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Warrior culture or work-life balance? HR technology firms take a stance

HRExecutive

I don’t often cover return-to-office topics, but a recent note about Alex Zekoff, CEO of Thoughtful AI , stood out. Zekoff argues that requiring in-office work is crucial and he believes Google fell behind in AI because it prioritized work-life balance over building a high-performance culture.

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15+ Best Diversity Recruitment Partners for Hiring in 2025

Ongig

As such, you might be considering partnering with diversity recruitment partners. Yet, recently, DEIB has not been a bed of roses for recruiters and companies. As such, modern HR managers and recruiters could find themselves in a bit of a fix. As such, modern HR managers and recruiters could find themselves in a bit of a fix.

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AI and the Future of Work: A Strategic Roadmap for Navigating Labor, Ethics, and Innovation

marenated HR

The Double-Edged Sword of AI In a world captivated by the promise and potential of Artificial Intelligence (AI) , let’s not overlook the intricate implications it brings to labor markets, ethics, and society. Why We Should Care: The Real-World Stakes Ignoring the seismic shifts induced by AI is not an option.

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Direct Selling Deep Dive: How Performance Enablement Platforms Target KPIs

Rallyware for Human Resources

The year was a struggle even for some of the leading players in the industry, who saw their profit margins fall, even those employing direct sales software. The question is whether it was the right software. So she might receive push notifications suggesting that she send X customer a YouTube video about the company’s new makeup line.

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Workday Rising Daily: News Highlights from Innovation Keynote

Workday

Workday’s leadership team announced how we’re helping our customers plan, execute, and analyze from a single system. During the Workday Rising Innovation Keynote, our leadership team announced a number of new products that focus on helping our customers plan, execute, and analyze, all from a single system.

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Pay after placement Data Science

U-Next

Data Science uses a variety of data kinds, including time-dependent, textual, video, and picture data. In order to uncover patterns which will be useful to an organisation and aid in the direction of corporate strategy choices, data scientists will have to be able to examine huge volumes of complicated processed and unprocessed data.

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Top 16 LMS Features Every Multinational Organization Needs

Gyrus

A learning management system (LMS) can be a game-changer in this context. Moreover, the LMS should adhere to various international regulations, measure training effectiveness, and integrate seamlessly with other enterprise software. User engagement strategies, including gamification and interactive content, are also essential.