Board, one of the leading Enterprise Planning Platforms, today announced the launch of Board Agents built on Microsoft Foundry. Board Agents deliver an intelligent suite of domain-specific, enterprise ...
BOSTON--(BUSINESS WIRE)--Board, one of the leading Enterprise Planning Platforms, today announced the launch of Board Agents built on Microsoft Foundry. Board Agents deliver an intelligent suite of ...
Domain-Specific, Enterprise-Ready AI Agents Support Continuous Planning Across Finance, Supply Chain and Merchandising. January 21, 2026 — Board, one of the leading Enterprise Planning Platforms, ...
Microsoft is seeking approval for additional future phases of its data center campus development in Mount Pleasant, with plans that could include another 8.4 million square feet of data center space ...
LOWELL, Mich. — Hundreds showed up for a Lowell Township Planning Commission meeting Monday night to oppose a proposed nearby data center from Microsoft. The crowd once again exceeded capacity, and ...
The project, first reported by My San Antonio, consists of a standalone data center totaling nearly 200K SF and is estimated to cost $400M. According to Microsoft’s filings with state regulators, ...
Microsoft's new MAI Superintelligence Team will pursue artificial intelligence research for improving digital companions, diagnosing diseases and generating renewable energy. The group will be under ...
Microsoft has unveiled a public preview of its collaborative agents in Microsoft 365 Copilot, bringing a array of "always‑on" agents grounded in context for channels, meetings, SharePoint sites, Viva ...
MOUNT PLEASANT, Wis. (WBAY) - Microsoft announced plans to build a second datacenter for artificial intelligence in Wisconsin as it nears completion of what it calls “the world’s most powerful AI ...
If a hacker gained access to your Microsoft account, they could download your OneDrive files, bypass your Windows PC’s security, and potentially even track your laptop’s location using GPS. But ...
Despite their remarkable success in complex tasks propelling widespread adoption, large language-model-based agents still face critical deployment challenges due to prohibitive latency and inference ...
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