Agentic AI, but legacy ETL and brittle data estates hold you back. In this 15-minute session, Infinite Lambda and Pacific Life Re share a practical roadmap to make your Snowflake platform AI-ready in weeks, not years.