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Snowflake Forum Zurich

5 NOVEMBER 2026

AGENDA

The detailed agenda is designed to help you structure your day—choose sessions that align with your interests and manage your time effectively throughout the event. Agenda is subject to change

 

9:00 – 10:15
Registration & Partner Expo

Grab a freshly brewed coffee from our on-site barista, enjoy a complimentary breakfast, and ease into the day with fun activities and great conversations. It’s your chance to meet the team, explore our Partner Expo, and connect with the people and solutions shaping what’s next — all before the main program even begins.

 

10:15 – 10:20
Opening & Welcome

Michael Wieland, RVP Central

Siniša Mitrovic, Country Lead Switzerland & Austria

10:20 – 10:55
Business & Product Keynote: What's New

Jeremy Burton, General Manager, Observability

Zara Gebru, Solution Engineer

Fabian Schramm, Data & AI Strategist

10:55 – 11:15
Customer Story by Nestlé: Building the Intelligent Finance Enterprise on Snowflake

Laura Vacotto, Head of Finance Technology, Nestlé

11:15 – 12:30
Networking & Lunch Break

12:30 – 17:10
Breakout Sessions and Technical Deep-Dives
Track 1
Breakout Sessions

12:30 – 12:55

MERCK & UNIT8:
Adoption of Snowflake in a multiplatform strategy, and the use of Cortex Code in large-scale migrations
Description

13:10 – 13:35

THOUGHTSPOT & FRONTIFY:
Ship More with Less – From Self-Service Analytics to AI Agents

Description

13:50  – 14:15 

ABB:
What comes after data? - Turning analytics and AI into business value

Description

14:30  – 14:55 

REWE Group: Navigating Agentic AI: How REWE Prioritizes, Builds, and Scales Capabilities

Description

14:55  – 15:30

Coffee Break

15:30 – 15:55 

SGS:
Trust by design: How SGS Finance put a governed AI agent into production
Description

16:10  – 16:35 

SPENDSCAPE BY MCKINSEY:
From Spend Data to Strategic Decisions: AI-Powered Procurement Intelligence
Description

16:50  – 17:15

GALDERMA:
Bringing Unstructured Data Back to Life: AI in R&D and Regulatory Audits
Description

12:30 – 12:55

MERCK & UNIT8:
Adoption of Snowflake in a multiplatform strategy, and the use of Cortex Code in large-scale migrations

     

Customer: Merck

Partner: Unit8 SA

Abstract: What does it take to make Snowflake the backbone of a healthcare company’s data operations? This session shows how Unit8 designed and implemented Snowflake as a first-class platform for Merck Healthcare’s core data use cases, migrating its dbt Cloud workloads into Snowflake and building data operations around Snowflake Cortex and AI. It also asks a bigger question: how is AI reshaping the way data teams work with Snowflake day-to-day? A real-world look at delivering an AI-native Snowflake platform, from the team that built it.

 

  • Sylvain Cecilio

    Architect Lead, Merck Healthcare

  • Matej Petrik

    Snowflake Practice Lead, Unit8

13:10 – 13:35

THOUGHTSPOT & FRONTIFY:
Ship More with Less – From Self-Service Analytics to AI Agents

Customer: Frontify

Partner: Thoughtspot

Abstract: How do you scale data and analytics across an entire business while cutting resources in half? Frontify’s journey from a three-person data team and month-long reporting cycles to trusted, self-service analytics enabled the business to serve 50% more users with 50% fewer resources and created the foundation for its next transformation: AI agents. In this session, we’ll explore how trusted data, verified KPIs, and the right operating model can help organizations ship more value with less while moving from self-service analytics toward agentic analytics.

  • Katrin Rösing

    Principal AI Outcomes Manager, ThoughtSpot

  • Michal Lapinski-Kleber

    Head of Data, Frontify

13:50  – 14:15 

ABB:
What comes after data? - Turning analytics and AI into business value

Customer: ABB

Abstract: Having the data is the easy part. Turning it into something the business actually uses is much harder. This session explores what it takes to build analytics at scale: from connecting complex enterprise data and embedding insights into business decisions, to driving adoption and experimenting with AI. A practical look at what happens after the data is there, and how to turn it into real business value.

