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 […]
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 →Data Rules: From interoperability to commensurability
“Data Rules” is a book about data, but not just about big data crunching. A book about the relationship of data with economic institutions and society, but also about the interplay with data technologies by which data are being generated and processed. A book that is critical, but not ideological. By George Anadiotis This is how […]
Read More →Universal semantic layer: Going meta on data, functionality, governance, and semantics
What is a universal semantic layer, and how is it different from a semantic layer? Is there actual semantics involved? Who uses that, how, and what for? By George Anadiotis When Cube Co-founder Artyom Keydunov started hacking away a Slack chatbot back in 2017, he probably didn’t have answers to those questions. All he wanted to […]
Read More →Neo4j partners with Microsoft, unfolds strategy to power Generative AI applications with cloud platforms and Graph RAG
From better together to full native integration, Neo4j is creating an ecosystem around all major cloud platforms to enable provide graph-powered features for Generative AI and beyond. Here’s how this aligns with cloud platform AI strategies and what’s next. Hint: Databricks and Snowflake. By George Anadiotis For many organizations today, data management comes down to handing […]
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, […]
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