AI is just as capable of increasing as it is reducing complexity. The impact of AI depends on where and how it is applied.

Like many other AI agents -- an often more capable and autonomous assistant, compared to a chatbot -- Zoom's newly upgraded ...

There has been an explosion of AI tools in the productivity space. With writing assistants, meeting note generators, automation bots, and task managers with built-in intelligence, knowledge workers ...

A new Stanford study reveals where AI should augment—not automate—human work. For healthcare, the implications point to a ...

Slack launches comprehensive AI features including enterprise search and writing assistance as Salesforce challenges ...

Instead of using AI for productivity or content, I asked it timeless philosophical questions to explore whether it could sharpen how we think.

A study from METR found that experienced open-source developers took 19% longer to complete tasks when using AI tools, ...

The research, conducted by the non-profit Model Evaluation & Threat Research (METR), set out to measure the real-world impact ...

Discover how Taskmaster AI cuts vibe coding errors by 90% and boosts productivity 10X with its innovative Multi-Component ...

The task is daunting considering the complexity and sophistication of the models deployed, the wide range of applications they serve and the inherent uncertainty about how they will evolve.

To achieve these productivity gains, organizations must consider making process- and culture-specific changes alongside adding AI-powered tools. Here are three software development challenges that ...

These challenges reflect the overall complexity of modern cloud, Kubernetes, and AI environments. While platform teams are chartered with providing infrastructure and tools necessary to empower ...