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 […]
Read More →The Six Pillars of AI Literacy: From Regulatory Compliance to Hands-on AI
The clock for AI Literacy is ticking. Why should you act now, what are the six pillars of AI Literacy, and how can you build on those? • 📜 AI literacy is a legal requirement as of February 2025 • 🎯 Six core competencies define AI literacy: Recognition, Understanding, Application, Evaluation, Ethics, and Creation • […]
Read More →Are we entering the era of Peer to Peer AI? Long views on AI, Part 3
“Please consider the advent of DeepSeek as a historical pivot to the era of ‘Peer to Peer AI’”. This quote is from Michel Bauwens’ essay “AI and the Advent of the Age of the Brahmin Workers“. Bauwens is the Founder of the P2P Foundation, a network investigating the impact of peer to peer and commons dynamics in our […]
Read More →AI Chips in 2025: The end of “more GPUs is all you need”?
It’s early 2025, and we may already be witnessing a redefining moment for AI as we’ve come to know it in the last couple of years. Is the canon of “more GPUs is all you need” about to change? By George Anadiotis What an unusual turn of events. First, the Stargate Project. The joint venture […]
Read More →You.com raises $50M to lead AI for Knowledge Workers
You.com showcases the state of AI today By George Anadiotis The story of you.com is multi-faceted and telling in many ways. You.com was founded in 2020 by Richard Socher, one of the leading NLP (Natural Language Processing) researchers in the world, to offer a better search experience to users and compete with Google. With a startup […]
Read More →Democratizing data with Graph RAG: What it is, What it can do, How to evaluate it
What is Graph RAG, what can it do, and how do you evaluate it? By George Anadiotis Are you interested in making your data more accessible? A rhetorical question indeed. Even if you are well-versed in dark arts such as databases, data modeling, data science and information retrieval, why would you not want to make data […]
Read More →Evaluating and building applications on open source large language models
How do you choose the most appropriate model for your application? An analysis on evaluating and building applications on open source large language models. By George Anadiotis The computational complexity of AI models is growing exponentially, while the compute capability provided by hardware is growing linearly. Therefore, there is a growing gap between those two numbers, […]
Read More →The future of AI chips: Leaders, dark horses and rising stars
The future of AI chips is about more than NVIDIA: AMD, Intel, chiplets, upstarts, analog AI, optical computing, and AI chips designed by AI. By George Anadiotis The interest and investment in AI is skyrocketing, and generative AI is fueling it. Over one-third of CxOs have reportedly already embraced GenAI in their operations, with nearly half […]
Read More →Data management in 2024. Open data formats and a common language for a sixth data platform
What data management in 2024 and beyond will look like hangs on one question. Can open data formats lead to a best-of-breed data management platform? It will take Interoperability across clouds and formats, as well as on the semantics and governance layer. By George Anadiotis Sixth Platform. Atlas. Debezium. DCAT. Egeria. Nessie. Mesh. Paimon. Transmogrification. This […]
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