Is the complexity of AI standing in the way of innovation?

As organizations embrace the promise of artificial intelligence, many discover that turning AI from experimentation into production is difficult.

Gartner predicts that more than 40% of agentic AI initiatives will be cancelled by 2027 due to cost, risk, and unclear business value.

AI workloads are diverse and resource intensive, requiring highly specialized infrastructure. Multitenancy demands, cloud costs, operational complexities and strict security requirements further complicate progress. Teams often struggle with data management, talent gaps, model drift, and limited internal expertise. Without a structured way to industrialize AI, organizations face delays, increased costs, and inconsistent outcomes across projects.

HPE AI Factory with Red Hat AI enables scalable, production-ready AI

At the core of the HPE AI Factory is HPE Morpheus Software—a unified control plane that turns hybrid IT and AI operational complexity into control. HPE Morpheus simplifies provisioning, automation, and governance across infrastructure, data, and AI workloads, enabling organizations to operationalize AI consistently across on-premises and cloud environments.

Backed by Red Hat AI Enterprise, the solution delivers a full-stack environment that transforms the AI lifecycle from fragmented and unpredictable into streamlined, repeatable, and reliable.

With the HPE AI Factory portfolio, organizations can industrialize Al with confidence. This control plane delivers simplicity through consistent operations, freedom of choice across hybrid environments, and predictable economics with built-in governance and cost control. The approach unifies data access, model development, deployment, retraining, and governance into a single consistent framework.

HPE experts work side by side with teams across IT, data, and business functions, ensuring that AI programs align with strategic outcomes while reducing risk and accelerating time to value.