Running large AI models is hard. This chip can help you run them faster, scale better, and cut delays in real cloud ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

These apps are engineered around high-speed lines, thermal variability, CIP/SIP complexity, micro-stoppages, drift conditions ...

AI is driving urgency and new requirements for application modernization in the cloud. In partnership withMicrosoft Azure and AMD Business applications powered by AI are revolutionizing customer ...

Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly. AI pipelines are transforming how enterprises handle data, but they’re ...

Jean Joseph, a data & AI engineer with deep expertise in database development, will explain how to build AI-powered applications with Azure Database for PosgreSQL at at upcoming developer conference.

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

The job of application architects is getting harder as the integration of generative artificial intelligence, adoption of platform engineering, and heightened security demands are providing change at ...

Socialhub's CIP, built on Microsoft Azure, consolidates customer data, analyzes it, and makes recommendations.

As more organizations build applications with Azure AI services, security teams and developers are encountering new challenges tied to identity, data access and endpoint exposure. Traditional security ...

The two tech giants remain the most balanced plays in the booming AI market.