Category: Data Science

Mind The Gap: What Will It Take For People To Trust AI?

Mind The Gap: What Will It Take For People To Trust AI?

​In January, a study by workforce solutions firm ManpowerGroup found AI adoption jumped by 13% from last year, yet worker confidence in AI slipped 18% in that same timeframe. That’s leading to a worrying trend: Those workers are seeing AI speed up their work and increase their output, but the results of that output are

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The True AI Race: People Over Chips

The True AI Race: People Over Chips

There’s growing concern that AI is coming to take everyone’s jobs. One of the reasons we think that is because AI leaders are saying so. OpenAI CEO Sam Altman said last year that AI will make some job industries “just like totally, totally gone.” New technologies like agentic AI are already taking over common tasks

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When The Bubble Bursts: Tips For Businesses Considering AI

When The Bubble Bursts: Tips For Businesses Considering AI

AI is a hot topic right now—possibly too hot, with The Wall Street Journal reporting companies like Facebook are spending around $600 billion in hopes of cornering the market. That’s a lot of cheddar, all pinned on the hopes of one technology, however revolutionary it may potentially be. But the problem facing Meta (and X,

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Making The Grade: How AI Is Affecting Education In More Ways Than One

Making The Grade: How AI Is Affecting Education In More Ways Than One

AI in the classroom has been a frequent topic of conversation (and consternation) lately among teachers, students and parents. Much of the debate over GenAI chatbots such as ChatGPT and Google Gemini is about the ease with which students can use them to cheat in school without detection, robbing them of the opportunity to learn.

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