Agentic AI for Analytics
In Snowflake
On-demand Webinar
You’ve evaluated agentic AI. You understand its potential. But how do you actually implement it in Snowflake?
This 20-minute session cuts through the noise – exploring what’s genuinely achievable and what it takes to deliver real results.
What you’ll learn
- How does this actually work with my data and platform?
- What does ”good enough” data look like here?
- How do I set up context and definitions in practice?
- Which tools and models should I use – and how do they fit together?
- How to handle governance, security, and cost
Ready to move beyond the hype? Join our Data Platform Expert, Magnus Petersson-Ahrholt, for a practical conversation about what Agentic AI can do for your analytics – and what it really takes to get there in Snowflake.
What comes next
This session shows you how Agentic AI works in Snowflake.
Now it’s time to put that into perspective. We’re running the same deep dive for Microsoft Fabric and Qlik – so you can compare how different platforms handle the exact same challenges.
Compare across platforms to find your best fit
Missed the foundation?
Start with the general session to understand the concepts, patterns, and trade-offs before choosing your platform.
Questions? Get in touch!
Magnus Petersson-Ahrholt
BI Manager
magnus.petersson-ahrholt@climber.se
+46 70 830 27 35
Samantha Hartley
Marketing & Content Manager
samantha.hartley@climber.se
+46 70 746 75 34
News
What’s New in Qlik Cloud – June 2026
This month’s release introduces new visualisation objects, strengthens the Qlik MCP server, improves automation controls, and refines the experience for administrators and app developers.
>> Read more
The AI Reality Tour Online 2026
Couldn’t attend any of the in-person events this year? No worries! You can now watch the online material whenever and wherever you want in the on-demand format. Register and enjoy!
>> Watch now
Creating Data Agents in Microsoft Fabric
Microsoft Fabric data agents are one of the more practical AI features now appearing in the platform. Read on for more insights on how to turn trusted data into useful conversations.
>> Read more