  • Mircea Zamfir

    Head of Business Insights, ABB

    Mircea is a data and analytics leader at ABB with over 20 years of experience across technology, analytics, and operations. He is passionate about turning data into tangible business outcomes and bringing business and technology teams together to solve complex, real-world problems. Throughout his career, Mircea has used data, advanced analytics, and, more recently, AI to rethink traditional ways of working - from improving processes and strengthening compliance to identifying cash recovery opportunities and driving operational efficiency. He is particularly interested in moving analytics and AI beyond experimentation and into practical solutions that deliver measurable value at scale.

14:30  – 14:55 

REWE Group: Navigating Agentic AI: How REWE Prioritizes, Builds, and Scales Capabilities

Customer: REWE Group

Abstract: As Agentic AI moves from concept to implementation, organizations face new questions around prioritization, governance, and scaling. In this session, REWE Group shares its framework for structuring AI and agentic initiatives across key domains and making build-versus-buy decisions. We will present first experiences from Agentic Engineering, Agentic BI powered by Snowflake, and Agentic Commerce, including lessons learned from early implementations and enterprise adoption.

 

  • Dr. Lorenz Determann

    Director Analytics, REWE Group

  • Dr. Uta Schier

    Lead eCommerce Analytics, REWE Group

15:30 – 15:55 

SGS:
Trust by design: How SGS Finance put a governed AI agent into production

   

Customer: Société Générale de Surveillance (SGS SA)

Abstract: SGS is the world’s leading testing, inspection, and certification company; its business is built on trust. So when the Finance team brought AI into its reporting, the bar was clear: the AI had to be as dependable as the numbers it produced.
Angel Marquez Vargas (Data Architect) and Elin Garin (Finance) tell that story from both sides. Angel walks through the build — moving finance data from an Oracle/Hyperion world into Snowflake and standing up a governed Cortex Agent for reporting, with security, auditability, and cost kept under control through model choice.
Elin shows what it looks like in daily use: business users asking their own questions across sales bridges, year-over-year analysis, and segment-level forecasting— and a capability Finance is now cascading across the function.

  • Angel Marquez Vargas

    Data Architect, SGS

    Leads the data platform behind SGS's move to Snowflake and built the governed Cortex Agent now live in Finance reporting.

  • Elin Garin

    Finance, SGS

    Business owner of the Finance reporting agent, driving day-to-day adoption and rollout across the Finance function.

16:10  – 16:35 

SPENDSCAPE BY MCKINSEY:
From Spend Data to Strategic Decisions: AI-Powered Procurement Intelligence

Customer: McKinsey

Abstract: This session presents Spendscape by McKinsey, an AI- and generative-AI-powered spend analytics solution that transforms fragmented procurement data into a transparent, organization-wide view of spend. Built on a modern data backbone powered by Snowflake, Spendscape automates data categorization, surfaces actionable insights, and lets procurement leaders “chat with their data” to shape decisions across category strategy, supplier relationships, risk, and carbon transparency – turning spend transparency into lasting strategic advantage.

 

  • Kamil Piaseczny

    Business Development Lead, Spendscape by McKinsey

  • Victor Parmar

    Sr Asset Leader/Associate Partner, Spendscape by McKinsey

16:50  – 17:15

GALDERMA:
Bringing Unstructured Data Back to Life: AI in R&D and Regulatory Audits

Customer: Galderma

Abstract: This session will present two real-world examples of how Galderma transformed large volumes of unstructured information into actionable knowledge. The first case covers the ingestion of 90,000 legacy R&D documents in Uppsala, making previously inaccessible scientific knowledge searchable and reusable. The second shows how we used Snowflake and new AI technologies to process gigabytes of video content, supporting our teams during an official audit.

