Typically, AI requires massive amounts of training data to understand complex human actions. However, in real-world scenarios, it is often difficult to secure sufficient video data for specific ...

Agentic AI refers to systems that can plan, initiate actions, and execute tasks with a degree of autonomy. Rather than ...

Just like a fancy camera doesn't make you a photographer, just having access to powerful AI tools doesn't mean you're getting real value out of them. It's what you do with the tools—how you structure ...

If you want AI to drive real transformation, not just more activity, you need to redesign accountability.

Phillips & Associates reports AI algorithms are reshaping hiring practices, raising concerns over bias and legal ...

Industrial AI is moving toward applications, as manufacturers concentrate investment where realized value is greater.

The share of teachers using AI-run tools nearly doubled from 2024 to 2025, according to a national survey by the EdWeek ...

From intelligence to research and grant applications, artificial intelligence is playing a bigger role in government and ...

AI adoption and use are still evolving, and the technology itself is changing rapidly. What we know about AI and its impact on productivity growth and the economy remains uncertain. Transformations ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...