Despite some quarterly fluctuations, Microsoft reported a total revenue of $65.6 billion, which was above expectations and indicative of strong business fundamentals. Importantly, Azure ...

AI was responsible for 9 percentage points of the 33% increase in Microsoft’s Azure and cloud services ... its own specialized processors for training and running AI models.

Two vulnerabilities identified by researchers enable attackers to bypass gen AI guardrails to push malicious content onto protected LLM instances. Security researchers at Mindgard have uncovered ...

In the upcoming earnings report, investors will closely monitor Microsoft's growth in Azure cloud services ... to meet the fast-growing demand for AI training. In the forward-looking statements ...

More broadly, with Azure AI ... Microsoft’s capital expenditures reached a record $20 billion for the quarter, as the company continued to build out its infrastructure for training and running ...

Microsoft announced on social media that its Azure platform is ... startups like Character.ai, use both Google Cloud TPUs and Nvidia GPUs to meet their AI training and inference needs.

is unveiling several Microsoft Cloud for Healthcare innovations that connect care experiences, enhance team collaboration, empower healthcare workers, and unlock clinical and operational insights.

Regardless, in our view, Microsoft is comfortable that the future AI revenue contribution within Azure combined with both higher growth rates and a greater AI contribution will foster greater ...

These include new healthcare AI models through Azure AI Studio, data management and security in Microsoft Fabric, healthcare AI agents through Copilot Studio and AI-driven solutions for nursing ...

This extension advances Zafin’s technological capabilities, continuing to position the company as a major player in core banking modernization and innovation, running on Microsoft Azure. The agreement ...

Top global banks rely on Zafin’s advanced SaaS platform and Microsoft Azure AI tools to drive core modernization initiatives and stay ahead of the competition. With a future-forward platform ...

DLE will use Microsoft Azure AI technologies and advanced collaboration tools to enhance “real-time decision-making and operational efficiency ” streamline workflows, “reduce administrative ...