Enterprises are not as swayed today by fancy new bells and whistles from the Big Three cloud providers. They want commodity ...

The A2A protocol addresses the need for autonomous AI agents to coordinate actions across a wide array of applications and ...

AI initiatives fail for a handful of well-known reasons. Developers, data scientists, and technology leaders hold the keys to ...

Kotlin-based framework for building asynchronous applications also now automatically deserializes configuration files into ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind.

The technology, which enables rapid business transformation, requires a new data layer—one built for speed, scale, and ...

The move affects users of GitHub’s most advanced AI models, including Anthropic’s Claude 3.5 and 3.7 Sonnet, Google’s Gemini ...

Dead code, security false positives, and idle cloud capacity are the leading drags on devops in Java environments. Here’s how ...

We won’t make progress with AI if we don’t know how to predict costs accurately. Enterprises are running in circles.

Why use expensive AI inferencing services in the cloud when you can use a small language model in your web browser?

Learn how data fabric addresses fragmentation, compliance, and Shadow IT to deliver robust, centralized data protection and ...

Making its database and cloud services ‘AI-centric’ has brought Oracle newfound momentum. It still needs to figure out ...