Whenever a new geopolitical shock takes hold, businesses are forced to make high-stakes decisions on cost, continuity, quality and risk at speed.
Working effectively with AI requires the ability to critically assess what it gives you, and that takes judgment.
Often, the greatest headaches during software migration are more to do with the approach than the software itself.
Regulators are coming for the AI models themselves, and those models can’t answer the questions they’re about to be asked.
The model context protocol (MCP) unlocks a skill-first AI architecture where tools are built and reused everywhere, which makes every agent in your org smarter.
Improving data delivery is not just an engineering challenge; it is a leadership responsibility.
No amount of policy or alignment will carry the burden of trust. Trust has to be engineered in the AI system.
For health plans operating with fragmented provider data environments, the costs accumulate across several distinct domains.
Whether they realize it or not, every company deploying an AI voice agent has let the model design their customer conversation.
Anthropic launched Claude for Small Business, a install inside Claude Cowork that puts the model directly inside the tools small business owners are already running.