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 ...

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 ...

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

New offerings from AWS, Google Cloud, and Microsoft Azure have upended the sovereign cloud services market—and raised ...

Two celebrated frameworks get together to make your life easier. Here’s a first look at full-stack JavaScript development ...

Truly enterprise-grade multicloud management solutions are rare, but these come close. And their diverse approaches address a ...

AI agents are rewriting the future of customer experience. Here's what developers and tech leaders need to know now.

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

Qwen continues to trail o3 in both speed and skills, but the pricing trend is clear: Advanced reasoning is becoming a ...