In 2026, AI agents have evolved from experimental automation tools into integral digital coworkers embedded in enterprise workflows, driving both efficiency and revenue growth. Advances in contextual ...
Automotive dealerships are increasingly using AI to refine inventory, pricing, lead handling, and service workflows, generating measurable efficiency and sales gains. Multi-agent architectures that ...
Put simply: these agents can be created and accessed from ChatGPT, but users can also add them to third-party apps like Slack ...
While enterprises are rapidly adopting agentic AI, these agents can often lack a secure, standardized way to interact with low-level infrastructure like servers and clusters. Without this connection, ...
Certinia launches its unified agent platform, Veda, promising to speed up the velocity of services organizations by ...
From agentic AI workflows to product-led growth and GEO pipelines, here's a data-backed breakdown of 18 growth marketing ...
Gas Town 1.0.0 orchestrates multi-stage development workflows, hardens agent security, and supports Windows for the first ...
The London startup emerged from stealth on 7 April with a layered agentic security solution and a seed round backed by LocalGlobe and Cambridge Innovation Capital. Its co-founders include a Cambridge ...
Note: This article is the second in a two-part series. Click here to read Part 1: Why Multi-Agent Systems Outperform Traditional Automation. The rise of multi-agent systems (MAS) represents one of the ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...
AI agents run on file systems using standard tools to navigate directories and read file paths. The challenge, however, is that there is a lot of enterprise data in object storage systems, notably ...
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