Azure Foundry – an introduction and architecture.
Microsoft Azure AI Foundry serves as the core platform to bring order to this landscape, establishing production-grade architectures that balance developer agi…
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Underlying Maths of LLMs, Neural Networks: Simple Summary
Almost every machine-learning model, from a house-price estimator to a fraud detector to a large language model, is built from the same handful of mathematical…
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AI: Summary of Neural Networking and Large Language Models
Demystifying Modern AI: Neural Networks, LLMs, and How They Work Together Enterprise artificial intelligence can often sound like a tangle of interchangeable b…
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AI Framework – from governance to security and execution.
Nine layers for running AI safely: a framework for architects Most AI projects don’t fail because the model was wrong. They fail because nobody could say…
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Fabric OneLake + AI + structured and unstructured data architecture
Typical Business Issue: Client example. Solution:
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Delta Lake to OneLake and Fabric
The above conceptual diagram illustrates a modern, unified data platform that streamlines ingestion, processing, and consumption across two primary enterprise …
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CDM, Ontology, Graph
Untangling Data Architecture: CDM vs. Ontology vs. Knowledge Graph In modern data discussions, terms like Canonical Data Model (CDM), Ontology, and Knowledge G…
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Building a Test Harness to test AI Produced Code
Why Coding Agents Can’t Validate Their Own Output (And How to Fix the 80/20 Inversion) A passing unit test does not prove a feature works. It only proves a fun…
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Data Patterns in Cloud
Reference: Adapted and expanded from The 12 Data Architecture Patterns Every Data Engineer Should Master. The Data Lake vs Warehouse debate is effectively over…
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AI Costs and Governance
Based on McKinsey July 2026 study. Despite dramatic drops in raw inference costs—with GPT-3.5-level token prices plummeting from $20 per million to under $0.07…
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AI – Governed Lakehouse, Data Quality is the key.
Enterprise AI projects rarely stall because of weak foundational models. The true bottleneck is almost always a fragmented, inconsistent, and ungoverned data l…
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