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Qlik AutoML

Paid

Supercharge Your Analytics Using Qlik AutoML

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#AutoML#analytics#machine learning#data#AI#workflow#model creation#model training#model deployment#decision-making
Type
Saas
Company
Qlik
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About Qlik AutoML

Qlik Predict (formerly Qlik AutoML) is a no-code machine learning platform integrated into Qlik Cloud Analytics Premium and Enterprise plans. It empowers analysts and business users to build, deploy, and manage predictive models without writing code. The platform supports classification, regression, and multivariate time series forecasting with automatic seasonality detection. Key capabilities include SHAP-based explainable AI that provides dynamic visualizations of what drives each prediction, built-in governance with full model lifecycle tracking, and continuous learning that adapts models to new data and user feedback. Models can be deployed directly into Qlik dashboards and apps for real-time decision-making. Qlik Predict accelerates time-to-insight, democratizes predictive analytics, and enables proactive, data-driven actions across the organization.

Key Features

Automated model creation
Intuitive user interface
Support for diverse data sources
Seamless integration with existing workflows
No programming knowledge required
Comprehensive support and resources
Improves decision-making
Advanced machine learning capabilities
Enhances productivity
Tailored AI/ML solutions for business needs

Pros & Cons

Pros
  • No coding required – accessible to analysts and business users
  • Explainable AI with SHAP builds trust and meets governance standards
  • Fast deployment – models built and deployed in hours, not months
  • Native time series forecasting with automatic seasonality detection
  • Continuous learning reduces manual retraining
  • Fully integrated into Qlik Cloud analytics platform
  • Built-in governance and audit trail for compliance
Cons
  • Only available as part of Qlik Cloud Analytics Premium or Enterprise plans (higher cost)
  • Requires Qlik Cloud subscription – not a standalone tool
  • Tied to Qlik ecosystem; limited integration with non-Qlik platforms
  • No standalone pricing – must purchase full analytics plan
  • Learning curve for users unfamiliar with Qlik Cloud environment

Best For

Data Analysts: Automating the creation, training, and deployment of machine learning models to enhance data analysis.Business Executives: Gaining actionable insights from complex data sets to inform strategic decision-making.Healthcare Professionals: Analyzing patient data to improve health outcomes and streamline operations with machine learning insights.Retail Managers: Leveraging machine learning to optimize inventory management and predict consumer trends.Financial Advisors: Using predictive models to offer better financial advice and risk assessment.IT Teams: Integrating advanced machine learning capabilities into existing IT infrastructures to improve data processing efficiency.Marketing Teams: Utilizing machine learning to analyze campaign data and optimize marketing strategies.Manufacturing Engineers: Implementing predictive maintenance and quality assurance through automated machine learning models.Government Agencies: Employing machine learning for data analysis to enhance public service delivery and policy formulation.Educational Institutions: Applying machine learning to academic research and administrative data for better educational outcomes.

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