Glossary Category: E

Edge Computing shifts computation, storage, and data management from central locations (data centers or cloud) to distributed edge nodes, such as gateways, sensors, or local servers. This architecture supports applications needing fast response, high reliability, or offline capabilities. UnityOne.AI supports

Enterprise AI refers to artificial intelligence systems and techniques applied at the scale and complexity of large organizations. It involves using machine learning, natural language processing, and advanced analytics to automate business processes, optimize operations, and enable data-driven decision-making. In

Edge AI is the deployment of artificial intelligence algorithms directly on edge devices—close to where data is generated—rather than sending data to centralized data centers or cloud. This enables real-time processing, low latency, and autonomous decision-making for applications like IoT,

A secure, enterprise-focused AI assistant built on a private Large Language Model (LLM). This assistant interacts with users in natural language, automates complex workflows, provides contextual recommendations, and delivers actionable insights across cloud, data center, and business operations.

UnityOne.AI ensures elasticity by dynamically scaling resources based on usage patterns, load forecasts, and policy rules—balancing performance with cost efficiency.