Product Overview: Qlik AutoML
Qlik AutoML is a cutting-edge, AI-powered predictive analytics tool designed to simplify and streamline the machine learning process, enabling businesses to make proactive, data-driven decisions without the need for extensive coding knowledge.
What Qlik AutoML Does
Qlik AutoML transforms complex machine learning processes into a straightforward, intuitive workflow. It empowers analysts and business users to transition seamlessly from raw data to actionable insights, leveraging automated machine learning capabilities integrated into the Qlik analytics platform.
Key Features and Functionality
Simplified Workflow
Qlik AutoML’s workflow is divided into six key steps:
- Connect Data: Easily integrate various data sources to build a comprehensive dataset.
- Select Target: Define your prediction goal with clarity and precision.
- Generate Model: Automatically create and optimize ML models tailored to your needs.
- Predict Outcomes: Apply your models to generate forward-looking predictions.
- Explore Drivers: Gain deep insights into the factors influencing your predictions.
- Take Action: Make informed decisions and implement strategies based on predictive insights.
Automated Machine Learning
Qlik AutoML automates many aspects of machine learning, including data preprocessing. It applies a series of preprocessing steps to ensure the data is clean and appropriate for model training. The system intelligently determines the most suitable model category based on the type of the target variable, such as binary classification, multiclass classification, or regression.
Experiments and Deployments
The tool utilizes two key functionalities: ‘experiments’ and ‘deployments’. Experiments allow users to train models using historical data, while deployments enable the integration of trained models into real-world applications. Users need specific roles (e.g., AutoML Experiment Contributor or AutoML Deployment Contributor) and permissions to work with these functionalities.
Model Explainability and Transparency
Recent enhancements to Qlik AutoML focus on full model explainability, providing users with clear insights into how predictions are made. This transparency is crucial for building trust in AI-driven decision-making and ensures that the models are reliable and performing well.
Real-Time Predictions and What-If Scenarios
Qlik AutoML allows for real-time predictive analytics through its prediction API, enabling dynamic “what-if” analyses. Users can simulate various scenarios by altering feature values and instantly observe the impact on predicted outcomes. This feature is particularly valuable for exploring the impact of different factors on business objectives.
Integration and Security
The tool is fully integrated into the Qlik Cloud ecosystem, ensuring seamless interaction with Qlik Sense for data visualization and additional analysis. It also includes enhanced security features for data protection and multi-language support for global accessibility. AI model monitoring and retraining capabilities maintain the accuracy of predictions over time.
User Accessibility
Qlik AutoML is designed to be user-friendly, allowing users of all skill levels to build, deploy, and interpret ML models. It is available to customers with specific Qlik Sense Enterprise SaaS subscriptions and does not require coding knowledge.
In summary, Qlik AutoML is a powerful tool that democratizes machine learning by providing an automated, intuitive, and transparent platform for predictive analytics, enabling businesses to accelerate their journey towards data-driven decision-making.