Global AI Trends 2024–2025
Global evidence shows rapid AI adoption, rising capability, and widening gaps between regions and firms, with the US driving investment and commercial uptake.
Global evidence shows rapid AI adoption, rising capability, and widening gaps between regions and firms, with the US driving investment and commercial uptake.
Global evidence shows rapid AI adoption, rising capability, and widening gaps between regions and firms.
AI strengthens brands when it improves precision, consistency, and control — and destroys them when it introduces noise.
Luxury maisons must adopt AI with restraint, using it as a precision instrument that protects craft, tone, and identity.
Ten simple AI workflows that save minutes each day and compound into hours each week, helping people work more efficiently.
LLM systems behave differently from traditional software and require layered safety, strong governance, observability, and architectural discipline to operate reliably and sustainably.
Evaluating AI systems means measuring real behaviour, not synthetic benchmarks.
A practical guide to assessing the quality, reliability, and safety of AI chat session outputs.
Guidance on using AI safely and effectively, grounded in recent examples of misuse and emerging best practices.
Most latency comes from retrieval hops and orchestration, not the model; RAG pipelines often recreate microservice-style chatter that slows systems down.