The AI Silo Problem: How Data Streaming Can Unify Enterprise AI Agents
The rise of AI agents in enterprises has led to a fragmentation problem, where agents operate in isolation and fail to share insights, creating inefficiencies and duplicated efforts. To solve this, a shared event-driven communication layer powered by data streaming platforms can connect AI agents in real-time, enabling them to collaborate and exchange insights seamlessly.
The rise of AI agents in enterprises has led to a fragmentation problem, where agents operate in isolation and fail to share insights, creating inefficiencies and duplicated efforts. To solve this, a shared event-driven communication layer powered by data streaming platforms can connect AI agents in real-time, enabling them to collaborate and exchange insights seamlessly.