The singularity is here, it’s just not evenly distributed yet. Long views on AI, Part 4
“How can AI work to shape a future worth living around the world?” A 2025 – 2026 review through the lens of Knowledge Management, Graphs, Communities, Ontology, Connected Thinking and Pragmatic AI. By George Anadiotis When OpenAI CEO Sam Altman admitted we’re in an AI bubble in August 2025, I wasn’t surprised. I’d been watching the […]
Read More →The Seven Principles of Pragmatic AI: From AI Literacy to AI Proficiency
Foundational. Evolutionary. Practical. Sustainable. Contextual. Interactive. Responsible. 🧠 You don’t have to be a data scientist to benefit from AI. People who understand AI broadly and can apply it flexibly thrive. This is Pragmatic AI 📚 Start with AI Literacy, and move towards AI Proficiency 👥 Learn the first principles of data and AI, build […]
Read More →Pragmatic AI adoption: From AI literacy to futures literacy
What does it mean to be pragmatic about AI adoption, while staying true to the values and mission driving people and organizations? By George Anadiotis When Elisa Lindinger decided to talk about AI, her intention was to say what she had to say once, and then move on with her life without having anyone ask about […]
Read More →Beating Big Tech with graphs: Spend less on Ads, get better SEO
An unconventional way to optimize your marketing campaign, spend less on Ads and get better SEO results for free. By George Anadiotis A letter from the founder. On evolution, markets, growth, business models, content, marketing, Ads, SEO, and graphs. When I started the Year of the Graph back in 2018, I was pretty green as far […]
Read More →Breaking the AI bubble: Big Tech plus AI equals economy takeover
Whether we like it or not, and despite tales of its powers being greatly exaggerated, the AI genie is out of the box. What does that mean, and what can we do about it? By George Anadiotis In another twist of abysmal AI politics, OpenAI CEO Sam Altman just admitted that we are in an AI bubble, and […]
Read More →Poking holes in the AI narrative: Market Signalling and Outsourcing
Can AI work reliably at scale? Will everything be outsourced to AI? Will AI replace CEOs? Why is everyone riding the AI bandwagon, and where is it headed? By George Anadiotis These are the type of questions you would tackle with someone who has long-standing experience in AI, engineering, business and beyond. Georg Zoeller is that […]
Read More →Building AI for Earth with Clay: The intelligence platform transforming Geospatial data analysis
How a rocket scientist turned entrepreneur created the “ChatGPT for Earth data” using transformers and satellite imagery By George Anadiotis Bruno Sánchez is a rocket scientist with a somewhat deviant trajectory. An astrophysicist by training, he used the tools of his trade – mathematics and science – at the broadest possible scale: the universe. At […]
Read More →From Raw Performance to Price Performance: A Decade of Evolution at ScyllaDB
In business, they say it takes ten years to become an overnight success. In technology, they say it takes ten years to build a file system. ScyllaDB is in the technology business, offering a distributed NoSQL database that is monstrously fast and scalable. It turns out that it also takes ten years or more to build […]
Read More →The Quality Imperative: Why Leading Organizations Proactively Evaluate Software and AI Systems, And How You Can Too
As enterprise systems shift from deterministic software to probabilistic AI, forward-thinking organizations leverage proactive quality assessment to maximize value, minimize risk and ensure regulatory compliance. By George Anadiotis In today’s rapidly evolving technological landscape, ensuring the quality of both traditional software and AI systems has become more critical than ever. Organizations are increasingly relying on complex […]
Read More →Knowledge Graphs as the essential truth layer for Pragmatic AI
Organizations are facing a critical challenge to AI adoption: how to leverage their domain-specific knowledge to use AI in a way that delivers trustworthy results. Knowledge graphs provide the missing “truth layer” for AI that transforms probabilistic outputs into real world business acceleration. By George Anadiotis • 🚀 AI adoption is accelerating, but most implementations fail […]
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