Qlik AutoML

Qlik AutoML Overview

Qlik AutoML is a powerful tool designed to automate machine learning processes, enabling analytics teams to extract greater value from their data. By leveraging predictive analytics, Qlik AutoML helps organizations make informed decisions based on data-driven insights.

Key Features of Qlik AutoML

Qlik AutoML offers a range of features that simplify the machine learning workflow:

• Connect Data: Easily integrate various data sources to create a comprehensive dataset for analysis.
• Select Target: Clearly define your prediction goals to ensure focused and relevant outcomes.
• Generate Model: Utilize AI to automatically create and optimize machine learning models tailored to your specific needs.
• Predict Outcomes: Apply your models to generate forward-looking predictions that inform strategic decisions.
• Explore Drivers: Gain insights into the factors that influence your predictions, enhancing understanding and context.
• Take Action: Make informed decisions and implement strategies based on the predictive insights generated.

Workflow Simplification

Qlik AutoML transforms complex machine learning processes into a streamlined and intuitive workflow. The process consists of six straightforward steps:

1. Connect data
2. Select target
3. Generate model
4. Predict outcomes
5. Explore drivers
6. Take action

MLOps Capabilities

With robust MLOps capabilities, Qlik AutoML ensures that machine learning models remain reliable, relevant, and governed. This feature is essential for maintaining the integrity and performance of predictive models over time.

Subscription Requirements

Qlik AutoML is available to customers with specific subscription products, including:

• Qlik Cloud Analytics Standard, Premium, and Enterprise
• Qlik Cloud Data Integration Standard, Premium, and Enterprise
• Qlik Sense Enterprise SaaS
• Qlik Sense Enterprise SaaS Add-On to Client-Managed

It is important to note that Qlik Cloud Government does not support Qlik AutoML.

Additional Resources

For users seeking more detailed information, the Qlik Cloud Help pages offer tutorials and guides on utilizing Qlik AutoML. These resources cover essential topics such as training models, deploying models, and visualizing prediction data.

Conclusion

Qlik AutoML stands out as a valuable tool for organizations looking to enhance their analytics capabilities through automated machine learning. By simplifying the workflow and providing robust features, it empowers users to make data-driven decisions effectively.