Practice
How AI actually ships: enterprise case studies, engineering lessons from production, adoption data and ROI evidence.
How AI actually ships: enterprise case studies, engineering lessons from production, adoption data and ROI evidence.
Latest in Practice
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Kimi K2.7 now available for Copilot Business and Enterprise
On July 1, 2026, we announced Kimi K2.7 would be available to Copilot Pro, Pro+, and Max plans. The model is now additionally available on Copilot Business and …
Conversational Design: Five Patterns to Shape Customer-facing AI Experiences
What held up in production when the goal wasn’t just functional accuracy but better dialogue…
Responses are the Easy Part: What We’ve Learned Building Real-time Voice Experiences at Scale
Timing, interruption, silence and recovery shape the experience as much as words…
Meta-Harness R&D: Enterprise-Grade Self-Improvement for Long-Horizon AI Workflows
How autonomous code improvement can be made disciplined enough for enterprise use…

Per-user budgets for cost centers in the billing UI
Enterprise admins can now create cost center user-level budgets directly in the billing UI where you manage cost centers and budgets. This feature is available …
Australian Payments Plus moves faster with ChatGPT and Codex
See how Australian Payments Plus uses ChatGPT Enterprise and Codex to move faster through payments complexity. AP+ saves time, improves quality, and keeps human…

Expanding Managed Agents in Gemini API: background tasks, remote MCP and more
We’re announcing new capabilities in Managed Agents in Gemini API so developers can build reliable, production-ready agents.…

Agent Skills for .NET Is Now Released
You can now give your .NET agents reusable packages of domain expertise – instructions, reference documents, and scripts they load only when a task needs …

AI Innovators Adopt NVIDIA Vera — Why Max Single-Threaded CPU at Scale Matters
Max single-threaded CPUs at scale are a new category of CPUs built for the agentic AI era. Across the creation and deployment of an agentic system, the CPU is o…

Building the foundation for an autonomous enterprise
Artificial intelligence may have captured the public imagination through chatbots and image generators, but some of its most consequential use cases are unfoldi…

If you use Google, you’re training its AI. Here’s how to opt out.
PSA: A change to Google's privacy settings let it train its AI on more of your data. Here's how to opt out.…

How Nations Are Deploying AI for Strategic Priorities
Nations have long invested in domestic infrastructure to advance their economies, protect and use their data, and take advantage of technology opportunities in …

Mistral CEO Mensch says proprietary AI models give labs a front-row seat to your business processes
Mistral founder Arthur Mensch warns companies against relying on closed AI models. He claims AI labs are storing more and more customer data and have, in some c…

Anthropic developer shares prompting tips for Fable 5 that focus on finding your own blind spots first
Anthropic developer Thariq Shihipar argues that with Claude's new model, Fable 5, the bottleneck is no longer the model itself but the user's blind spots. He de…

Microsoft follows Anthropic and OpenAI into the AI super app race with overhauled Copilot and AutoPilot agents
Microsoft reportedly plans to merge its consumer and enterprise Copilot apps into a single app in August. Rarely used features like Copilot Podcasts are getting…

250th Anniversary of the Adoption of the Declaration of Independence
BY THE PRESIDENT OF THE UNITED STATES OF AMERICA A PROCLAMATION Two hundred and fifty years ago, the Founders of our great Republic gathered in Philadelphia to …
Copilot agent session streaming is now in public preview
GitHub Enterprise Cloud customers with enterprise managed users can now access GitHub Copilot agent session data across all Copilot clients, including: Cloud ag…

Microsoft launches $2.5 billion "Frontier Company" to embed 6,000 AI engineers inside enterprise clients
Microsoft is investing $2.5 billion in a new unit called "Frontier Company" that puts 6,000 engineers directly at enterprise customers. The goal is to integrate…

Cost centers now support AI credit pools
You can now cap how much of your enterprise’s monthly included AI credits a cost center can use. This is available through the REST API today. Management …

NVIDIA Unlocks AI Compute at Scale, Inviting Capital Partners to Power the AI Infrastructure Buildout
As AI moves from model development to production inference, compute demand is accelerating and shifting toward continuously operating AI factories that generate…

Enterprise managed-settings.json is generally available
GitHub Enterprise Cloud customers can configure AI standards through a managed-settings.json file maintained in a .github-private repository in a selected organ…

Enterprises can default to auto model selection
Enterprise administrators can now set model to auto in the enterprise managed-settings.json to make Copilot auto model selection the default for new conversatio…
Beta SDKs for the 2026-07-28 MCP Spec Release Candidate Are Here
Beta releases of the Python, TypeScript, Go, and C# SDKs are now available with support for the 2026-07-28 MCP specification release candidate. Here is what cha…

Meta follows SpaceX's playbook and builds a cloud business to sell its spare AI compute to outside customers
Meta is building its own cloud business to sell spare AI compute to outside customers. With planned AI investments of up to $145 billion this year alone, the sa…

Per-user AI credit budgets available for cost centers
Enterprise admins can now set a cost center user-level budget: one per-user AI credit budget on a cost center that applies to every individual in it. As members…
How ChatGPT adoption has expanded
New OpenAI Signals data shows how ChatGPT adoption is growing globally, with users increasing usage, exploring more capabilities, and driving growth across regi…

How NVIDIA’s Inference Software Stack Powers the Lowest Token Cost
As organizations move from AI pilots to production AI factories, infrastructure decisions have shifted from peak chip specifications to cost per token: how many…
UniVAD v2: Unified Visual Anomaly Detection via Support-Conditioned Boundary Construction
Unified visual anomaly detection seeks to train a single detector that can be deployed across categories, domains, and application scenarios. In the few-shot tr…
Exploiting Local Flatness for Efficient Out-of-Distribution Detection
Detecting out-of-distribution (OOD) data is crucial for reliable machine learning deployment. Among detection strategies, post-hoc methods are particularly attr…
SpreadsheetBench 2: Evaluating Agents on End-to-End Business Spreadsheet Workflows
Spreadsheets are widely used for business analysis, financial modeling, reporting, and decision-making. However, most existing spreadsheet benchmarks evaluate i…