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Jul 16, 2025
Congratulations, Your Resume is Now a List of Floating-Point Numbers!
Your recruiting software likely rejects top talent because it still can't figure out that a "developer" might call themselves a "programmer". This article explores the shift to a smarter model where AI turns a resume into a list of floating-point numbers—an "embedding vector"—to understand what a candidate means, not just what they typed. This enables companies to discover "hidden talent pools" and establish a "semantic moat" that competitors can't cross. But it's no magic wand; this is a practical guide to the real hurdles, from sticker shock to the critical risk of your new AI learning your company's old biases. Ultimately, it's a roadmap for building a "centaur" recruiting team—a hybrid of human and machine where your strategic judgment becomes more valuable than ever.
Technology
Jul 1, 2025
Power and Prediction: The Disruptive Economics of Artificial Intelligence - What's new, why it matters and some food for thought
In essence, what is the disruptive nature of AI? Why has it been taking so long for the new AI systems to be widespread?
Technology
Jul 8, 2025
The Architect's Guide to Production Vector Search with Vertex AI and Cloud Run
Building smart AI apps with semantic search or RAG is accessible, but making them fast, scalable, and cost-effective is the real challenge. This Google Cloud guide helps architects and engineers achieve that. It explores Vertex AI's embedding models, such as gemini-embedding-001, demonstrating how model choice affects performance and cost. The guide also covers RAG and semantic search patterns, emphasizing the optimization of embeddings for specific tasks. You'll learn about efficient vector similarity search using tools like Faiss and ScaNN, and gain a blueprint for deploying workloads on Google Cloud Run, along with best practices for minimizing latency. A FastAPI application example provides a complete, production-ready solution.
Technology
Nov 9, 2023
Hedgehogs and their technology platforms
How did successful companies apply their Hedgehog Concepts in their enterprise-scale technology implementations? Let’s discuss the one big thing I learned from my experience partnering with business leaders to deploy technology platforms for sustainable business growth.
Technology
Nov 10, 2023
Hey you! Yes, you, human being!
AI and machine learning are only as smart as the people behind them. Don’t just entrust your career development to your employer. It is a very personal thing, and you should have an active role in yours because you are the one who should benefit from such a plan, not anyone else.
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