Qlik®a global leader in data integration, analytics, and artificial intelligence (AI), announced modern enhancements to its AutoML capabilities. These updates make it easier for analytics teams to build and deploy high-performance machine learning models, delivering native analytics to explain predictions in real time. Fully integrated with Qlik Cloud, these capabilities enable companies to move from reactive to proactive decision-making, helping them predict trends, solve problems, and optimize outcomes with greater confidence.
The latest enhancements to Qlik’s AutoML solution deliver significant value to enterprises by delivering clear, actionable results:
- Clever model optimization: Simplifies the process of building and deploying machine learning models by automating iterations and applying data science best practices, delivering better performance with minimal effort.
- Native machine learning analytics: It provides automatically generated dashboards that allow users to easily analyze and compare model performance, offering deeper insight into forecasts and the factors driving them.
- Seamless integration with Qlik Cloud: Full integration with Qlik Cloud, leveraging your existing data infrastructure to create a unified, user-friendly experience that supports effective, data-driven decision-making.
- Comprehensive MLOps capabilities: Ensures consistent model accuracy and business value through automated monitoring, retraining, and lifecycle management, allowing companies to maintain confidence in the results of their AI solutions.
These targeted improvements support organizations maximize the value they derive from AI by ensuring predictive insights are reliable, understandable, and actionable.
The latest Qlik AutoML enhancements enable analytics teams to make proactive decisions with predictive analytics and full model explainability through a elementary, code-free interface. These updates include real-time API access for up-to-date insights, associative mining and what-if analysis for scenario planning, and enhanced security for data protection. Multi-language support provides global availability, and AI model monitoring and retraining ensures correct predictions. These capabilities integrate seamlessly with business operations, helping organizations respond quickly and make confident, data-driven decisions.