This API has several functions, and you can use it to detect human faces in images. You can also use the Face Details API to detect face, gender, age, and other facial features. The service also ...

Boomi’s recognition as a Leader in API management reflects its execution and vision Boomi™, the leader in AI-driven automation, today announced it has been recognized as a Leader in the 2025 Gartner® ...

Microsoft has announced a major step toward greener cloud operations with the public preview of environmental sustainability features in Azure API Management. These tools are designed to help ...

With rising costs due to tariffs and an evolving regulatory landscape, today’s healthcare industry is under unprecedented strain. As a $25 billion-plus leader in medical-surgical supply manufacturing ...

Multi-factor authentication (MFA) will be set up by Microsoft for all Azure resource management operations in an effort to improve security across Azure systems beginning in October which is in order ...

The Model Context Protocol (MCP), open-sourced by Anthropic in November 2024, has rapidly become the cross-cloud standard for connecting AI agents to tools, services, and data across the enterprise ...

Abstract: In this paper, we propose TRAIT (Automatic Resource-management API misuse Detector), a novel framework grounded in two key observations: (1) RM-APIs often exhibit unique RM semantics, and (2 ...

Taiwan International Ports Corp. has migrated part of its core "Taiwan Port Net" system to Microsoft's Azure cloud platform in Taiwan, marking a significant deployment case for the US technology giant ...

Google says an API management issue is behind Thursday's massive Google Cloud outage, which disrupted or brought down its services and many other online platforms. Google says the cloud outage started ...

Searching for a home online has been stuck in the filter-search paradigm for decades. “Our business is real estate data,” says Andy Florance, CEO of CoStar Group, which owns homes.com, apartments.com, ...

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...