AI

Which AI model should you bet your company on?

Most enterprise workloads don’t live at the frontier anyway. Extraction, summarization, classification, document comparison, and customer-service assistance often work perfectly well with smaller, cheaper...

The IDE is dead, long live the ADE

For the last 40 years or so, software development tooling has centered around the IDE — the integrated development environment. Borland is widely credited with...

Three keys to deploying AI agents

First, the security view. Traditional logging captures request and response, which assumes one human action per logged event. An agent’s unit of work is...

Relearning cloud lessons from runaway AI token costs

Some enterprises are going further, adopting older models or open source alternatives for appropriate use cases. Qualcomm, for instance, has invested in running models...

Pick your Python accelerator | InfoWorld

Faster Python has stopped becoming a pipe dream, and is now a major topic for its development. Sometimes that comes by way of new...

OpenAI launches ChatGPT Work as it broadens GPT-5.6 rollout

OpenAI is sharpening its enterprise AI strategy with the launch of ChatGPT Work, a new agentic platform designed to automate workplace tasks, alongside the...

CrowdStrike identifies five new AI prompt injection threats

Unwitting User Context-Data Injection, an exploit that draws on the boundary between trusted data and executable instructions, tricking the user into introducing malicious instructions...

Meta launches low-cost Muse Spark 1.1 as enterprise AI spending comes under scrutiny

Meta has unveiled Muse Spark 1.1, saying the frontier AI model rivals leading LLMs on coding, computer use, and agentic AI benchmarks while undercutting...

Practical challenges in managing Kubernetes at enterprise scale

Test autoscaling like you test your app. Load-test it, break it, see what happens after an incident. Otherwise, you’ll find the limits when it...
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