Snowflake had a big challenge: How do you enable a team of 1,000 sales engineers and field CTOs to successfully deploy over 100 new data products per week and demonstrate every feature and capability in the Snowflake AI Data Cloud tailored to different customer needs?

In this session, Andrew Helgeson, Manager of Technology Platform Alliances at Snowflake, and Guy Adams, CTO at DataOps.live, will explain how Snowflake builds and deploys hundreds of data products using DataOps.live. Join us for a deep dive into Snowflake's innovative approach to automating complex data product deployment — and to learn how Snowflake Solutions Central revolutionizes solution discovery and deployment to drive customer success.

Accor, a world-leading hospitality group offering experiences across more than 110 countries in 5,500 properties, 10,000 food & beverage venues, wellness facilities or flexible workspaces, relies on its more than 45 hotel brands from luxury to economy and its most awarded traveler loyalty program to connect deeply with customers and increase their lifetime value. With a rich store of data centralized in Snowflake, the team set out to enable their marketing and business teams with a platform that would allow them to autonomously deliver hyper-personalized experiences and campaigns.

Join the session to learn about Accor’s CDP journey and how Hightouch, as their Composable CDP, helps them drive customer engagement, loyalty, and revenue.

In his keynote talks at the Snowflake and Databricks Summit this year, Jenson Huang, the Founder CEO at NVIDEA, talked at length about how, to compete today, organizations have to build data flywheels: where they take their proprietary business data, use AI on that data to build proprietary intelligence, use that insight to build proprietary products and services that your customers love and use that to create more proprietary data to feed AIs to build more proprietary intelligence and so on.

But what does this mean in practice? Jenson's example of NVIDEA is intriguing - but how can the rest of us build data flywheels in our own organizations? What practical steps can they take?

In this talk, Yali Sassoon, Snowplow cofounder and CPO, will start to answer these questions, drawing on examples from Snowplow customers in retail, media and technology that have successfully built customer data flywheels on top of their proprietary 1st party customer data.

Join Scott Gamester as he challenges the outdated promises of legacy BI and self-service analytics tools. This session will explore the key issues that have hindered true data-driven decision-making and how modern solutions like Sigma Computing, Databricks, and Snowflake are redefining the landscape. Scott will demonstrate how integrating these platforms empowers business analysts, driving innovation at the edge and enabling AI-enhanced insights. Attendees will learn how these advancements are transforming business empowerment and fostering a new era of creativity and efficiency in analytics.

In today’s data-driven world, organizations are increasingly challenged to extract meaningful insights from both structured and unstructured data. Join Matillion and Snowflake in this exclusive session where we explore the transformative power of generative AI within data pipelines, leveraging Snowflake's robust platform and Cortex's advanced capabilities.

This session will guide you through practical use cases that demonstrate how to integrate unstructured and structured data to unlock new insights seamlessly:

Transforming Unstructured Data into Actionable Intelligence:

Discover how to convert customer reviews into structured data by labeling actionable items, extracting product names, and assessing sentiment. We’ll walk you through creating a BI dashboard and generating reports that highlight actionable defects and desired features, empowering your team to make data-driven decisions.

Generating Executive Summaries from Structured Data:

Learn how to generate insightful commentary from your existing structured data. We’ll show you how to create concise executive summaries and trend analyses, integrating contextual information such as competitor activities or regional updates. Imagine automating a weekly Slack message to your leadership team, complete with key sales trends and strategic insights.

Throughout this session, we will showcase the capabilities of Cortex, demonstrating how it can be seamlessly integrated into your data pipelines to enhance your data processing workflows. Whether you’re looking to improve customer experience, drive operational efficiency, or stay ahead of the competition, this session will provide you with the tools and techniques to harness the full potential of your data.

Join us to learn how to turn data into actionable insights that drive business success.

