Agentic AI needs platform discipline to deliver measurable mission performance
A true agentic enterprise requires a fabric that connects goals to workflows, workflows to agents, agents to data and systems, and every action to governance.
Artificial Lawyer·
In this AL TV Interview with NetDocuments’ CPO Dan Hauck we talk about agents, KM and knowledge graphs. The central point here is that to ...
Read full articleA true agentic enterprise requires a fabric that connects goals to workflows, workflows to agents, agents to data and systems, and every action to governance.
Microsoft missed the boat on apps, so get ready for agents.
The specification lets developer, compliance and security teams define their own policies for agents to follow in portable policy files.
The future of work is marked by roles in which AI agents perform low-risk tasks autonomously, while also involving some human collaboration.
With the rise of agents, many people have been proclaiming that the age of software as a service (SaaS) is over. Who needs to subscribe to a service when you can create your own software with a few English-language prompts and a few dollars spent on tokens? Your own software, most likely a skill that […]
Structure-guided NER optimization for enterprise GraphRAG systems The post Proxy-Pointer RAG: Eliminating Wasteful Entity & Relations Extraction in Knowledge Graphs appeared first on Towards Data Science.
Most GTM teams deploy AI where it's most visible. The question worth asking first: is that actually where it's most ready?
The vendor’s growth parallels the explosive emergence of agents in enterprise AI.