Systems | Development | Analytics | API | Testing

Transforming Business Decisions with Predictive AI in Qlik Cloud: 2024 in Review

Business leaders today face a critical challenge: How do you move from analyzing what happened to confidently predicting and shaping what comes next? Throughout 2024, we've enhanced Qlik Cloud's predictive AI capabilities to help organizations bridge this gap, enabling them to predict future outcomes, understand key drivers, and take informed action.

"So I Tried Qlik Answers" | First Reactions to Qlik's Generative AI Assistant

Ever wondered how a Generative AI assistant can revolutionize the way you work with data? Watch as real users try Qlik Answers, Qlik's AI-powered knowledge assistant, for the very first time! Whether you're an experienced Qlik user or just getting started, this video showcases why Qlik Answers is the future of trusted, fast, and intuitive data insights. Ready to try it yourself?

Qlik Anonymous Access - SaaS in 60

Qlik Anonymous Access is an exclusive, new capability that enables organizations to share analytics insights with a public audience easily. It leverages Qlik Cloud’s secure and scalable platform, allowing you to embed Qlik Sense apps, dashboards, and visualizations into websites or third-party applications using shareable links or our new Qlik Embed APIs. With Anonymous Access, no login credentials are required, simplifying engagement with embedded analytics.

Transforming Customer Support with Qlik Answers

Watch as an HVAC manufacturer's customer service rep leverages Qlik Answers to provide instant, accurate information to a HVAC contractor, inquiring about a replacement air conditioning system. This video showcases how Qlik Answers uses simple natural language question to turn technical queries into clear, actionable insights, enabling the rep to quickly address compatibility issues, warranty details, and installation guidelines and more.

Qlik AutoML Series - Understanding Coordinate SHAP Analytics - Video 5

In this video, we breakdown the analytics you can create from the provided Coordinate SHAP data when used within Qlik AutoML. SHAP data helps determine the WHY behind the machine learning model predictions. Learn how SHAP values break down the influence of individual features on specific outcomes, helping you gain deeper insights into model behavior. This is part 5 of the Qlik AutoML series, focusing on making machine learning more interpretable for users.