George Anadiotis
@linked_do
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Analyst, Consultant, Engineer, Founder, Researcher, Writer. Got Tech, Data, AI and Media, and not afraid to use them.
Athens, Greece
Joined January 2014
The rise of AI Literacy: What it is, why it should be your immediate priority, what you can do about it. #AILiteracy is the fastest-growing skill in the US, mandated by EU AI Act, introduced in primary schools in China. The time to act is now. Link in bio.
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RT @TheYotg: What's going on in the graph world?. If you missed the live Discord conversation last week, our friends at GraphGeeks put toge….
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Read the article with main points and background here 👇. Listen / watch the insighful conversation here 👇.
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Clay is what happened next. 🚀 Processes satellite imagery orders of magnitude faster & cheaper.🌍 Transformer for Earth observation data.⚡ Generates universal embeddings for instant geospatial queries.🔓 Open-source democratizing Earth intelligence.💡 Work in progress
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So when he got the opportunity to attempt to put all of that together in the same data center and in one workbench, he went for it. That was the Planetary Computer project at Microsoft, and Sánchez loved it. Then, ChatGPT happened.
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This experience brought another realization for Sánchez - that we have so much data about Earth that we don't really know how to use it: "We know what are the trees in the world. We know what are the forests in the world. It's just a matter of processing [data] properly"
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Sánchez had a stint at the World Bank, where as a member of interdisciplinary teams he helped make sense of geospatial data. Then he realized the core of what he was doing was mapping, which prompted him to launch a company called Mapbox, providing online maps on the web.
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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 some point, however, his focus switched to using those down on earth.
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Building AI for Earth with Clay: The intelligence platform transforming #Geospatial data analysis. A rocket scientist turned entrepreneur created a "ChatGPT for Earth data" using #transformers & #satelliteimagery🧵. #AI #MachineLearning #OpenSource #Sustainability #DataScience
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The graph landscape isn't just growing – it's evolving in diversity, depth, and density. From building durable knowledge assets to powering next-gen AI applications, graphs are becoming the backbone of intelligent systems.
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In The Year of the Graph Newsletter Vol. 27:.🔍 Knowledge Graphs as the truth layer for AI .🏗️ New graph database engines & standardization .📊 Advanced graph analytics & visualization platforms .🤖 Graph Foundation Models at scale .💡 Real-world applications across industries.
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Why this matters:.✅ 50% of Gartner AI inquiries now involve graph technology .✅ Major acquisitions power household names like Samsung Galaxy S25 & ServiceNow .✅ Graph RAG is transforming how we interact with GenAI.
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The evolution of the graph technology and business landscape in 2025 🚀. The numbers don't lie: Knowledge graphs are exploding from $1.06B in 2024 to a projected $6.93B by 2030 – that's 36.6% CAGR 📈.
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A Decade of Database Evolution. 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. It turns out it also takes ten years or more to build a successful #database. #Cloud #NoSQL #Opensource.
When #ScyllaDB started, the goal was to be the fastest NoSQL database available. Felipe Mendes and Guilherme Nogueira joined @linked_do to discuss a decade of product evolution at ScyllaDB, as well as some of the new things they're working on. #NoSQL.
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@Code4thoughtE 🧠 Invest in AI literacy: Ensure your team understands the appropriate applications and limitations of different AI approaches.
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@Code4thoughtE ♻️ Consider the full lifecycle: Quality isn’t just about the initial deployment but also about long-term maintainability and adaptability. ⚖️ Prepare for regulation: Emerging regulatory frameworks will likely make formal AI evaluation mandatory for many applications.
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@Code4thoughtE Takeaways:.🚀 Invest early in quality: Assessing quality from the design phase is more cost-effective than fixing problems after deployment. 📊 Use established standards: Frameworks like ISO 25010 provide structured approaches to evaluating software quality.
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@Code4thoughtE How do you evaluate software quality? How about AI and GenAI? What is the impact of AI-generated code in quality assessment? These are just some of the topics we addressed.
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@Code4thoughtE We connected to explore the challenges and opportunities of quality assessment and share insights both for developers and for people responsible for technology decisions within their organizations.
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Yiannis Kanellopoulos is on the forefront of software and AI system quality assessment. He is the founder and CEO of @code4thoughtE, a startup specializing in assessing large-scale software systems and AI applications.
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