LGI Healthcare Solutions, a leader in healthcare IT, today announced a new customer deployment of LGI Automation Agent, a ...

In 2026, enterprises will be expected to automate processes that involve judgment, negotiation, compliance interpretation, ...

Big AI models break when the cloud goes down; small, specialized agents keep working locally, protecting data, reducing costs ...

MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

Google's Universal Commerce Protocol isn't just an API, it's infrastructure for AI-native shopping. Learn why major retailers ...

Radiant Logistics is undervalued due to market misperceptions of its asset-light, agent-based model and strong downside ...

Take one example: A customer built an ambient agent that monitors employee schedules. If someone appears consistently ...

The framework covers through four key steps: assessing risks and setting limits on agents’ powers, ensuring human accountability at critical points, applying technical controls throughout the agent’s ...

Here's a strategic, four-step blueprint for how financial institutions can harness agentic AI for a more autonomous, intelligent enterprise.

“In 2025, we observed widespread agent-washing: existing RPA scripts and assistants were relabelled as ‘agents’ without true ...