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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
10:15 – 10:55
Business & Product Keynote
10:55 – 11:15
Customer Presentation
11:15 – 12:30
Networking & Lunch Break
12:30 – 17:10
Breakout Sessions and Technical Deep-Dives
Track 1
Customer & Industry 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

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

Description

13:50  – 14:15 

Customer Session
(to be announced)
Description

14:30  – 14:55 

Swiss Life Asset Managers:
From Data Platform to Entreprise Platform
Description

14:55  – 15:30

Coffee Break

15:30 – 15:55 

Customer Session
(to be announced)
Description

16:10  – 16:35 

Spendscape by McKinsey:
From Spend Data to Strategic Decisions: AI-Powered Procurement Intelligence
Description

16:50  – 17:15

Customer Session
(to be announced)
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: Coming soon

Industry: Healthcare & Life Science

  • Speaker: To be announced

    Merck

  • Speaker: To be announced

    Unit8

13:10 – 13:35

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.

Industry: Travel

  • Marat Seferbekov

    Booking.com, Senior Engineering Manager

  • Piotr Paczewski

    Snowflake, Senior Solutions Architect

13:50  – 14:15 

Customer Session
(to be announced)

Customer: Coming soon

Abstract: Coming soon

Industry: Coming soon

  • Speaker: To be announced

14:30  – 14:55 

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.

Industry: Financial Services

  • Christopher Glass

    Swiss Life Asset Managers, Director of Engineering

15:30 – 15:55 

Customer Session
(to be announced)

Customer: Coming soon

Abstract: Coming soon

Industry: Coming soon

  • Speaker: To be announced

16:10  – 16:35 

Spendscape by McKinsey:
From Spend Data to Strategic Decisions: AI-Powered Procurement Intelligence

Customer: McKinsey

Abstract: coming soon

Industry: Consulting

  • Kamil Piaseczny

    Business Development Lead, Spendscape by McKinsey

  • Victor Parmar

    Sr Asset Leader/Associate Partner, Spendscape by McKinsey

16:50  – 17:15

Customer Session
(to be announced)

Customer: Coming soon

Abstract: Coming soon

Industry: Coming soon

 

  • Speaker: To be announced

Track 2
Customer & Industry Sessions

12:30 – 12:55 

Pictet & Argusa:
Beyond the Bill: Building Native Snowflake Cost Visibility and Governance
Description

13:10  – 13:35

Deloitte & Customer:
(to be announced)

Description

13:50 – 14:15

Auxmoney Kredit & Infomotion:
How Snowflake and AI Facilitate Efficiency at auxmoney
Description

14:30 – 14:55

Customer Session
(to be announced)
Description

14:55  – 15:30

Coffee Break

15:30 – 15:55

Vontobel
(to be announced)
Description

16:10 – 16:35

Customer Session
(to be announced)
Description

16:50 – 17:15 

Customer Session
(to be announced)
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.

Industry: Financial Services

  • William Kalderon

    Data Consultant, Argusa

  • Benjamin Marie

    Data Platform Product Owner, Pictet Asset Management

13:10  – 13:35

Deloitte & Customer:
(to be announced)

Customer: coming soon

Partner: Deloitte

Abstract: coming soon

Industry: coming soon

  • Speaker: To be announced

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).

Industry: Financial Services

  • Marius Garbowski

    VP Data & Analytics, Auxmoney

14:30 – 14:55

Customer Session
(to be announced)

Customer: Coming soon

Abstract: Coming soon

Industry: Coming soon

  • Speaker: To be announced

15:30 – 15:55

Vontobel
(to be announced)

Customer: Vontobel

Abstract: Coming soon

Industry: Financial Services

  • Speaker: To be announced

16:10 – 16:35

Customer Session
(to be announced)

Customer: Coming soon

Abstract: Coming soon

Industry: Coming soon

  • Speaker: To be announced

16:50 – 17:15 

Customer Session
(to be announced)

Customer: Coming soon

Abstract: Coming soon

Industry: Coming soon

  • Speaker: To be announced

Track 3
Technical Snowflake Sessions

12:30 – 12:55 

Snowflake:
One Platform, Any Model: Your Enterprise 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:
AI-first agile Enterprise BI
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

What’s New: AI-Powered Observability at Scale with Observe by Snowflake
Description

16:30 – 18:00 (90 min)

Hands-On-Lab:
Data Intelligence with Snowflake CoCo - Build an End-to-End Application on Snowflake
(Northstar Workshop)




Description

12:30 – 12:55 

Snowflake:
One Platform, Any Model: Your Enterprise AI Infrastructure Layer

AI teams today are stitching together multiple vendor APIs, MCP servers, and model hosting solutions across a fragmented stack – each with its own security posture, billing relationship, and governance gap. Snowflake changes this.

