10 articles about enterprise AI
Cohere argues that small, efficient models are often the smarter enterprise choice, delivering lower costs, faster inference, and sufficient capability for most business workloads.
Cohere releases a comprehensive guide to deploying generative AI in enterprise environments, covering use cases from knowledge search to workflow automation.
Microsoft reported Azure revenue surpassing $100 billion annually, driven by AI demand. Copilot now has 30 million paid seats across Microsoft 365, making it the fastest-growing enterprise product in the company's history.
Prentis, a stealth AI lab co-founded by Ritankar Das, Reid Hoffman, and Marc Pincus, is in talks to raise $100M at a $1B valuation. The company builds computer-use agents for office workflows and claims its in-house Hive-32B model beats frontier APIs at one-tenth the cost.
The Ramp AI Index finds the top 1% of AI-obsessed firms spend roughly $7,500 per employee per month on AI — less than the $16,000 monthly cost of an average software engineer, for now.
NVIDIA released Nemotron 3.5 Content Safety, a 4B model that unifies multimodal, multilingual and custom-policy moderation with auditable reasoning traces.
Cohere released Command A+, a 218B parameter mixture-of-experts model, under Apache 2.0 license — targeting sovereign AI deployments with enterprise-grade agentic workflows on minimal hardware.
Dharma-AI research shows a specialized 3-billion-parameter model beat all commercial frontier APIs on structured OCR, scoring 0.911 versus 0.833 for Claude Opus 4.6 at about 52x lower cost.
KPMG and Anthropic launch the KPMG Digital Gateway Powered by Claude, embedding AI across 276,000 professionals in 138 countries — the largest enterprise AI deployment in the professional services industry.
At SAP Sapphire, NVIDIA and SAP expanded their collaboration to run specialized agents with security and governance controls, embedding NVIDIA OpenShell in SAP Business AI Platform.