How Qlik AutoML Improves Trust Through Better Visibility

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing business decision-making. However, as these tools become more powerful, concerns about their decision-making processes grow. Qlik, a leader in data analytics, recognizes these concerns. That’s why their AutoML (Automated Machine Learning) platform now emphasizes trust, visibility, and simplicity.

What Is Qlik AutoML?

Qlik AutoML enables users to develop machine learning models without expertise in coding or data science. The platform simplifies complex tasks like building, training, and testing models. Businesses can predict customer behavior and monitor risks to make informed decisions.

The previous version of Qlik AutoML already assisted numerous enterprises. However, users requested better visibility into the system’s workings to understand how models operate and interpret results more effectively.

The recent update introduces significant new functionalities.

Why Trust Matters in AutoML

Trust is crucial in machine learning. Without it, users hesitate to rely on the system for critical decisions. Lack of clear explanations can lead to confusion or suspicion, making users worry about undetectable errors.

Qlik understands that businesses need transparency. Users must comprehend why a model makes specific predictions to build confidence and encourage daily use of machine learning.

Key Improvements in the Qlik AutoML Update

The latest Qlik AutoML update focuses on three major areas: visibility , simplicity , and control. Let’s explore each improvement.

Visibility: See How the Model Works

One of the most significant changes is enhanced visibility. Earlier versions provided results, but users struggled to understand the model’s decision- making process. Now, Qlik AutoML offers more detailed insights.

Feature Importance

With the update, users can identify which data features most influence model predictions. For instance, in predicting customer churn, the system highlights whether “last purchase date” or “customer satisfaction score” is more crucial. This helps users prioritize efforts effectively.

Model Explainability

Qlik has introduced powerful tools for explaining machine learning model results. Users can access explanations for individual predictions. For instance, if a model predicts customer churn, the system clarifies the reasoning behind it, making it easier to act on predictions.

Simplicity: Make It Easy for Everyone

Building machine learning models was once reserved for experts. Qlik AutoML changes that. The update simplifies model creation for business users without requiring coding skills.

Guided Experience

Qlik now offers a step-by-step guide within AutoML, asking users simple questions like “What do you want to predict?” and “Which data do you have?” Based on responses, it automates the machine learning process, removing guesswork and maintaining focus.

Smarter Defaults

Another crucial improvement is smarter defaults. Qlik AutoML automatically selects optimal settings, freeing users from choosing algorithms or tuning models manually. This results in faster outcomes and fewer errors.

Control: Let Users Fine-Tune Models

While Qlik simplifies processes, it also offers users more control. After model creation, users can adjust settings, retrain models with new data, or test different scenarios.

What-If Analysis

An exciting new tool is “what-if analysis.” Users can modify input values to observe how predictions change. For example, if you improve a customer’s satisfaction score, will they stay longer?

This feature allows businesses to test strategies and anticipate potential outcomes without real-world risks.

Benefits of the New Qlik AutoML Features

With these enhancements, Qlik AutoML is more helpful and reliable than ever. Here are some clear benefits:

• Better Decision-Making : Users understand predictions’ reasoning, leading to smarter actions.
• More Trust : Transparency eliminates doubt and builds confidence.
• Faster Adoption : Simplicity encourages more teams to use machine learning daily.
• Higher Productivity : Smart defaults and guides save time and effort.
• Greater Flexibility : Control options allow users to fine-tune models for specific needs.

How Businesses Can Use the New Features

Businesses of all sizes can benefit from Qlik AutoML’s latest update, enhancing predictive analytics with powerful new features. Here are a few examples of how industries are leveraging these tools:

Customer Retention

Retail companies can identify customers likely to leave using Qlik AutoML’s advanced predictive capabilities. With new visibility tools, businesses understand factors like purchase frequency or customer satisfaction that contribute to churn. This insight helps create effective loyalty programs and targeted interventions, improving retention rates and customer satisfaction.

Financial Risk Management

Banks and financial institutions can rely on AutoML to predict high-risk loans. The platform provides clear predictions, giving financial officers transparency and confidence in decision-making. This enables informed decisions, reduced financial losses, and better risk management, maintaining trust with clients and stakeholders.

Inventory Management

Manufacturers use Qlik AutoML to forecast stock shortages, avoiding costly delays. The updated what-if analysis feature lets them test supply chain scenarios, like demand changes or supplier disruptions, for better preparation. This results in improved planning, reduced waste, and smoother operations, even in volatile markets.

What Makes Qlik AutoML Stand Out?

While many platforms offer AutoML services, Qlik focuses on making machine learning accessible and understandable for everyone. They provide not just predictions but also explanations, empowering users with control.

This user-first approach distinguishes Qlik in a crowded market.

Future of Qlik AutoML

Qlik’s latest update demonstrates their commitment to listening to users. As technology evolves, we can expect further improvements in visibility, simplicity, and user control.

Qlik AutoML is no longer just a tool for experts; it’s becoming an intelligent companion for businesses worldwide.

Final Thoughts

Machine learning doesn’t have to be a mystery. Qlik AutoML’s update proves that with the right tools, anyone can build trust in AI. Visibility, simplicity, and control are key to making machine learning useful for real business problems. If you want your team to embrace machine learning with confidence, Qlik AutoML might be the perfect solution.