New Qlik AutoML Features Build on Trusted AI Solutions, Driving Greater Business Value and Confidence in Decision Making
Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), has announced new enhancements to its AutoML capabilities, making it easier for analytics teams to build and deploy high-performing machine learning models.
Enhancements for Better Business Decision-Making
The latest AutoML updates provide native analytics to explain predictions in real-time, enabling businesses to move from reactive to proactive decision-making. This allows organizations to anticipate trends, address challenges, and optimize outcomes with greater confidence.
Key Features
- Intelligent Model Optimization: Simplifies the process of building and deploying machine learning models by automating iteration and applying data science best practices, ensuring better performance with minimal effort.
- Native Machine Learning Analytics: Provides auto-generated dashboards that allow users to easily analyze and compare model performance, offering deeper insights into the predictions and the factors driving them.
- Seamless Integration with Qlik Cloud: Fully integrates with Qlik Cloud, leveraging existing data infrastructures to create a unified, user-friendly experience that supports efficient, data-driven decision-making.
- Comprehensive MLOps Capabilities: Ensures ongoing model accuracy and business value through automated monitoring, retraining, and lifecycle management, allowing businesses to maintain confidence in their AI outputs.
Benefits
These targeted enhancements help organizations maximize the value they derive from AI, ensuring that predictive insights are reliable, understandable, and actionable.
What Users Say
"The enhancements Qlik is introducing to AutoML promise to significantly accelerate the value we derive from our AI initiatives," said Mikkel Hecht Hansen, Head of BI at Nordisk Film. "The focus on model explainability will allow us to trust the insights and make data-driven decisions with greater confidence. This transparency is crucial for our business, as it helps us understand the drivers behind the predictions and act proactively, ultimately leading to better business outcomes."
Conclusion
Qlik’s latest AutoML enhancements enable analytics teams to make proactive decisions with predictive analytics and full model explainability through a straightforward, no-code interface. These updates include real-time API access for up-to-date insights, associative exploration, and what-if analysis for scenario planning, as well as enhanced security for data protection. Multi-language support ensures global accessibility, while AI model monitoring and retraining keep predictions accurate.
FAQs
- What are the key features of Qlik’s latest AutoML enhancements?
- Intelligent Model Optimization, Native Machine Learning Analytics, Seamless Integration with Qlik Cloud, and Comprehensive MLOps Capabilities.
- How do these enhancements benefit businesses?
- They ensure reliable, understandable, and actionable predictive insights, enabling proactive decision-making and better business outcomes.
- What is the focus of Qlik’s latest AutoML updates?
- Model explainability, ensuring that users can trust the insights and make data-driven decisions with greater confidence.
