AI is a board-level priority, but results are lagging. The AI investment crisis is real, with reports showing only 41% of generative AI prototypes ever reach production, and 74% of companies have yet to demonstrate tangible value from their AI initiatives. The challenge isn’t a lack of capability, it’s the foundation. Most organizations are being pushed to accelerate AI strategies, yet few are translating pilots into production or measurable business impact. The constraint isn’t the technology; it’s how data, architecture, and workflows come together.

Fragmented data, inconsistent quality, and architectures not designed for AI are slowing progress, just as expectations for speed increase.

Leading organizations are taking a different approach. They are aligning data, architecture, and business workflows to create a foundation where AI can operate at scale. This shift moves AI from isolated experimentation to embedded decision-making, accelerating time to value and driving measurable outcomes.

The question is no longer whether to invest in AI. It’s how to unlock value faster.

Join Rackspace and a select group of executive peers for a candid discussion on what it takes to move from stalled pilots to production-ready AI, and how to accelerate value across the enterprise.