“Just Add AI!” Said No One Who’s Ever Actually Used Qlik

The feature doesn’t exist. The request keeps coming. And somehow, it’s still your problem.

Author

Glenda Carnate
May 15, 2026

Read time: 2.5 minutes

When you suggest to your supervisor that they "explore artificial intelligence," they agree, but Qlik does not understand your intentions.

Your Manager: "Explore AI." The Stakeholders of your organization agree that this is a good idea. However, Qlik appears confused about this direction.

Your magic button just caused Qlik to fail again when attempting its reload at 11:47 PM.

4 Helpful Suggestions When People Say “Add AI” to Qlik

1. Interpret the Words

When someone says "Add AI," they usually mean:

  • Quicker Answers

  • Reduced Amount of Mouse Clicking

  • Increased Search Efficiency

You should ask them, "What specific problem are we trying to solve?" No guesswork is better than having no guesswork.

2. Validate the Model Before Adding AI's

Before you can add AI into your solution, you'll need to evaluate the following:

  • Relationships Between the Tables

  • Consistency of Fields Across Tables

  • Overall Performance of the Model

It's important to note that broken data models cannot become intelligent systems.

3. Ask the Right Questions to Create an Outcome

What can this solution improve over time?

If you can’t provide an answer to this question, it’s likely a fad rather than a benefit.

4. Debug in Reverse Order

A methodical troubleshooting process is more efficient for identifying problems than reacting and resetting due to frustration.

💡Key Takeaway: 

The true breakthrough in artificial intelligence will be for Qlik to work properly on the first attempt.

Until then, fix the model, rather than the buzzword.

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👉 COMMENT “LOAD PROPERLY” if this feels painfully familiar.

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