EY at Snowflake Summit 2026

Transform your Summit experience by joining EY at Summit, 1-4 June 2026 in San Francisco! Everything you need to know to connect with us.

Join us at Snowflake Summit

Moscone Center, San Francisco

June 1 – 4

Executive Meeting Room #4008

Explore the innovations shaping data and AI’s true potential with confidence.

Connect with us

Young smiling asian woman wearing suit using mobile phone while sitting on stairs indoors

How can you confidently use data and AI to create new value?

Find out when you join EY, a proud Black Diamond sponsor.

From data platforms to enterprise value, EY and Snowflake help leaders turn AI into advantage. From AI-ready data to agentic AI, learn how we’re driving innovations that unlock value with AI data cloud solutions. Transform with confidence!

Learn about the EY-Snowflake Alliance

Visit our alliance page.

Learn more

Speaker sessions


Date	Time in PT	Session	Venue
Tuesday, 2 June	1:00 p.m.–1:20 p.m.	Discover how EY, in collaboration with Snowflake and Canva, is revolutionizing enterprise sales with an agentic AI platform that is supporting sellers to sell more, faster and better, while significantly increasing their time actually selling to customer through an agentic AI orchestrated and AI-driven platform. Speakers: Duncan Avis, EY Americas Customer and Growth Leader, and Mark Rupert, Americas General Manager and Vice President of Sales, Canva Enterprise, Canva	Center Meeting Room 4008


Date	Time in PT	Session	Venue
Monday, 1 June	1:30 p.m.–1:50 p.m.	Global financial services firms operate where regulation, capital and trust collide. For private equity and their investors, unlocking tax value depends on understanding relationships across entities, partners, deals and jurisdictions — yet the data is often trapped in spreadsheets. In this session, we explore how a PE-backed global firm is rebuilding its tax data foundation on Snowflake, turning fragmented records into a connected, insight-driven platform that unlocks transparency, allows risk analysis to drive decisions and cut review hours in half. Speakers: Claire Callahan, Partner, Financial Services Future of Work, AI & Data Strategy Leader, Ernst & Young LLP, and Michael Tran, Tax, Technology and Transformation Leader, Ernst & Young LLP	TBC


Date	Time in PT	Session	Venue
Wednesday, 3 June	11:30 a.m.–12:15 p.m.	Organizations have invested heavily in AI, yet many struggle to show tangible value. Despite strong strategies, major spend and numerous pilots, outcomes often fall short—productivity gains are uneven, impact is hard to measure and transformation hasn’t scaled as expected. In this candid panel, industry and technology leaders move beyond success stories to examine real AI value creation, sharing where investments delivered results, where they stalled and what enabled some to break through. This discussion explores how data readiness, operating models, governance and platform choices determine whether AI becomes lasting business value or remains an experiment. Panelists: Farooque Munshi, Partner, Technology Consulting, Ernst & Young LLP; Subin Abraham, Director of Data & Analytics, Daikin; Krithika Venkat, Managing Director, Head, WM Technology	TBC


Date	Time in PT	Session	Venue
Thursday, 4 June	1:00 p.m.–1:45 p.m.	Water is our most vital resource, yet its quality remains a global puzzle. Using some of the 26 million data points from the UN Environment Programme, participants of the 2026 EY AI and Data Challenge developed machine learning (ML) models to uncover the environmental drivers of water quality. But how do we move from a challenge competition to real-world usability? This panel explores the commercialization roadmap for water-quality AI. We address: Expanded data needs Improvements to model accuracy Funding and partnerships Speaker: Brian Killough, AI & Data Challenge Director, Ernst & Young LLP	ML102

EY executive forum


Date	Time in PT	Session	Venue
Tuesday, 2 June	1:00 p.m.–1:45 p.m.	As AI adoption accelerates across finance, organizations are under increasing pressure to deliver measurable business value while rethinking data foundations, controls, operating models and talent strategies. Join industry leaders for a candid, peer-driven discussion that cuts through the hype to focus on real-world outcomes — where AI is driving impact, where it still falls short and what it takes to scale responsibly in highly regulated environments. Discover how leading organizations are transforming finance to be faster, more intelligent and more predictive — without compromising trust. Speaker: Natasha Malik, Partner, Technology Consulting, Ernst & Young LLP Request to attend	Executive Meeting Room #4008


Date	Time in PT	Session	Venue
Tuesday, 2 June Wednesday, 3 June	2:00 p.m.–2:45 p.m. 3:00 p.m.–3:45 p.m.	Discover how EY, in collaboration with Snowflake and Canva, is revolutionizing enterprise sales with an agentic AI platform that is enabling sellers to sell more, faster and better, while significantly increasing their time actually selling to customers through an agentic AI-orchestrated and AI-driven platform. Speaker: Duncan Avis, EY Americas Customer and Growth Leader Request to attend	Executive Meeting Room #4008


