Day: December 29, 2025
Responsible AI Operations: Governance That Works — Practical Guidance for Compliance and Oversight
A neutral, evidence-based guide to Responsible AI operations that summarizes international standards, regulator guidance (EU, UK, US, Singapore), and practical controls organisations can implement. Focused on governance, documentation, risk management, and realistic compliance steps — not legal advice.
How to Choose LLM Platforms in 2026: Practical Criteria, Trade-offs, and Alternatives
An evidence-based guide to evaluating LLM platforms in 2026. This article explains what LLM platforms do (and don’t), key features and limitations, pricing and security considerations, reliability pitfalls, and when to pick alternative solutions. Includes vendor facts and third-party benchmark context to help procurement and engineering teams make realistic comparisons.
RAG tooling: Search + LLM Done Right — Practical review and comparison
A practical, evidence-based review of RAG tooling (search + LLM) for engineers and product teams. This article explains what RAG tooling delivers, key features and limitations of major options (Pinecone, Weaviate, Chroma, Qdrant, Milvus), pricing and compliance trade-offs, reliability pitfalls, and when to pick alternatives. Sources and changelogs cited.
Privacy for AI Products: A Practical Guide for Developers and Compliance Teams
A neutral, evidence-based practical guide to privacy considerations when building, deploying, or buying AI products. Covers definitions, what regulators in the EU, UK and U.S. say, DPIAs/ADMT obligations, practical controls (data minimisation, logging, model governance, differential privacy), common misconceptions, and open questions for product teams and privacy officers. This is informational, not legal advice.