Concept

Agentic AI

AI systems designed to autonomously perform tasks or make decisions in dynamic environments, such as digital assistants or robotic control systems. These systems require infrastructure that supports real-time, distributed, and highly responsive operations.

Catégorie : Tech

Architecting memory and storage in the AI era

The era of AI inference has arrived. Imagine a healthcare system analyzing millions of data points in real time to accelerate life-saving medical research, or an intelligent assistant instantly resolving thousands of complex customer needs at once. These real-world breakthroughs rely on advanced infrastructure acting as the engine of continuous intelligence, powering real-time services while…

Lire l'édition complète →

2 mo

Scaling agentic AI pilots across the enterprise

As agentic AI moves from experimentation toward enterprise deployment, the challenge is figuring out how agents can work together, connect to the systems and data they need, and operate safely across the workflows that run a business. Although agentic AI has been adopted by some 80% of Fortune 500 companies, progress toward meaningful scale remains…

Lire l'édition complète →

2 mo

Connecting AI agents to enterprise knowledge

For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need this understanding to reason about situations, make decisions, and ultimately…

Lire l'édition complète →

1 mo