In our latest blog, we discuss how to effectively build multi-agent AI systems by comparing eight different agent frameworks. Each framework has its strengths, but they are crucial for managing multiple specialized AI agents that collaborate to tackle complex tasks. We found that while pure Python offers flexibility, agentic frameworks enhance team alignment and streamline ...
AI agents are not as revolutionary as some claim; they merely bring old concepts back into focus. To effectively implement AI, organizations must first understand their own processes and ensure that business rules and data are clearly defined. Without this foundation, AI could create chaos instead of order. Many companies overlook the complexity of integrating ...
Cognizant has launched the Neuro AI Multi-Agent Accelerator, a no-code framework designed to connect various AI agents from different applications to enhance productivity. Babak Hodjat, the CTO of AI, emphasizes the importance of these agents working together to break down silos in organizations. This new technology enables seamless communication between agents, making it easier for ...
