OpenAI released GPT-5.4, billing it as the company’s most capable enterprise-grade AI model yet and a direct challenge to Anthropic’s growing foothold in business applications. The launch comes during ...

The past two years marked a decisive shift for enterprise AI. What began as curiosity around Generative AI (GenAI) has rapidly evolved into a strategic push toward agentic systems; AI that can reason, ...

Generative AI is not a standalone solution. When combined with composable architecture, it enables new levels of agility, ...

Google LLC’s cloud unit Google Cloud is continuing its trajectory toward providing users broader access to generative artificial intelligence capabilities, allowing them to customize their own AI for ...

The astonishing natural language capabilities of generative AI, built with large language models (LLMs), brought AI decisively into the public consciousness. These mammoth model types may be the most ...

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

New HyperFRAME research finds infrastructure velocity is now the primary constraint on enterprise AI progress ATLANTA, ...

Furthering its drive to build a distinctive position in enterprise artificial intelligence, IBM Corp. today is rolling out a series of new language models and tools to ensure their responsible use.

While closed models like OpenAI's GPT-4 dominated early adoption, open source models have since closed the gap in quality, and are growing at least as quickly in the enterprise, according to multiple ...

It sounds like a procurement decision: pick a frontier LLM, standardize, negotiate pricing, and scale rollout. But in 2026, that mindset quietly breaks—because the enterprise problem is no longer ...