 

  • Edoardo Tersigni

    Head of AI, Galderma

Track 2
Breakout Sessions

12:30 – 12:55 

PICTET & ARGUSA:
Beyond the Bill: Building Native Snowflake Cost Visibility and Governance

Description

13:10  – 13:35

DELOITTE & SANOFI:
Concierge for Field Force - How Sanofi enabled sales representatives with Agentic CRM capabilities
Description

13:50 – 14:15

AUXMONEY KREDIT & INFOMOTION:
How Snowflake and AI Facilitate Efficiency at auxmoney
Description

14:30 – 14:55

SIEMENS:
Industrial AI to Boost Shop Floor Productivity at Scale

Description

14:55  – 15:30

Coffee Break

15:30 – 15:55

BANK VONTOBEL:
How to Accelerate Your Business AI Use-Cases with Snowflake Frontier Engineering
Description

16:10 – 16:35

KOMMUNALKREDIT & BANK OF INTERNATIONAL SETTLEMENTS: Panel Discussion

Description

16:50 – 17:15 

SWISS LIFE ASSET MANAGERS:
From Data Platform to Entreprise Platform

Description

12:30 – 12:55 

PICTET & ARGUSA:
Beyond the Bill: Building Native Snowflake Cost Visibility and Governance

Customer: Pictet

Partner: Argusa

Abstract: Discover how to build native Snowflake solutions that give teams real-time cost visibility, strengthen governance, and enable self-service optimisation. This session includes a live demo of Streamlit apps, CoWork, and other Snowflake-native capabilities that help organisations control spend while accelerating innovation.

 

  • William Kalderon

    Data Consultant, Argusa

  • Benjamin Marie

    Data Platform Product Owner, Pictet Asset Management

13:10  – 13:35

DELOITTE & SANOFI:
Concierge for Field Force - How Sanofi enabled sales representatives with Agentic CRM capabilities

Customer: Sanofi

Partner: Deloitte

Abstract: Sanofi, together with Deloitte, built an AI-powered “Concierge” that acts as an intelligent assistant for field sales representatives — from automated call preparation to data-driven next-best-action recommendations. This session explores how agentic AI capabilities are transforming CRM workflows and empowering Sanofi’s Field Force to engage healthcare professionals faster, smarter, and more effectively.

  • Remi Chossinand

    Global Owner of Omnichannel AI Engine, Sanofi

  • Dejana Vuckovic

    AI & Data Manager, Deloitte

13:50 – 14:15

AUXMONEY KREDIT & INFOMOTION:
How Snowflake and AI Facilitate Efficiency at auxmoney

Customer: Auxmoney Kredit

Partner: Infomotion

Abstract: In a world where data is the driving force behind financial innovation, auxmoney has fundamentally transformed how it manages and leverages data. In this session, we showcase the auxmoney journey—from establishing a robust data foundation on Snowflake to the democratization of AI-powered analytics. Learn how we ensure governance and data quality while scaling our Snowflake platform, and discover how we empower our business analysts to answer complex data questions independently and efficiently through the use of Snowflake (Cortex/CoCo).

  • Marius Garbowski

    VP Data & Analytics, Auxmoney

14:30 – 14:55

SIEMENS:
Industrial AI to Boost Shop Floor Productivity at Scale

Customer: Siemens

Abstract: Coming soon

 

  • Alexander Dierolf

    Head IT Value Center, Data Intelligence & Automation, Siemens

  • Johannes Kupser

    Chief Product Owner for Industrial AI, Siemens

15:30 – 15:55

BANK VONTOBEL:
How to Accelerate Your Business AI Use-Cases with Snowflake Frontier Engineering

Customer: Bank Vontobel AG

Abstract:

In this session we share how the Business AI Accelerator engagement motion takes use cases from idea to production in weeks, not quarters – while turning business stakeholders into self-sufficient Snowflake users. Drawing on Bank Vontobel’s partnership with Snowflake’s Frontier Engineering team, we walk through the results achieved, what changed for the business teams involved, and the services methodology behind it. Attendees will leave knowing how a Business AI Accelerator engagement is structured and how to partner with Frontier Engineering.
  • Zibi Giza

    Business Risk Manager / BI Developer, Bank Vontobel AG

  • Manuel Vogel

    Sr. Services Solutions Manager, Snowflake

16:10 – 16:35

KOMMUNALKREDIT & BANK OF INTERNATIONAL SETTLEMENTS: Panel Discussion

Customer: Kommunalkredit & Bank of International Settlements

Abstract: Coming soon

  • Marko Petric BIS

    Marko Nanut Petric

    Technology Strategy and Innovation Lead, Swiss National Bank (SNB)

