At Qlik Connect, one of the big messages we’re putting in front of customers is this: you’re closer to agentic AI than you think. I believe that because a lot of our customers already have more of the foundation in place than they may realize. If you have been working to improve data quality, strengthen governance, connect data across the business, and move analytics beyond reporting into real decision support, you are already building the conditions agentic AI needs to deliver value.

“The data integration landscape is currently undergoing a seismic shift. We are moving away from an era of human-led data pipelines and entering the age of Agentic Data Management.

Agentic AI puts new pressure on data access, making architectural flexibility and control more important than ever.

One of the things I have learned spending time with enterprise data and analytics teams is that insight without proximity to action is only half the job. You can build a beautiful dashboard, surface a critical pattern, or flag a risk in real time, and still have the insight die on a slide before it ever changes what happens next. The gap between "we know this" and "we did something about it" is one of the most persistent problems in enterprise software.

The ability to produce accurate and timely financial reports is a core skill needed in all organizations. Reports reveal the true health of companies, highlighting the positives and negatives that will affect enterprise performance for years to come. You have countless reports you can create, all with valuable insights to offer. But you should consider these a must.

Most executives believe they are metric-directed. The evidence says they are metric-adjacent — and the gap is costing them decisions.

Across all industries in the market, enterprises face rising pressure to modernize quickly, reduce risk, and enable data‑driven innovation — all while optimizing cost and simplifying increasingly complex hybrid environments. Hybrid cloud has become the operating model for this shift, yet organizations still struggle with fragmented tools and unpredictable expenses.