Alan Morrison

Every org is already paying for its data foundation — either upfront to build it right, or ongoing in failed AI projects. There's no neutral choice. Just which tax you'd rather pay. graphrag.info/2026/05/25/unl…

If you want diverse, heterogeneous data sources to work together without constant manual remapping, you need agreed-upon, standards-based abstractions sitting above the data itself. Thus the need for ontologies and semantic metadata in general. graphrag.info/2026/05/15/ben…

Cisco reports: 85% of enterprises are experimenting with agents, but only 5% are in production. 📉 To bypass rogue AI and black-box orchestration, we need to ground agents in a verifiable source of truth using GraphRAG. 6-step process to bridge the gap: lnkd.in/giDwF_73

Hierarchies manage complex communication. AI agent orchestration is now rediscovering this core principle. Insights from Heather Hedden: graphrag.info/2026/03/26/hea…

Data science teams don't have to reinvent the wheel with knowledge graphs; librarians have been working with open knowledge management/knowledge graph standards, tooling and techniques, for decades now. Just use what they've already put together. graphrag.info/2026/03/12/jes…

The real breakthrough for agentic commerce will not be a killer app, but the underlying knowledge foundation that allows all systems to understand the business with consistency and trust. graphrag.info/2026/03/10/eco…

Myth #1: Leading software vendors care about you. Myth #2: The AI we have is the AI we need. Myth #3: Packaged agent orchestration is something new and essential. Myth #4: Companies can keep their old architectures in the AI era. More at: graphrag.info/2026/02/27/the…

A core problem: AI interprets and synthesizes across files faster than static controls can govern it, exposing untested gaps in enterprise safeguards. The current RDF graph stack isn’t static or periodic. Semantic graphs anticipate agent problems. More: graphrag.info/2026/02/23/ont…

@techNmak LLM. Looks very helpful.

These are literally the kind of LLM interview questions most candidates wish they had seen earlier. A curated list of LLM interview questions - shared by Hao Hoang Want this doc? Follow @techNmak and comment “LLM” - I’ll send it over.

@mattyglesias Regarding the Deep South, USA Today posted an analysis in 2019: 4M people of African ancestry in the Southern states by 1860, up from 400K in 1800: usatoday.com/pages/interact…

@ipfconline1 @Datasciencectrl @jblefevre60 @ahier @TamaraMcCleary @Nicochan33 @data_nerd @Fabriziobustama The author of this helpful post is actually @shantha_17 (Shanthababu Pandian).

Ethics-driven model auditing and bias mitigation buff.ly/S7OzCHj v/ @DataScienceCtrl by @AlanMorrison #AI #AIEthics Cc @jblefevre60 @ahier @TamaraMcCleary @Nicochan33 @data_nerd @Fabriziobustama

I'll be presenting on decentralized AI trends today at 2pm Pacific/5pm Eastern at BrightTALK's virtual Edge AI Summit. It will be a contrarian point of view on hybrid AI's accuracy at the edge. Register now at brighttalk.com/webcast/679/64…

The contrarian, neuro-symbolic AI approach grounds neural nets with symbolic AI or knowledge representation. That’s a blending of pattern recognition facility with disambiguation and reasoning at scale. More on the contrarian AI in my latest post at lnkd.in/gStNh5JR

The big agentic AI challenge: agents won’t always act in your best interest, so you have to impose controls over them. The less effective your controls are, the more risk there is. Here's now to make the workplace environment machine readable. shorturl.at/V2Xj8

Tietoevry, Cognizone, Semantic Partners, Enterprise Knowledge, LLC, EPAM Systems, and Zenia Graph have built intelligent apps with Talk to Your Graph. TTYG today (Wednesday) at the Graphwise webinar. Live session begins on the half hour. Register here: lnkd.in/dPs98cYd

Tietoevry, Cognizone, Semantic Partners, Enterprise Knowledge, EPAM, and Zenia Graph built intelligent applications using Graphwise's TTYG (Talk To Your Graph). See how smart apps take advantage of TTYG Wednesday at the Graphwise webinar. Register here: lnkd.in/dPs98cYd

“Holistic AI is about creating each organization’s starting point for what will become a dynamic mirrorworld. Ideally, that mirrorworld will accurately reflect shifts in business realities.” “Explaining GraphRAG to an Executive Audience” - @AlanMorrison graphrag.info/2025/10/25/exp…

Explaining GraphRAG to an Executive Audience graphrag.info/2025/10/25/exp… Graph RAG at its core is a simple idea. It give generative AI and agents the means to retrieve the kinds of trusted information that’s been inside business databases for decades. graphrag.info/2025/10/25/exp…

@sundarpichai When Sundar Picher of Google and Alphabet says Gemini does "reasoning", is an LLM really reasoning? I mean, even Geoffrey Hinton acknowledged that neural nets don't reason very well. Or is Google's LLM doing graph RAG against a knowledge base?

Google Earth AI, our collection of geospatial AI models and datasets, is expanding globally and adding new capabilities. That includes Geospatial Reasoning, powered by Gemini, which automatically connects different Earth AI models - like weather forecasts, population maps + satellite imagery - to answer complex questions.  We’re also bringing new Earth AI models to Gemini capabilities in Google Earth, which make it easy to instantly find objects and discover patterns from satellite imagery. For example, analysts could spot harmful algae blooms that could impact drinking water supply, and issue warnings.

"Linear Algebra" The 2nd best book on linear algebra with ~1000 practice problems. A MUST for AI & ML. Absolutely beginner friendly. Available FREE.