The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

Varun is a Product management and AI leader, shaping the future of tech with strategic vision, AI platforms and agentic-AI experiences. Three weeks ago, I witnessed AI agents solving a complex ...

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 ...

Google LLC is pulling out all the stops to give developers all the tools they need to bring the next era of generative artificial intelligence agents into reality, including access to powerful AI ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

At the heart of Convex lies its reactive database, which ensures seamless real-time data retrieval and updates. This is achieved through the use of WebSockets, allowing your front-end applications to ...

AI is nervy. We know that a certain amount of Artificial Intelligence is somewhat nervy (or perhaps nervous) in its implementation because of concerns over decisioning bias, questions over the ...