When introducing new technologies into any business, resistance is often unavoidable. Connecting the people to the platform & accepting change is a journey Chaucer are very familiar with. Discover how they overcame resistance to change and are implementing Snowflake as their core platform. During this fireside chat, Marion will emphasise the importance of training and development in driving transformation and her passion for empowering girls and women in data. Join us to learn how aligning people with the right platforms can drive meaningful transformation and build a more inclusive future in the data industry.

Telenet, an affiliate of Liberty Global, is a market leading telecom known for its continuous customer-centric innovation using AI and data analytics. As an early adopter of Snowflake, they use data to drive cutting edge innovation such as hyper personalized customer services and privacy compliant data sharing with networking and broadcast partners. To further spur innovation, Telenet wants to make it easier for analysts and AI engineers to find and access data. In this session you will learn how Telenet is using Snowflake, AWS and Raito to give data analysts and AI engineers access to data in a fast and secure way.

Have you ever wondered how to build trusted data products without writing a single line of code? Do you know how to do that for a Snowflake Native App? Learn how to cut your development loop short with DataOps.live. Iterate on your implementation without ever setting up a local development environment, test it before sharing it with your team members, and finally, use CI/CD to operationalize the result as a data pipeline. Automated tests establish trust with your business stakeholders and catch data and schema drift over time in your scheduled data pipeline.

Electric vehicles produce billions of diagnostic data points, combining these data with advanced cloud-based battery models we can use software to unlock longer battery lifetimes, increased range, faster charging and predict safety issues. 

Elysia Battery Intelligence from Fortescue Zero is built on over 15 years of experience in electric motorsports. Elysia provides battery manufacturers and owners with actionable battery insights using Snowflake’s data platform as the backbone of their AI-driven battery analytics. In this session, Pezhman Zarabadi and Matt Clarke will demonstrate how Elysia are leveraging Snowflake to scale Elysia, enabling seamless conversion of innovative battery research to new features. They will also discuss Elysia’s recently announced collaboration with Jaguar Land Rover to monitor their entire portfolio of electric vehicles.

Snowflake had a big challenge: How do you enable a team of 1,000 sales engineers and field CTOs to successfully deploy over 100 new data products per week and demonstrate every feature and capability in the Snowflake AI Data Cloud tailored to different customer needs?

In this session, Andrew Helgeson, Manager of Technology Platform Alliances at Snowflake, and Guy Adams, CTO at DataOps.live, will explain how Snowflake builds and deploys hundreds of data products using DataOps.live. Join us for a deep dive into Snowflake's innovative approach to automating complex data product deployment — and to learn how Snowflake Solutions Central revolutionizes solution discovery and deployment to drive customer success.

Discover Sainsbury's journey of data democratisation through Snowflake's Data AI Cloud and how, by embracing the modern data platform, the team is transforming analytics, ML and access to data. From generating insightful reports to crafting machine learning models, we're personalising experiences for both our customers and colleagues. Every day, thousands of decisions are enhanced by this data-driven approach, showcasing Sainsbury's commitment to harnessing the power of data for retail excellence. Join us to learn how Sainsbury's leverages Snowflake to inform decisions and shape the future of retail.

Join us as we dive deep into the world of spatial analytics and discover how to leverage location data to its fullest potential. Whether you're working with massive datasets in a Spark environment, harnessing the power of cloud data warehouses like Snowflake, Redshift, or BigQuery, or analysing live data feeds in real time, this session will equip you with the tools and knowledge to:

• Uncover hidden patterns and trends in your data that traditional analytics might miss.

• Gain a deeper understanding of your customers and their behaviours.

• Optimise operations and improve efficiency.

• Make data-driven decisions with confidence.

Don't miss this opportunity to learn how spatial analytics can revolutionise your data platform and drive your business forward.

As organisations shift from generative AI proof of concepts to building production ready applications, the requirements for efficiency, monitoring, safety and governance become critical to both trust and success.

You will learn:

Key design patterns and methodology for evaluating, experimenting and monitoring enterprise gen AI apps to address common failure modes

The role of iteration and improvement as part of ongoing delivery

Practical considerations for implementation using examples from Snowflake’s Cortex Analyst, Cortex Search and TruLens, an open source project.