
Companies and Professionals Say No to Generative AI
Amid the flood of calls to quickly adopt generative AI, some voices are expressing hesitation toward a technology that, at this point, still has many flaws.
Amid the flood of calls to quickly adopt generative AI, some voices are expressing hesitation toward a technology that, at this point, still has many flaws.
New Year, New Challenges! What does 2025 have in store for the world of Human Resources? After reviewing numerous reports on the topic, here’s our selection of three key trends that could profoundly shape the HR profession.
Despite all the praise generative AI receives, there are still few use cases where it genuinely saves companies time or money. Most businesses remain in the exploratory and testing phase, aiming to stand out from competitors. To fully harness the potential of this new technology, three new concepts must be integrated into how we think about and adopt generative AI. Here’s what they are:
Marketers today have no choice: they must embrace artificial intelligence (AI) in their daily work. The question often arises: “How?” Web marketing consultant Myriam Jessier.
Isarta’s new AI tool reduces unconscious bias and speeds up applicant screening
In the minds of many, emerging technologies are supposed to be our lifeline to combat the climate crisis. However, it’s becoming increasingly clear that the rapid development (and adoption) of AI poses as many environmental problems as it solves.
PwC has just released its first Global AI Employment Barometer 2024. This report analyzed over half a billion job postings in 15 countries. Productivity, wage increases, job growth… Here are the 5 key highlights.
How can generative AI be used in the best way while mitigating its risks of “hallucinations”? Researchers provide an answer through a model that crosses the ability to verify AI-generated information with the importance of the information’s accuracy. This is useful in the era of rapid expansion of ChatGPT and similar technologies.