While genAI chatbots are mostly deployed as assistants or copilots, agentic AI allows companies to automate entire business ...

A shift from traditional machine-to-machine (M2M) communication to agent-to-agent (A2A) interaction represents a revolutionary leap, enabling devices to learn, adapt and collaborate in real-time ...

Is agentic AI accelerating mediocrity? Plenty of folks on LinkedIn seem to think so. Related: The 400th journalist A growing chorus of academics, tech workers, and digital culture watchers are ...

These aren’t necessarily theoretical risks. Retrieval augmented generation (RAG) is another emerging type of AI which, like agentic systems, is designed to overcome the limitations AI developers ...

Transparent, responsible AI requires global collaboration—uniting governments, businesses and communities to create policy ...

Salesforce AI Research has unveiled a slate of new benchmarks, guardrails, and models to help customers develop agentic AI ...

Behavioral analysis is also vital. Agentic AI systems analyze user behavior patterns over time, establishing what constitutes normal behavior for individuals. This understanding enables the ...

The integration of new RAG capabilities further expands Torq’s Agentic AI system—first debuted in Torq HyperSOC last December—into a comprehensive OmniAgent capable of deep research ...