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Anthropic has put Claude in the video call as a visible participant, building docs, whiteboards and slides while you talk. It's a beta, and only on Google Meet for now. The bigger question is where the work goes next, and it may not be back into Teams or PowerPoint.
A global Microsoft 365 outage that started Thursday afternoon is still going Friday morning in London. Microsoft says recovery is improving in places, but Outlook and Exchange remain uneven. Teams meetings mostly kept working. Calendars, Copilot and other Exchange-dependent features did not.
With Enterprise Connect 2027 just four months away, leading industry analysts question whether the event will go ahead. Despite growing uncertainty among vendors, limited conference planning, and an outdated website, organizer Informa maintains the show is still scheduled to run.
Many organizations can point to growing AI use, but far fewer can show what that use has changed. In this interview, author Fahed Bizzari explains why leaders must move beyond experimentation, address the hidden work AI can create, and measure real business value.
Microsoft is funding deployments. Genesys is lending engineers. Five9 sells AI without a migration, Salesforce follows you into Teams and Zendesk prices each resolution. Five stories, one fight: who gets your AI into production, and who you'll struggle to leave afterward.
Anthropic’s Claude Meetings can turn live meeting discussions into plans, timelines, and action items. For enterprises, the opportunity is faster follow-through, but the central test remains unchanged: whether teams define ownership, access, and escalation clearly.
Josh Bersin Company EVP Amy Farner says AI is moving HR from answering questions to acting on workforce data. Her view of agentic HR by 2030 points to trusted content, faster skills development, and a CHRO with real-time visibility across the entire business, not just the org chart.
Workplace AI support is becoming a test of data quality, access controls and shared accountability. FirstDay Foundation’s Nishanth Sirikonda explains why IT teams should investigate the source material, permissions and systems behind an AI response before blaming the tool
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