Qlik Self-Service AI Demo

Demos of Qlik’s AI/ML enhancements include:

• Auto ML: No-code Automated Machine Learning for analytics teams. Create ML experiments, identify key drivers, and train models to predict outcomes.
• Qlik Answers: Generative AI-driven answers from unstructured data, delivering personalized, relevant answers for better decision-making.

At the Tech Field Day Experience at Qlik Connect 2024, Kyle Jourdan showcased Qlik’s latest AI/ML enhancements through a comprehensive demo. The presentation highlighted two primary features: Auto ML and Qlik Answers, both designed to streamline and enhance data analytics for users.

Auto ML is a no-code Automated Machine Learning tool that enables analytics teams to create ML experiments, identify key drivers, and train models to predict outcomes without needing deep technical expertise. Kyle demonstrated the process of building an experiment to predict customer churn, emphasizing the ease of use and automation built into the tool. The Auto ML feature automatically handles complex tasks such as feature pre-processing, algorithm selection, and model optimization. It ensures users can generate accurate predictive models quickly by leveraging Qlik’s distributed compute environment for efficient model training. The demo also showcased the new embedded analytics capability, which allows users to visualize and understand model insights directly within the ML experiment interface, further simplifying the journey from data to actionable insights.

Qlik Answers, on the other hand, leverages generative AI to provide answers from unstructured data. This tool is designed to deliver personalized and relevant answers to user queries in natural language, making it accessible even to those without technical expertise. Kyle explained the concept of Retrieval-Augmented Generation (RAG), which allows the system to access and utilize internal documents and data sources to provide accurate and contextually relevant answers. He demonstrated how users can create a knowledge base by indexing various documents and then querying the system to retrieve precise answers, complete with citations from the source documents. This approach minimizes the risk of misinformation and ensures users receive reliable information. Additionally, the system’s ability to provide feedback and track user interactions helps organizations continuously improve the accuracy and relevance of their knowledge bases.

Overall, the presentation underscored Qlik’s commitment to making AI accessible and practical for business applications. By integrating both structured and unstructured data analysis into a unified platform, Qlik aims to empower users to make informed decisions quickly and effectively. The demo highlighted the ease of use, powerful capabilities, and the potential for significant business impact through the use of Qlik’s AI-driven tools.