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Zoom Launches Intelligent Director Feature For Zoom Rooms
The AI-powered solution enhances connections and optimizes conference room experiences using multiple cameras.
Popular video meeting app Zoom has just announced a new feature, Intelligent Director, for improved hybrid meetings within Zoom Rooms. The technology uses multiple cameras combined with AI algorithms to display the best image and angle of meeting participants.
“As more people return to the office, it’s no longer enough to deliver the best remote worker experience; every business needs a solution to deliver the best hybrid meeting experience,” explained Smita Hashim, chief product officer at Zoom. “Even with some employees in the office, oftentimes other team members are dispersed, so meeting equity and inclusion become more important than ever. Intelligent Director is the solution that can bring employees together, regardless of location, so they can truly connect face-to-face”.
Intelligent Director will allow greater clarity for remote participants, even in large conference rooms, and help to avoid the “bowling alley effect” by sending streams to the gallery view of the Zoom Meeting. The AI-enhanced tech can frame up to 16 participants and is an evolution of the company’s existing Smart Gallery feature.

For larger meeting spaces, participants can often be hidden when only using a single camera, so Intelligent Director’s multi-camera configuration was designed to enable meeting equity for everyone in a conference, even if they move or turn their heads.
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Intelligent Director has been made possible through support from Zoom’s hardware partner ecosystem, which includes industry heavyweights including Apple, Dell, HP, Intel, and Logitech.
Whether or not remote working has a future after the pandemic, video conferencing continues to prove a vital communication tool for keeping employees and teams connected, and continuous feature enhancements are a way for Zoom to maintain its position as a market leader.
News
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.

Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