Date	Time in PT	Session	Venue
Wednesday, 3 June	11:00 a.m.–11:45 a.m.	As data modernization accelerates, organizations face challenges like legacy code complexity and limited engineering resources. AI-powered coding agents are transforming how data platforms are built, optimized and migrated. This EY-led interactive discussion will feature a live demonstration and practical insights on how AI-assisted code generation can shorten modernization timelines, boost developer productivity, and enhance performance. We will also address important topics around trust, governance and responsible AI adoption. Speaker: Suresh Babu, Senior Manager, Technology Consulting, Ernst & Young LLP Request to attend	Executive Meeting Room #4008


Date	Time in PT	Session	Venue
Wednesday, 3 June	12:30 p.m. – 2:00 p.m.	As generative AI moves from experimentation to execution, the main challenge is no longer the models but data consistency and meaning. Inconsistent metrics, unclear entities and limited business context hinder scalable, trusted AI. Join our exclusive EY executive forum - an interactive session for senior leaders exploring when semantic layers and ontologies enhance AI outcomes versus when they add complexity. We’ll discuss key trade-offs in modernizing data estates and provide a practical framework to decide when robust semantics are needed or lighter approaches suffice. This session helps leaders challenge assumptions, learn from peers and make confident, experience-based decisions about AI-ready data in the Lakehouse era. Speakers: Farooque Munshi, EY Americas Data and AI Advanced Manufacturing Leader, and Alaina Reasonover, Managing Director, Artificial Intelligence and Data, Ernst & Young LLP Request to attend	Executive Meeting Room #4008


Date	Time in PT	Session	Venue
Tuesday, 2 June Wednesday, 3 June	3:00 p.m.–3:45 p.m. 2:15 p.m.–3:00 p.m.	Many organizations struggle with data silos that limit agility, drive up costs and slow AI adoption. At this EY executive forum, learn how EY, Snowflake and SAP teams are working together to help organizations transform fragmented data into actionable, AI-powered insights at scale. Discover how this joint approach combines SAP’s trusted data, Snowflake’s Data and AI Enterprise Platform and EY’s transformative deep domain experience to deliver faster time-to-value, real-time access to harmonized data and governed, high-quality data foundations. The result: scalable innovation using the power of advanced analytics and AI to help enable faster insights to action. Speakers: Sree Tata, Data Managing Director, Ernst & Young LLP; Alaina Reasonover, Managing Director, AI and Data, Ernst & Young LLP; Hari Nimmala, Senior Manager, SAP Data & Analytics, Ernst & Young LLP Request to attend	Executive Meeting Room #4008

Snowflake Summit 2025 – Global EY alliance leaders share their thoughts

Data interoperability: Insights on the EY-Snowflake Alliance

Phil Andriyevsky, Financial Services AI & Data Leader, Matt Barrington, EY Americas Chief Technology Officer, Joslyn Jones, EY Global Growth and Innovation Leader, and Rich Preece, EY Global GTM Lead, Snowflake Alliance, shared their views on the combination of Snowflake’s data interoperability and EY’s ecosystem orchestration.

How does agentic AI impact business operations?

Ken Priyadarshi, EY Global Prompt Engineering Lead, Matt Barrington, and Mike Flynn, EY Technology Sector Consulting Leader, shared real-world examples of the impact of agentic AI.

Why is data modernization critical for AI initiatives?

Simon Barclay, UK Financial Services AI & Data Leader, Sampath Parthasarathy, Managing Director - Data Modernization, and Rich Preece shared their thoughts on the impact of data modernization on AI initiatives.

EY-Snowflake Alliance

Discover how the EY-Snowflake Alliance helps companies seamlessly transform their data into business value. Learn more.
Read more
Data Modernization Services

EY and Snowflake help organizations modernize and migrate data platforms, powering AI-ready capabilities, driving growth and cost savings. Learn more.
Read more

Our team at Summit

Frank Gucciardo

EY Global Snowflake Alliance Relationship Director

Collaboration and ecosystems advocate. Continually striving to build efficiencies in the business. Devoted husband and father. Travel enthusiast.

Rich Preece

EY Global Snowflake Alliance Sales Lead

Ecosystem and Alliances thought-leader. Passionate about long-term value creation for EY clients by leveraging our ecosystem of partners. Rugby, paddle tennis and family are the life balance.

Zakir Hussain

EY Americas Data Leader

Providing data-driven services with the right mix of people, knowledge and advanced technology to stay ahead of the market. Father of two. Runner. Snowboarder. Passionate mentor of future leaders.

Patrick Siconolfi

Partner, Data and Analytics, Ernst & Young LLP

Data, analytics and AI professional. Passionate about unlocking data value. Focused on delivering successful data transformations.

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.