I’ve decided that the biggest challenge we have in AI is now keeping track of the new words being created. Words like harness, layer, mesh, vector, orchestrator, tools, surface, memory – they all mean very special things. And engineers and marketing people keep dreaming up new ones (spine? pattern? control plane? MCP? LangChain? headless? MCP? mesh? ontology?).

In this podcast I do my best to explain what these words mean, and give you a non-technical understanding of how all this stuff works. If people like this I’ll keep you up to date on all these new words.

Additional Information (Note that all our research and podcasts are in Galileo)

AI Prices Are Going Up, Up, Up – And What This Means For Enterprise AI

The Reinvention of Workday: From System of Record to Platform of Agents

Could Microsoft Win The War For Enterprise AI?

The AI vs. Labor Economy, Why Benefits Are Being Cut, The Role of Legacy Systems

The Context Layer (Semantic Layer) In Enterprise AI (And Where Business Rules Go)

Jensen Huang’s Taipei Speech (filled with this jargon)

The Superagent for HR: Galileo Mars Release

Chapters

  • (00:00:00) - The Trouble With Words in the AI Era
  • (00:07:28) - Three Words of the Real-World Model (RAG, M
  • (00:10:16) - Hiring with a Neural Network
  • (00:16:27) - What is the Microsoft SQL Server Fabric or Mesh?
  • (00:18:07) - The issue of governance in the HCM
  • (00:19:36) - A Little More About Machine Learning

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