🎯 Real-time data streaming for virtual agents
Handling high-velocity data for dynamic interactions | Get started with AI | How-to guides and features
The ability to process and respond to data streams in real-time is becoming increasingly crucial for virtual agents.
Real-time data streaming enables agents to react dynamically to changing conditions, provide up-to-the-minute information, and engage in more interactive and responsive conversations.
This post explores the technologies and techniques involved in building virtual agents that can handle high-velocity data streams from diverse sources
This is a practical guide to help decision-makers and board members navigate this evolving landscape.
We must grapple with fundamental questions about the nature of identity, consciousness, and the very essence of human existence.
This is a new sub-series of the Deep Dive series “How to build with AI agents.” which aims to help you proactively address potential issues and empower your IT and support agents with automation tools and AI for faster case resolution and insights.
It follows the series “How to build with AI agents. "This time, we focus on building on your existing foundation and the unique aspects of AI agents.