AI is automating the work around work, not human value. Why leaders misread AI’s impact on work, and what really ...

As AI and humans increasingly work side by side, this expert offers guidance on strategizing for task assignment and ...

AI is already everywhere at work. It's the invisible hand behind your inbox drafts, the reason your reports build themselves faster, and maybe even why your boss thinks they're suddenly a "data person ...

Purdue University’s six-month Professional Certificate in Data Science and Generative AI is available online through ...

A policy for the use of AI in the workplace should, at minimum, address the main concerns for most employers: discrimination and bias risks, confidentiality and intellectual property, and compliance ...

Working as a physician, I quickly learned how the realities of modern work can impact everyone, not just patients, but coworkers and care teams as well. As I witnessed colleagues struggle with burnout ...

This article is authored by Jayanth Rasamsetti, founder CEO & chief AI scientist, Pixeltests, Hyderabad.

Companies increasingly use AI to assess and support employee emotional well-being. AI can provide consistent empathy but may compromise privacy and trust. Emotion-tracking tools risk bias against ...

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In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.