Agentic

Accountability Challenge: It’s Not Them, It’s You Until now, the focus of governance has been on modeling output risks with humans before making consequential decisions – such as loan approval …

In the frantic arms race of ‘AI for code’, we have moved beyond the era of glorious autocomplete. Today, Anthropic is doubling down on a more ambitious vision: an AI …

Every health system will benefit immensely from AI: from improving patient outcomes and reducing physician friction to optimizing the revenue cycle. Despite the influx of technology, hospitals and health systems …

J Studios/DigitalVision via Getty Images Follow ZDNET: Add us as a favorite source On Google. ZDNET Highlights Half of agentic AI adopters cite data quality and retrieval issues as deployment …

Google’s Gemini AI is taking a step closer to becoming more like a real assistant. Starting with some Pixel 10 phones and the Samsung Galaxy S26 series, Gemini will be …

Google Labs introduced a new feature to its vibe-coding app Opal, an interactive agent that plans and executes tasks based on the user’s goals. The update transforms Opal from a …

Last updated on February 23, 2026 by Editorial Team Author(s): Utkarsh Mittal Originally published on Towards AI. Section 1: The rise (and limitations) of RAGs. Enterprise data is messed up. …

Image by author # Introduction agent ai systems that use large language model (LLM) to reason, plan, and execute multi-step tasks, promising a new era of automation. However, their non-deterministic …

Last updated on February 17, 2026 by Editorial Team Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. When the architect of the open source agent revolution joins a …

The AI ​​industry is currently obsessed with ‘agents’ – autonomous programs that do more than just chat. However, most existing multi-agent systems rely on brittle, hard-coded heuristics that fail when …