In this session, we show how Snowflake’s Cortex REST API acts as a vendor-agnostic LLM router: a single, OpenAI-compatible endpoint that routes to multiple different models – all within the Snowflake security perimeter, with unified RBAC, zero data retention at inference time, and a single Snowflake credit contract.

We then explore Snowflake’s managed MCP gateway, enabled through the Natoma acquisition: a secure transit layer that enforces identity verification, audit logging, and security policy at the tool-call level – letting AI agents safely reach enterprise systems without breaking governance.

Finally, we tackle the business resilience and cost question: When does it make sense to move beyond shared API access and 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:
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. Solution Engineer, Snowflake

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

What’s New: AI-Powered Observability at Scale with Observe by Snowflake
  • Matthias Rost

    Sr. Manager, Software Engineering, Observe

16:30 – 18:00 (90 min)

Hands-On-Lab:
Data Intelligence with Snowflake CoCo - Build an End-to-End Application on Snowflake
(Northstar Workshop)




Please note: For this session you must bring your laptop.

OVERVIEW

In this hands-on lab, you’ll build a complete AI-powered retail analytics platform entirely within Snowflake — no external infrastructure required. Using Snowflake CoCo as your AI-assisted development environment, you’ll work through the full data lifecycle: stream real-time orders via Snowpipe Streaming, MERGE them into production tables with Gen2 Warehouses, transform them through a 3-tier Dynamic Tables pipeline, and serve them with Interactive Tables for low-latency point lookups.

You’ll build analytical models with dbt, monitor data quality with Data Metric Functions, and create custom CoCo skills for reusable workflows. Tie it all together with Snowflake CoWork — a conversational AI interface where a Cortex Agent orchestrates Cortex Analyst and Agentic Search to answer “what happened” and “why” from both structured and unstructured data. Finally, evaluate your agent with ground-truth datasets, implement row-level security, and expose your agent as a managed MCP server for external AI clients.

What You’ll Learn

– Accelerate development with Snowflake CoCo (AI-assisted SQL, deployment, and data exploration)

– Stream real-time data with Snowpipe Streaming and transform with Dynamic Tables

– Serve low-latency queries with Interactive Tables and Gen2 Warehouses

– Build analytical models with dbt

– Monitor data quality automatically with Data Metric Functions

– Create and query managed Iceberg V3 tables (deletion vectors, row lineage) (optional)

– Create custom CoCo skills for reusable team workflows

– Build a Cortex Agent with Cortex Analyst (semantic view + verified queries) and Agentic Search (multi-index Cortex Search)

– Evaluate agent quality with ground-truth datasets and LLM judges

– Expose agents as managed MCP servers for external AI clients

– Implement transparent row-level security with Row Access Policies

What You’ll Build

A production-grade AI-powered retail analytics platform on Snowflake — from raw data to conversational AI insights, entirely within a single platform. You’ll create dynamic transformation pipelines, interactive low-latency tables, dbt analytical models, a Cortex Agent that answers questions across structured and unstructured data, row-level security that works transparently through AI, and an MCP server that exposes your agent to external clients.

Prerequisites

– Access to a (Test) Snowflake account

– Python 3.8+ installed locally

– Git installed locally

– Basic familiarity with SQL and command-line tools

  • To be announced

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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Other than statements of historical fact, all information contained in these materials and any accompanying oral commentary (collectively, the “Materials”), including statements regarding (i) Snowflake’s business strategy, plans or priorities, (ii) Snowflake’s new or enhanced products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, (iv) our vision for Snowpark, the Data Cloud, and industry-specific Data Clouds, including the expected benefits and network effects of the Data Cloud; and (v) the integration, interoperability, and availability of Snowflake’s products, services, or technology offerings with or on third-party platforms or products, are forward-looking statements. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Annual Reports on Form 10-K and the Quarterly Reports on Form 10-Q that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, the future events and trends discussed in the Materials may not occur, and actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forwarding-looking statements as predictions of future events. Forward-looking statements speak only as of the date the statements are first made and are based on information available to us at the time those statements are made and/or management’s good faith belief as of that time. Except as required by law, we undertake no obligation, and do not intend, to update the forward-looking statements in these Materials.

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