How to Create a Connected Manufacturing Environment

Smart manufacturing based on edge solutions delivers real-time insights that can improve operations and provide global visibility into progress towards desired business outcomes.

The edge is where about half of new retail applications and infrastructure will be deployed and where much of all new data will be processed.

Continuous Intelligence platforms leveraging multiple data sources can surface performance issues immediately, whenever they emerge.

We discuss integration challenges and how the use of AI, no code and low code techniques, and automation can help companies overcome them.

Agentic AI changes where value is created in the software stack. When analysts discuss the “death of SaaS,” they rarely mean that cloud applications will disappear. Instead, they mean the SaaS model may lose its central role in enterprise computing.

A unified semantic layer standardizes business definitions across systems, creating a shared contract for how metrics are defined, documented, and governed. That contract applies to dashboards, notebooks, APIs, and AI systems alike.

Domain-specific LLMs are how businesses move from AI curiosity to AI utility where outcomes are measurable, adoption actually sticks, and teams trust what the model tells them.

The transition to a truly agentic enterprise is not merely an IT upgrade. Such a transition is an architectural and philosophical metamorphosis. The organizations that scale with confidence are those that recognize this early.