MLOps is the set of practices used to move machine learning from experiments into reliable production services. It connects data preparation, training pipelines, experiment tracking, model registries, automated testing, deployment, monitoring, and retraining with software engineering and operational controls. Unlike ordinary application code, a model can degrade when incoming data or real-world behavior changes even if no code was modified. MLOps therefore tracks data quality, performance, drift, lineage, versions, and infrastructure alongside uptime and errors. Effective implementation also defines approval gates, rollback procedures, security, cost controls, and clear ownership among data scientists, engineers, platform teams, and domain experts.
Meta has signed agreements with major news publishers to provide real-time global and entertainment news through Meta AI, its AI chatbot, enhancing user access to timely information.
Cristiano Ronaldo has taken an equity stake in Perplexity and will serve as a global partner, marking one of the most high-profile collaborations between elite sports and AI search technology.
OpenAI buys Neptune for under $400 million in stock, gaining advanced AI model tracking tools and strengthening capabilities in large-scale AI development.
The European Commission investigates Meta over AI restrictions in WhatsApp, raising concerns about competition and access for third-party AI providers.
OpenAI introduces an experimental “confessions” system that rewards honest self-reporting of mistakes in GPT-5 Thinking models, aiming to improve AI safety and visibility of failures.
AWS introduced new tools for enterprise customers to build and fine-tune custom large language models, alongside AI infrastructure offerings for on-premises deployments.
Google is testing a new Search feature that lets users move from AI Overviews into conversational AI Mode on the same results page. The rollout comes as OpenAI declares a “code red” and refocuses on ChatGPT.
AWS AI Factories bring dedicated AI infrastructure directly into customer data centers, enabling enterprises and governments to rapidly develop and deploy AI applications while meeting data sovereignty and regulatory requirements.
penAI has put advertising plans for ChatGPT on hold after declaring a “code red,” shifting its focus toward improving the AI assistant’s performance, stability, and security amid intensifying competition in the AI market.
DeepSeek has launched two new open-source AI models — V3.2 and V3.2-Speciale — that the company says match or exceed leading U.S. systems in advanced reasoning and tool-use tasks.