  • Nela Horakova

    Data Management & Reporting Team Lead, Kommunalkredit

16:50 – 17:15 

SWISS LIFE ASSET MANAGERS:
From Data Platform to Entreprise Platform

Customer: Swiss Life Asset Managers

Abstract: Join us for a storytelling walkthrough of our journey with Snowflake. We’ll trace our evolution from onboarding core data engineering workloads to building out a complete enterprise platform. You’ll get an insider look at real-world use cases powered by Snowflake data—and see how we’re hosting and running those solutions directly on Snowflake itself.

  • Christopher Glass

    Swiss Life Asset Managers, Director of Engineering

Track 3
Breakout Sessions

12:30 – 12:55 

SNOWFLAKE:
How to Govern your AI-infrastructure Layer


Description

13:10 – 13:35

SNOWFLAKE:
What’s New: Snowflake CoWork and Cortex Agents for Real Business Impact
Description

13:50  – 14:15 

SNOWFLAKE: FinOps for Snowflake AI:
Cost & Governance

Description

14:30 – 14:55 

SNOWFLAKE:
Zero-Copy, Bidirectional Integrations: SAP, Salesforce, Workday and Beyond
Description

14:55  – 15:30

Coffee Break

15:30 – 15:55

SNOWFLAKE:
AI-first agile Enterprise BI


Description

16:10 – 16:35

BOOKING.COM:
Scaling AI Analytics with Cortex at Booking.com

Description

16:50 – 17:15

ROCHE



Description

12:30 – 12:55 

SNOWFLAKE:
How to Govern your AI-infrastructure Layer


Enterprises are moving from a handful of AI tools to fleets of agents — Gartner expects the average Fortune 500 company to run more than 150,000 agents by 2028, a category that barely existed in 2025. Yet the infrastructure beneath them is a patchwork: separate vendor APIs, MCP servers, and model-hosting stacks, each with its own security posture, billing relationship, and governance gap.

This session shows how the Snowflake Cortex AI Gateway consolidates that layer: one governed, frontier-compatible endpoint for any model, a managed MCP gateway (from the Natoma acquisition) that enforces identity and audit at the tool-call level, and unified observability and cost control for both Snowflake-native and third-party agents.

We finish with the resilience and cost question — when shared API access is enough, and when it pays to host your own model.

  • Daniel Toth

    Senior Solution Engineer

13:10 – 13:35

SNOWFLAKE:
What’s New: Snowflake CoWork and Cortex Agents for Real Business Impact

In this session, we’ll explore how autonomous AI agents are redefining work: from reactive querying to proactive intelligence, and from manual pipeline building to natural-language development. You’ll see how Snowflake CoWork gives every knowledge worker a personal agent that understands enterprise data from day one, answers complex “why” questions with cited research, and runs work on demand — while Cortex Code (CoCo) empowers builders to go from idea to production-ready pipelines, analytics, and AI apps in minutes, all in natural language.

  • Pascal Baur

    Sr. Solution Engineer, Snowflake

13:50  – 14:15 

SNOWFLAKE: FinOps for Snowflake AI:
Cost & Governance

 

 

  • Fabian Gampfer

    Fabian Gampfer Principal AI Specialist

14:30 – 14:55 

SNOWFLAKE:
Zero-Copy, Bidirectional Integrations: SAP, Salesforce, Workday and Beyond

Coming soon

  • Benedikt Engel

    Principal Solution Engineer, Snowflake

15:30 – 15:55

SNOWFLAKE:
AI-first agile Enterprise BI


AI-first BI focuses on agile, yet sharable and reproducible analytics supported by AI rather than rebuilding BI. While classical dashboards can surface data, they suffer from the passivity disadvantage – you can drill down into what has been prepared, but getting answers to “Why?” questions might require a lengthy request-rebuild chain. During this talk we will show you how to create, use and share BI outputs natively in Snowflake.

