Learn the purpose of an orchestrator agent in intelligent multi-agent systems. Discover how orchestrators coordinate autonomous AI agents, manage workflows, ensure reliability, and drive efficiency in advanced automation. Introduction As organizations move from isolated AI tools to autonomous multi-agent ecosystems , the need for something—or someone—to coordinate these intelligent entities becomes essential. How Employees Should Think About an AI Agent-Enhanced Workplace . Enter the Orchestrator Agent : the “brain” that organizes, delegates, monitors, and optimizes how other AI agents execute tasks. Without orchestration, agent systems can become chaotic: Redundant work Conflicting decisions Lack of accountability Failure in complex workflows In this article, we break down the core purpose, benefits, design concepts, and real-world examples of orchestrator agents—and why they’re critical for the future of AI-driven workplaces. What is an Orchestrat...
Author: LaeTechBank Introduction In the rapidly evolving world of technology, terms like Artificial Intelligence (AI) and Generative AI (GenAI) are everywhere. They’re transforming industries—from healthcare and education to content creation and customer service. But for many people, the line between these two terms is blurry. What exactly is the difference between AI and Generative AI ? Are they the same? Do they do the same thing? In this article, we’ll break down the core differences between AI and Generative AI , explore how they work, share real-world examples, and help you understand why this distinction matters more than ever in 2025. Table of Contents What is AI (Artificial Intelligence)? What is Generative AI? Key Differences Between AI and Generative AI Real-World Use Cases Pros and Cons of Each Future of AI vs Generative AI Final Thoughts What is AI? Artificial Intelligence (AI) is a broad field of computer science focused on build...