The uptake of artificial intelligence has been fast, yet the success of AI projects is disproportional. Most organisations invest a lot in pilots, chatbots, and recommendation engines, but many of them are unable to stabilise these systems in a scalable … Read More
Production-Grade AI
AI Observability: The Missing Link Between AI Pilots and Production Deployments
Tags: agentic ai, ai compliance, AI governance, AI infrastructure, ai monitoring, ai observability, AI operations, AI performance monitoring, AI pilots, AI production deployment, ai reliability, AI risk management, AI ROI, ai scalability, data drift, enterprise AI, generative AI, LLM monitoring, machine learning operations, mlops, model drift detection, observability platforms, Production-Grade AI, prompt versioning, real-time AI monitoring
The Compound AI Systems Revolution: Why Single-Model Solutions Are Already Obsolete
During most of the previous ten years, the development of artificial intelligence was determined by the volume and capacity of specific models. Big data, greater model dimensions, and more exact benchmarks became colloquially referred to as innovation. Since the first … Read More
Tags: agentic ai, ai architecture, AI automation, ai best practices, ai compliance, AI governance, AI Hallucinations, AI implementation, ai orchestration, AI ROI, ai scalability, AI Strategy, Compound AI Systems, Digital Transformation, enterprise AI, Future of AI, generative AI, Large language models, Machine Learning, Modular AI, Multi-Model AI, Production-Grade AI, RAG, retrieval augmented generation, Scalable AI