Qlik AutoML Update: Next-Level Predictive Analytics

In today’s data-driven world, predicting trends and acting on insights is essential. Qlik AutoML simplifies this transition, offering a no-code solution that makes advanced predictive analytics accessible without needing specialized data science skills. Qlik is changing the game.

The latest release focuses on features that will 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

Intelligent Model Optimization: Automation Meets Expertise

The enhanced AutoML engine now automatically analyzes data and iterates to generate optimal models, allowing teams to focus on asking the right questions while AutoML handles the complexities of model building. 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 result in faster, more accurate models that capture the nuances of business data.

Embedded Analytics: Insight at Your Fingertips

AutoML-generated dashboards are now seamlessly integrated into the workflow, powered by Qlik Sense. This integration allows teams to:

• Compare different models to select 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 close integration ensures that predictive insights are readily accessible within existing analytics workflows, providing valuable insights precisely where they are needed.

Enhanced MLOps and Governance: Scale with Confidence

As predictive analytics becomes central to operations, effective MLOps and governance are crucial. The enhanced features provide a robust framework for transforming ML insights into scalable, repeatable business processes:

• Granular access control roles to ensure proper data and model management
• Streamlined processes for updating 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 organizations to scale their predictive analytics efforts while maintaining control, transparency, and compliance.

Enhanced MLOps and Governance: Scale with Confidence

As predictive analytics becomes integral to operations, the ability to operationalize and govern ML processes is essential. The enhanced MLOps features provide a robust framework for transforming ML insights into repeatable, scalable business processes:

• Granular access control roles to ensure proper data and model management
• Streamlined processes for updating 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 enable organizations to scale their predictive analytics efforts while maintaining control, transparency, and compliance across the board.

Why This Matters: Transforming Data into Action

These enhancements are not just about technological advancement—they represent a fundamental shift in how businesses operate. With Qlik AutoML, analytics teams can:

• Transition from retrospective analysis to proactive, data-driven strategies
• Democratize predictive insights across departments, addressing the “other 90%” of use cases that often go unnoticed by data science teams
• Build trust in AI-driven decisions through clear explanations and governance
• Accelerate time-to-value for AI initiatives, reducing the timeline 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 specifically designed for analytics teams and business analysts. It offers an intuitive, no-code experience that leverages existing skills and business knowledge.

Qlik’s 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, teams are empowered to not only understand past events but also to anticipate future developments and take decisive action. Discover how this next evolution can turn your data into a competitive advantage and drive proactive decisions with measurable business impact.

Click here to read more.

Curious about how Qlik AutoML can revolutionize your data insights? Contact us today to schedule a demo and see it in action!

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