ai-assisted
From model training to inference: what the latest Microsoft and NVIDIA guidance means for production AI
From model training to inference: what the latest Microsoft and NVIDIA guidance means for production AI
Artificial intelligence and machine learning
ai-assisted
From model training to inference: what the latest Microsoft and NVIDIA guidance means for production AI
ai-assisted
Foundry Local 1.1 and the rise of private, on-device enterprise AI
ai-assisted
How Foundry Local GA changes the Copilot development model for regulated enterprises
ai-assisted
Designing a governance playbook for local and hosted AI agents in Microsoft Foundry
ai-assisted
How AI agent observability should influence Fabric data product design
ai-assisted
AI-assisted attacks are here: what the first known zero-day 2FA bypass means for defenders
ai-assisted
From model quality to business value: the analytics gap in enterprise AI adoption
ai-assisted
The next wave of AI productization: from search augmentation to domain-specific copilots
ai-assisted
The next phase of AI is not bigger demos, but better fit-for-purpose systems
ai-assisted
Azure SQL as an AI-ready data platform: embeddings and external models in production
ai-assisted
Token efficiency as the new FinOps metric for GitHub and Copilot agent workflows
ai-assisted
Cosmos DB Shell and the future of AI-assisted database operations