  • Theodor Gosden

    Sr. Manager, Software Engineering, Observe

16:10 – 16:35

BOOKING.COM:
Scaling AI Analytics with Cortex at Booking.com

Customer: Booking.com

Abstract: Booking.com has scaled AI-powered analytics with Cortex from an initial PoC to an enterprise capability supporting more than 1,000 users and over 10,000 tables. In this session, we will share how we enabled Cortex and semantic layers centrally while maintaining strong governance, consistent business definitions and trusted access to data. Attendees will leave with practical insights into expanding governed AI analytics across a large organization.

  • Marat Seferbekov

    Booking.com, Senior Engineering Manager

  • Piotr Paczewski

    Snowflake, Senior Solutions Architect

16:50 – 17:15

ROCHE



Customer: Roche

Abstract: Coming soon

  • Pierre Fischer

    Global Head Data Warehouse, Lakes & Stores, Roche

Track 4
Breakout Sessions

12:30 – 12:55

SNOWFLAKE:
Navigating the Future of Sovereignty: Snowflake’s Vision and Architecture

Description

13:10 – 13:35

OBSERVE BY SNOWFLAKE:
What’s New: AI-Powered Observability at Scale

Description

13:50 – 14:15

SNOWFLAKE:
Internal Marketplace 2.0: Sharing AI-Ready Data Products in the Organization
Description

14:30 – 14:55

SNOWFLAKE:
How Finance Teams Drive Smarter Decisions with Snowflake

Description

14:55 – 15:30

Coffee Break

15:30 – 17:15

HANDS-ON-LAB:
From Raw Data to AI Agent in 90 Minutes

Please note: A separate registration is required.

>> CLICK HERE












Description

12:30 – 12:55

SNOWFLAKE:
Navigating the Future of Sovereignty: Snowflake’s Vision and Architecture

  • Margarete McGrath

    RVP

  • Seth Youssef

    Head of AI & Data Sovereignty EMEA

13:10 – 13:35

OBSERVE BY SNOWFLAKE:
What’s New: AI-Powered Observability at Scale

  • Matthias Rost

    Sr. Manager, Software Engineering, Observe

13:50 – 14:15

SNOWFLAKE:
Internal Marketplace 2.0: Sharing AI-Ready Data Products in the Organization

  • Nicole Vollmer

    Sr. Technical Architect

14:30 – 14:55

SNOWFLAKE:
How Finance Teams Drive Smarter Decisions with Snowflake

  • Mark Deprez

    AI Solutions Specialist

15:30 – 17:15

HANDS-ON-LAB:
From Raw Data to AI Agent in 90 Minutes

Please note: A separate registration is required.

>> CLICK HERE












REGISTER HERE

Every participant gets their own Snowflake account loaded with 1.2 billion rows of real sales data. Using Cortex Code, Snowflake’s AI coding assistant, you’ll build a complete analytics stack from scratch — no prior experience needed.

90 minutes | Fully guided & hands-on

Bring your laptop — no prior Snowflake experience required

 

THREE STEPS, ONE POWERFUL OUTCOME:

– Dynamic Tables — Transform raw data into analytics-ready models. Cortex Code generates incremental Dynamic Tables that refresh automatically — no scheduling, no orchestration code.

– Semantic View — Define your metrics once, use them everywhere. Dimensions, measures, joins, and business metrics like fulfillment rate — all captured in a single YAML file.

– Cortex Agent & CoWork — Deploy an AI agent that answers natural-language questions grounded in your semantic view. Test it in CoWork and make it available to your business users.

WHAT YOU’LL WALK AWAY WITH:

– A working Snowflake account with your own analytics stack

– Hands-on experience with Cortex Code, Dynamic Tables, Semantic Views, and Agents

– A governed metric defined once in your semantic layer, consumed by every downstream user

– A Snowflake account you keep to continue experimenting after the session

  • Gael Charriere

    Principal Solution Engineer, Snowflake

17:15 – 19:00
Drinks Reception

Cap off the day with refreshments as we network and celebrate—the perfect finish before you head out for your own dinner plans

TO REGISTRATION PAGE

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