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Schneider Electric moved from weeks-long reporting to near-real-time data, plus five strategies for turning agentic AI into real outcomes and an easier path to Qlik Talend Cloud migration.

 


Take Qlik Further

Welcome to the August Qlik Digest. This issue is all about doing more with what you've already got. Read on for this month's best insights and resources.

In this issue

Customer Spotlight - See how Schneider Electric halved extraction costs.
Think Ahead - 5 strategies to make agentic AI your new superpower.
Insider Tips - See your full environment first: Qlik Talend Cloud® migration made easy.
Tune In - Agentic AI and the Evolution of the Data Engineer.
Customer Spotlight

How Schneider Electric stopped waiting weeks for data, and what it means for your pipelines

Schneider Electric
Costs Halved
Extraction
Near-Real Time
Data Delivery
Weeks to 1 Sprint
Turnaround

Qlik Replicate pulls straight from transaction logs, so teams in 100+ countries get trusted data in near-real time, and extraction costs dropped by half.

Get the Schneider Electric Story →
Think Ahead

Ready to Move from AI Experiments to Real Outcomes?

Choose Your Champion

A practical guide to five strategies for turning agentic AI into real outcomes.

Get the eBook →
Insider Tips

Qlik Talend® Cloud Migration? Easy Mode: On

Migrating to Qlik Talend Cloud® is now easier than ever. Full visibility before you move a thing, and automated phased migration. All you bring is the decision. Then it's less time managing servers, upgrades, and infrastructure, and more time focused on actual work.

Get the Migration Toolkit →

Enable Yourself to a Faster Migration

Free, self-paced lessons walk through the full migration workflow, so you know what to expect before you start.

Start the Course →
Tune In
Reliable Data Pipelines, Built to Last

Reliable Data Pipelines, Built to Last

Learn how to automate black-box testing in Talend Studio, so releases move faster with fewer surprises.

Register Now
Agentic AI and the Evolution of the Data Engineer

Agentic AI and the Evolution of the Data Engineer

Today's data has to be governed, current, and ready for agents to act on. Join for a real-world conversation on agentic data engineering.

Register Now
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