Accelerate
RETAIL & CONSUMER GOODS

VIRTUAL EVENT

TUESDAY, 29 APRIL | 9:30 AM BST / 10:30 AM CEST

Building Connected Consumer Experiences with Data + AI

RSVP TO ACCELERATE

ACCELERATE ENTERPRISE TRANSFORMATION.
INNOVATE AND COLLABORATE WITH THE POWER OF DATA + AI

With the right data, technology and access to the ecosystem, any retailers and brands can accelerate their business-critical workflows. Accelerate is Snowflake’s annual virtual event where industry leaders showcase and share how they’re accelerating with Snowflake’s AI Data Cloud. Learn about the blueprints of an enterprise data architecture that puts secure self-service data consumption at its core. Hear about the latest AI / ML use cases driving efficiencies, as well as new data experiences. And hear customer stories and real-world use cases that turn the art of the possible into real implementations.

WHY ATTEND

Learn What’s Top of Mind: Hear from executives and thought-leaders on their current and future priorities, as well as how they’re looking to further their partnership with Snowflake.
Hear Snowflake Success Stories: Hear directly from industry-leading organizations on how they are streamlining their data pipelines, tapping into their unstructured data, enabling internal data collaboration, and powering AI ROI with Snowflake.
Discover AI Data Cloud Use Cases: Learn about how you can implement gen AI use cases for both internal and commercial use cases – all with security and compliance at the forefront.

ACTION-PACKED AGENDA

SESSION DURATION SESSION DETAILS

40 Minutes

The 2025 Retail State of the Union

With a continuously changing macroenvironment and evolving customer demands, coupled with a more focused and nuanced understanding of the role of generative AI vs traditional AI/ML, 2025 will be a critical year for retailers and consumer goods companies to crystallise their data and AI strategy.

Join Paul Winsor, Retail Industry Principal at Snowflake, in a panel discussion with other industry leaders on the headwinds and opportunities executives need to consider as they build their enterprise data and AI strategy to fuel profit growth and improve customer experience.

20 minutes

ACCELERATE A FIRST-PARTY DATA STRATEGY

A first-party data strategy is helping retailers and brands to maintain direct control over high-quality, privacy-compliant data, enabling them to build better customer relationships, improve marketing efficiency and future-proof their operations. Hear how leading recipe kit company HelloFresh has adopted this approach with Snowplow and Snowflake at the core of its data stack, along with best practices for leveraging AI-ready behavioral data.

20 minutes

ACCELERATE A STRONG DATA FOUNDATION

As generative AI grabs the attention of investors and boards as the next technology transformation to unlock growth, retailers and brands have realised that there’s no AI strategy without a solid data strategy. Having a single source of truth for your data is the crucial foundational step. Hear directly from S Group, the leading retail cooperative in Finland, on their Snowflake journey so far and how a strong data foundation is driving enterprise transformation.

25 minutes

ACCELERATE AI-POWERED PERSONALISATION

With the power of AI, retail and brand marketing teams can now take their personalisation efforts beyond human scale, breaking free from the constraints of rule-based marketing and using AI to autonomously experiment and optimise every customer interaction. Hear how the marketing team at WHOOP, a leader in health tech, uses Hightouch and Snowflake to maximise customer lifetime value through AI-powered personalisation.

20 minutes

ACCELERATE RETAIL MEDIA SUCCESS

Retail media has expanded to be the next growth lever for both retailers and brands to deliver personalised recommendations with a customer 360 view. However, being compliant with data privacy regulations is a key prerequisite. Hear how leading media group Schibsted is approaching this opportunity and sees the role of off-site retail media playing out in 2025 and beyond, through the lens of their use of the Snowflake AI Data Cloud.