Customer Needs Driving Qlik AI Announcements

AI offers unprecedented opportunities rooted in the power of data. To achieve smarter, faster outcomes in product launches, supply chains, customer experiences, and workforce productivity, organizations must address five key needs for enterprise AI adoption:

• Move/Transform: Integrate and transform diverse data sources.
• Trust: Ensure enhanced trust and explainability for AI applications.
• Access: Provide internal consumers with ready access to data and insights.
• Analyze/Predict/Answer: Use analytics, machine learning, and GenAI to extract insights from unstructured data.
• Act: Empower confident actions based on reliable AI-driven insights.

At the Tech Field Day Experience at Qlik Connect 2024, Nick Magnuson highlighted three major AI-related announcements driven by customer needs. Firstly, he emphasized the importance of having AI-ready data. Despite 96% of organizations feeling unprepared, Qlik’s new Talent Cloud aims to simplify data readiness for AI by creating a modern data engineering stack that supports both no-code and code-based data preparation. Secondly, he addressed the challenge of unstructured data, which constitutes 80% of organizational data, with 70% of organizations having not yet utilized it. Qlik Answers was introduced to allow natural language queries on unstructured data, making it accessible without needing complex setups. Lastly, Magnuson discussed enhancements to Qlik’s AutoML, which has seen significant adoption with 250,000 AI models created and 11,000 in production. The improvements focus on deeper analytics and more efficient model optimization, aiming to reduce the gap between experimental and production-ready models. These announcements underscore Qlik’s commitment to making AI more accessible and actionable for businesses.