
Meta launches enterprise AI platform, hires MongoDB CEO to lead new initiative
Meta hired MongoDB CEO CJ Desai to lead Meta Enterprise Platform, packaging Muse, Business Agent, APIs, and code tools for companies.
Desk
AI adoption inside large organizations.

Meta hired MongoDB CEO CJ Desai to lead Meta Enterprise Platform, packaging Muse, Business Agent, APIs, and code tools for companies.

Google’s Gemini 3.8 Live adds a lip-syncing Live Avatar for Enterprise customers — a face on real-time multimodal chat, with SynthID and identity safeguards attached.

Ema’s $77M Series B bets that multi-agent “AI employees” can wrap SaaS today and replace chunks of it tomorrow — services margins included.

NVIDIA shows confidential Blackwell inference can keep most of its speed — if the runtime is rebuilt for encrypted memory paths.

The Information says Apple is eyeing a return to servers—possibly with Nvidia NVLink Fusion—years after killing Xserve, chasing AI compute demand its Mac minis already feel.

Google Cloud’s Accenture Gemini Enterprise Business Group buys consulting feet on the ground—up to 1,000 trained FDEs—because model share alone is not converting hyperscale CapEx into sticky enterprise ROI.

NVIDIA opens two official Rust paths to native PTX kernels—SIMT via cuda-oxide and Tile via cutile-rs—betting the AI systems stack will keep migrating to Rust.

NVIDIA's open recipe separates evidence, a Markdown self model, and a SQLite judgment ledger—then shows structured memory beating agentic RAG where facts drift over time.

Hours after calling Astra a generational leap into the AGI era, Altman is apologizing — paying ChatGPT users still locked out, no firm timeline.

OpenAI says frontier firms now generate 8.3 times as many output tokens per active user as typical firms, up from 2.6 times in January. That gap is the argument; three startups are the evidence.

A vendor case study with a useful admission buried in it: Gilbert + Tobin got 87 percent active usage by refusing to set usage targets and sending trainers into individual team meetings.

NVIDIA’s Spectrum-X case is that synchronized AI traffic needs hardware routing and per-plane failure isolation, not merely faster Ethernet links.