Agent-based AI impresses in demos, but many applications often fail in live operation because, for example, latency is too high or the systems are too complex. This shows that, in practice, it is less ...

Business models don’t evolve by accident. At Salesforce Inc., operational discipline and strategic clarity are shaping a new chapter driven by automation and agent-based systems. Customer demand for ...

Multi-agent AI systems lose performance not because agents are weak, but because information evaporates at each handoff. NUS ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

Network monitoring and security revolve around two main approaches: agent-based and agentless. Both have advantages and disadvantages. It's important to understand the implications of each before ...

DeepSeek Super Agent prototype automates GitHub workflows by autonomously generating pull requests and work items using a plugin architecture.

In today's business environment, characterized by rapid technological evolution, application modernization has become an essential strategic step to ensure the competitiveness and efficiency of ...

IBM has introduced BeeAI, an open-source, language-agnostic framework for building modular multi-agent systems, featuring Python and TypeScript SDKs. A step-by-step tutorial demonstrates how BeeAI can ...

Cloud privileged access management (PAM) has evolved significantly over the last several years, establishing itself as a crucial element in an organization's security strategy for cloud service ...