Join Prabhath Nanisetty, Industry Principal of Retail Data and Q-Commerce at Snowflake, to see how the Retail Data Cloud will accelerate your data and AI transformation initiatives. In this session, we will share what we’re hearing from industry executives globally and how the Retail Data Cloud is maturing to meet their needs. And we will outline how you can simplify, scale and accelerate your enterprise data strategy to meet your business objectives.
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Explore How to Build Data, Apps and AI Strategies
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ACCELERATE WITH DATA, APPS AND AI
As retail and consumer goods firms innovate to meet the needs of an evolving landscape, building a scalable enterprise data strategy is critical, yet often challenging. During this virtual event, learn how retail data leaders are crafting their data strategies to power business use cases, workloads and transformation initiatives, including generative AI. Hear directly from technology and business leaders on their executive priorities, best practices and potential data and AI challenges that will be top-of-mind for 2024.
Why attend
GET READY TO simplify, SCALE AND ACCELERATE
Complexity is commonplace when it comes to the data estates in the Retail and Consumer Goods industry. At Accelerate Retail, learn about how industry leaders are simplifying their data foundations, scaling with data collaboration and native applications, and accelerating with AI. Hear directly from industry executives on what’s top of mind and what to watch out for in 2024. And see live demos that showcase how customers are leveraging Snowflake’s latest capabilities and what that means for their businesses.
Agenda
As retail organizations look to adopt new technologies like generative AI or implement their transformation agendas, a robust enterprise data strategy is becoming more critical than ever. In this session, learn how organizations are partnering with Snowflake to simplify their data foundation by bringing their data together onto a single platform, enhancing their security and governance controls, and thinking about connectivity and resilience. You’ll also get to hear from a leading retail company on how they simplified their data foundation with Snowflake.
Ultimately, Retail and Consumer Goods businesses must leverage data to generate insights, delight customers and optimize operations. For many, applications are becoming the best way to derive value from that data, both internally and externally. In this session, hear about how industry-leading organizations are turning to Snowflake to help translate this data into business and commercial outcomes through Snowflake Marketplace, data apps and native apps. This session includes demos.
No other technology has captured the attention and imagination of the retail industry as much as generative AI. In this session, discover how organizations are building AI strategies with cloud and enterprise data initiatives—and where Snowflake fits into this transformation journey. Hear about the key business use cases applied with generative AI and where the industry is investing and applying this technology over the next three to five years.
Hear directly from industry leaders across the retail landscape on how they are driving data, technology and organizational transformation within their companies. This session will explore what is top of mind for these executives, what business and technology challenges they’re looking to solve, how they have partnered with Snowflake and where they see the industry moving.
Speakers
Rosemary DeAragon
Global Industry GTM Lead for Retail and Consumer Goods, Snowflake
Prabhath Nanisetty
Industry Principal, Retail Data & Q-Commerce, Snowflake
Trevor Kaplan
Senior Sales Engineer, Snowflake
Brian Stanley
Senior Sales Engineer, Snowflake
Valentine Fontama
PhD, Senior Principal Sales Engineer, Snowflake
Lisa Cramer
Head of Embedded Products, LiveRamp
Shanthi Rajagopalan
Head of WW Solutions Sales Strategy, Retail & CPG, MSFT
Alex Izydorczyk
Founder, Cybersyn
Pat Nestor
Global Head of Analytics Products, Kraft Heinz
Bridges Smith
Head of Product, Seek AI