Tuesday, June 23, 2026 | Paris | 9:00 AM - 2:00 PM

From Raw Data to Live AI

Data & AI meeting in Paris – The data stack from ingestion to decision-making, with concrete customer use cases.

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See the program

The observation

AI cannot run on data that is not ready.

60%

AI projects not supported by AI-ready data will be abandoned by the end of 2026.

Source: Gartner, February 2025 – gartner.com/newsroom

48 %

only AI projects reach production — 8 months on average from prototype to deployment.

Source: Gartner, February 2025 – gartner.com/newsroom

$2.52T

Global investments in AI by 2026 (+44,130). The challenge is no longer about investing—it's about generating a measurable return.»

Source: Gartner, January 2026 — gartner.com/newsroom

What you get out of it

A clear view of your data & AI stack

AI Readiness: The Foundation First and Foremost

Identify what is blocking your AI projects and leave with a concrete action plan.

Source of truth for the decision

Managing margins, risks and performance based on governed data.

Customer feedback

Customer testimonials: what worked, what didn't work, what they would do again.

Activate your data network

Exchange ideas with peer decision-makers — lunch cocktail included.

Program

A rich morning, grounded in real-life cases.

9:00 Welcome & networking café
9:30 : AI Readiness & Source of Truth
The data prerequisite for any serious AI project

KPC

10:00 From data ingestion to activation
+ Customer testimonial

Fivetran

10:30 Transformation & Governance in the Age of AI
+ Customer testimonial

Coalesce

10:30 : Break
11:00 The data platform as a common foundation
AI Vision Data Cloud + Customer Experience Feedback

Snowflake

11:30 From data to real-time decision-making:
+ Customer testimonial

Omni

12:00 Luncheon cocktail reception — Networking
On the Rooftop – ends at 2:00 PM
PRACTICAL INFORMATION

Tuesday, June 23, 2026 · 9:30 a.m.–2:00 p.m. |  Morning Laffitte – 34 rue Laffitte – 75009 Paris | Metro: Lines 8/9 Richelieu-Drouot  

Feedback from experience

Customers who describe the production of their Stack Data

USE CASE SNOWFLAKE / FIVETRAN

How CLIENT NAME produced its data pipelines in 3 times less time, from 21 to 1 week.

Speaker: Name Surname Title

USE CASE SNOWFLAKE / COALESCE

How Longchamp built its source of truth starting from raw data

Speaker: Name Surname Title

USE CASE SNOWFLAKE / OMNI

How Photoroom gave 100+ people self-service access to data — without engineers

Speaker: Name Surname Title

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Event-FRDTLA-20260623

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