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All digests tagged Enterprise AI
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AI News & Strategy Daily | Nate B Jones
AI is a new economic input, requiring a shift from 'per seat' or 'per token' pricing to outcome-based value capture. Learn how forward-deployed engineering and becoming a 'manager of AI' are key to unlocking enterprise ROI.
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AI success is an ecosystem problem, not a model problem. The Full-Stack AI Engineer must orchestrate intelligence across data platforms, agents, and low-code tools, while prioritizing governance and data quality.
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AI News & Strategy Daily | Nate B Jones
Microsoft is deploying Autopilot, an always-on AI agent built on OpenClaw, across core workplace apps. The value lies in accessing proprietary data and executing ongoing assignments, requiring users to master defining objectives and context.
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The discussion covers the debate around slowing AI development (pacing), details the technical features of IBM's Granite 4.2 models, and analyzes Meta's new personal agent, Muse.
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AI agents are powerful, but they are incomplete without a robust memory system. The database must serve as the central nervous system, unifying relational, graph, and vector data to ensure a single source of truth for enterprise context.
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AI News & Strategy Daily | Nate B Jones
Super agents like GPT-6 Astra mark a shift from task-based AI to autonomous, self-directed systems. The focus is now on persistent 'areas of concern' and system reliability.
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Moving beyond Systems of Record, monday.com introduces a System of Context using two engines: one for long-term user profiling and one for real-time signals. This architecture mirrors the brain's function to give AI agents true understanding.
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