Objectively comparing high-level motivations and capabilities to illuminate differences Originally posted in Medium. Author’s Note: This is not a hit piece. Every technology has its use cases.
Originally posted on Medium. Enabling Real-time, Enterprise-grade, Contextual Automation Generative AI and Agentic AI have raised expectations for natural language system interactions and autonomous agents. However,
Bringing context and control to Generative AIBy Dave DuggalJul 1, 2025 Originally posted on Medium Freepic.aomc To be clear, Generative AI Language Models and their outputs don’t
Software agents are only as smart and capable as their design Agent ABCs Agents are simply software entities that execute tasks on a user’s behalf. Beyond
Agent-based automation must bridge AI and structured knowledge to improve inferences and optimize outcomes Based on an interview with James Crawshaw, Principal Analyst and Practice
Originally posted on LinkedIn Hypergraphs support variety and change to accommodate Telecom complexity and evolution This article was motivated by two good posts by Larry Peterson and Bruce Davie,
Semantic Web and Labeled Property Graphs have their use-cases, but complex, real-time business operations is not one of them Originally published on Medium This post is
A semantic layer for end-to-end, intelligent automation Originally published on Medium This post is the second in a four-part series. The first article can be found here.
Assessing the technical and organizational roadblocks to intelligent, end-to-end automation Originally published on Medium “We are drowning in information but starved for knowledge.” This is truer
Blog originally posted on LinkedIn Jinsung Choi of Deutsche Telekom recently provoked a thoughtful discussion regarding the emerging roles of generative AI in Telecom. Here’s my take – I’m not saying “never”, but there is
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