Qlik's CEO on the Essential Discipline of AI Value in Enterprises

The CFO's role is evolving. AI value has transitioned from a futuristic promise to a metric that demands defense. For enterprises, the allure of AI is undeniable, yet the path to delivering concrete value remains fraught with obstacles.

Mike Capone, CEO of Qlik Technologies Inc., argues that the challenge isn't a lack of AI ambition. It's the infrastructure. As companies strive to harness AI, the fundamental question arises: How do you lay down the data foundation that ensures AI can truly deliver?

Data Foundation Takes Center Stage

Capone emphasizes the need for a disciplined approach to data. He suggests enterprises must 'measure twice, deploy once.' This construction analogy hits home. You wouldn't build a house on shaky ground, so why risk your AI initiatives on uncertain data?

Qlik's approach involves fortifying the data layer, ensuring it's solid enough to support AI at scale. The company believes that a solid data foundation is the lynchpin for unlocking AI's potential.

Beyond the Hype: Realizing AI Ambitions

We've all heard the AI hype. But the reality is stark: many enterprises struggle to move beyond pilot projects. The AI-AI Venn diagram is getting thicker, but execution lags behind ambition. If data is the new oil, then refining it into actionable insights is where the real value lies.

Is it time for enterprises to rethink their approach to AI? Capone seems to think so. He argues for a comprehensive strategy that integrates data, tools, and people. In a world where AI outcomes are the new benchmarks, the stakes have never been higher.

The Future of AI Value

AI isn't just a tech buzzword. It's an industry imperative. As CFOs grapple with this new reality, the focus must shift from lofty ambitions to tangible outcomes. The compute layer needs a payment rail. We're building the financial plumbing for machines.

What's your AI strategy? Are you ready to defend its value? The future of AI isn't about promises. It's about delivery.