Where AI meets reality: Data, alignment, outcomes

Across industries, billions of dollars are being invested in infrastructure, models, and platforms to support the shift to Agentic AI.

82% of ISVs are “actively exploring” the integration of AI agents into their products.

Yet the real challenge facing software companies is not just adopting new technology. It is providing the strong foundations on which the new agentic enterprise can be built. The real challenge is data.

Scaling AI continues to be difficult. Many projects stumble between proof of concept and deployment due to data issues.

The constraint is no longer access to models or infrastructure; it’s the data beneath them and how directly it connects to real business outcomes. For many teams, this has been the missing layer: data that is fragmented, poorly aligned, or disconnected from value creation.

As agentic systems move closer to production, that gap becomes harder to ignore. Clarity, alignment, and cleansing are no longer hygiene factors. They determine whether AI efforts scale, stall, or deliver meaningful impact.

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from global data centers. Millions of customers, including the fastest-growing startups, largest enterprises, and leading government agencies, leverage AWS to reduce costs, enhance agility, and accelerate innovation. Since 2006, we've transformed industries and lives by working backwards from our customers' needs to provide tailored cloud infrastructure solutions.