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Empowering Analytics Teams: Qlik AutoML's Next Evolution

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Dave Cook

6 min read

An illustration depicting the capabilities of Qlik AutoML which includes Associative AI integration, end-to-end Qlik Cloud integration, full explainability and trust, and comprehensive MLOps capabilities.

At Qlik, we believe that the power of predictive analytics should be accessible to all. That's why we're thrilled to announce the next evolution of Qlik AutoML, designed to empower analytics teams and business analysts to harness the full potential of machine learning—without needing a Ph.D. in data science.

Bridging the Gap: From Historical Analysis to Future Insights

For too long, businesses have been trapped in the past, limited to historical reporting and reactive decision-making. Qlik AutoML changes that paradigm. Our latest release introduces groundbreaking features that enable your analytics teams to:

  1. Predict key business outcomes with confidence

  2. Explain the drivers behind those predictions

  3. Act on insights to drive measurable, repeatable business impact


Let's explore how our new capabilities make this possible:

Intelligent Model Optimization: Automation Meets Expertise

A screenshot of Qlik ML experiment dashboard featuring model metrics, model insights, permutation importance.

Our enhanced AutoML engine now automatically analyzes your data and iterates to generate optimal models. This means your team can focus on asking the right questions, while AutoML handles the complex task of building accurate predictive models.

Key enhancements include:

  • Automated feature engineering for dates and free-text data

  • Advanced feature correlation analysis

  • Target leakage checks to ensure model validity

  • Refined feature importance calculations

  • Intelligent handling of outliers and imbalanced targets

These improvements mean faster, more accurate models that capture the nuances of your business data.

Embedded Analytics: Insight at Your Fingertips

A screenshot of Qlik ML experiment dashboard featuring model overview with "TitleGroup" selected as the feature to generate prediction data and impact by "TitleGroup" values.

We've integrated AutoML-generated dashboards directly into the workflow, powered by Qlik Sense. Now, your team can easily:

  • Compare different models to choose the best fit

  • Analyze model predictions and SHAP insights to understand key drivers

  • Visualize results in context, making it easier to communicate findings to stakeholders

This tight integration ensures that predictive insights are readily available where you need them most—in your existing analytics workflows.

Enhanced MLOps and Governance: Scale with Confidence

A screenshot of Qlik Administration dashboard featuring "feature drift over time" graph, and training data based off specified dataset.

As predictive analytics becomes central to your operations, the ability to operationalize and govern your ML processes is crucial. Our enhanced MLOps features provide a robust framework for turning your ML insights into repeatable, scalable business processes:

  • Granular access control roles to ensure proper data and model management

  • Streamlined processes for changing and refreshing datasets

  • A robust approval workflow for model deployment

  • Advanced monitoring for feature drift and model performance

  • Seamless model retraining to maintain accuracy over time

  • Automated pipelines to integrate predictions into business workflows

  • Version control and audit trails for full transparency and compliance

These capabilities allow you to scale your predictive analytics efforts across the organization while maintaining control and transparency.

Why This Matters: Transforming Data into Action

These enhancements aren't just about technology—they're about transforming how your business operates. With Qlik AutoML, your analytics teams can:

  • Move beyond retrospective analysis to proactive, data-driven strategies

  • Democratize predictive insights across departments, addressing the "other 90%" of use cases that typically don't get attention from data science teams

  • Build trust in AI-driven decisions through clear explanations and governance

  • Accelerate time-to-value for AI initiatives from months to days

  • Seamlessly integrate predictive analytics into existing Qlik workflows


The Qlik Difference: Designed for Analytics Teams

While many AutoML solutions cater to data scientists, Qlik AutoML is purpose-built for analytics teams and business analysts. We've focused on creating an intuitive, no-code experience that leverages your team's existing skills and business knowledge.

An illustration depicting the capabilities of Qlik AutoML which includes Associative AI integration, end-to-end Qlik Cloud integration, full explainability and trust, and comprehensive MLOps capabilities.

Our unique approach combines:

  • The power of Qlik's associative engine for comprehensive data exploration

  • End-to-end integration within Qlik Cloud for a seamless workflow

  • A focus on explainability to build trust and drive adoption

  • Robust MLOps capabilities to ensure long-term success and scalability


Ready to Predict, Explain, and Act?

The future of business analytics is here, and it's predictive. With Qlik AutoML, your team has the power to not just understand what happened, but to anticipate what's coming and take decisive action.

We invite you to experience the next evolution of Qlik AutoML. See how easy it can be to turn your data into a competitive advantage, driving proactive decisions and measurable business impact.

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Join us in shaping a future where every analytics team can harness the power of predictive AI. The insights you need are waiting—let's unlock them together.

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