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Qlik blog post titled "Which AI Should I Use? A Guide for Enterprise Decision Makers" by Nick Magnuson, Head of AI at Qlik.
Executive Insights and Trends
Which AI Should I Use? A Guide for Enterprise Decision Makers
Unlock the full potential of AI by understanding the distinct powers of predictive and generative AI—empowering your organization to make smarter decisions.
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Data-Driven Personalized Banking and Agile Operations
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Glossary
AI Analytics

AI analytics refers to the use of machine learning to automate processes, analyze data, derive insights, and make predictions or recommendations.

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The State of Agentic AI has Arrived.

Agentic AI has moved beyond hype.

Agentic AI is no longer experimental. It is becoming a strategic imperative. In Qlik’s latest research, 200+ enterprise decision-makers from Fortune 500 and Global 2000 organizations reveal how they are moving beyond AI that assists to AI that acts.

The momentum is undeniable.

79% say agentic AI is critical to their three-to-five-year strategy, and 97% have committed budget. Yet only 18% have fully deployed solutions. Why? Because scaling agentic AI requires more than powerful models. It demands trusted data, contextual intelligence, and adaptable architectures that can operate securely across systems.

This guide explores where enterprises truly stand, the risks leaders are navigating — including data quality and cybersecurity — and the practical steps required to move from pilots to production. If agentic AI is on your roadmap, the foundation you build today will determine how far and how fast you scale tomorrow.