Joe McKendrick

Think about the endless, 24-hour-aa-day enthusiasm customers show for their favorite video games.

Targeted artificial intelligence apps such as chatbots or as personal assistants have proven their worth, but when it comes to AI on a larger, enterprise scale, we still have our work cut out for us.

The question is how to go about achieving AI at such scale, to the point where it does deliver revenue. The trap into which many companies fall is an inability to push AI beyond the pilot stages,

The rise of generative and agentic AI has dramatically changed the software-building process - and the skills required.

By all accounts, AI-driven scams are on the rise in business, taking the forms of deepfake voice calls, video chats. and of course, e-mail.

In one instance, an AI agent stayed open for four days and ran 4,819 calls for almost $4,000. No one had budgeted for this cost.

The spate of cuts and layoffs over the past two years, especially those that place the direct blame on artificial intelligence, has turned out to be counterproductive to the extreme.

Recent studies indicate that AI-driven layoffs have largely proven counterproductive for organizations

New research suggests that what agents come up with after their shopping runs is unpredictable and inconsistent.

'In a world where machines can generate answers instantly, your advantage is no longer what you know.'