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Why talent acquisition pros must learn to analyze data, according to a new book

HRExecutive

The talent acquisition field has consistently been an early adopter of HR tech, using it “not as a crutch but as a catalyst,” according to Mercer researchers. When it comes to AI specifically, nearly 40% engage it to build their talent pipelines—the most common application of AI in the talent acquisition function.

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Key Human Resources (HR) Pillars: Your 101 Guide

Analytics in HR

The HR pillars include the following: Pillar 1: Talent acquisition and recruitment HR professionals in talent acquisition and recruitment teams are responsible for recruiting, hiring, and onboarding new employees. HR coordinates communication and training of these laws, such as anti-discrimination and anti-harassment.

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What are the Best 5 HR Machine Learning Use Cases?

Engagedly

In talent acquisition, AI assists in identifying relevant skills and traits by analyzing multiple CVs and job descriptions. Machine learning then utilizes this information to assess applicants, presenting the results to recruiters.

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Artificial Intelligence: What HR Pros Can Do to Prepare For the Future

HR Bartender

Build visually pleasing presentations Conduct research – using AI as part of a multi-pronged research project can improve efficiency and reduce research time – however, remember that you should always validate any of your Artificial Intelligence research results ( see cautionary tale here ). disparate impact and age discrimination).

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Top 12 HR Issues for Leading Your Organization to Success in 2023

EmployeeConnect

While remote working has many benefits, such as increased flexibility and reduced commute times, it also presents new challenges for HR Managers. Talent acquisition and retention. As the economy improves and unemployment rates remain low, HR Managers are facing the ongoing challenge of finding and retaining top talent.

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We’re in an AI revolution. What’s HR’s role?

HRExecutive

HR’s AI priorities - Advertisement - As with any transformative technology, AI also presents risks and challenges that HR professionals must navigate carefully. Prioritize transparency, fairness and bias-free decision-making when implementing AI tools in talent acquisition and performance management areas.

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How the diversity backlash is affecting DEI efforts in the workplace

HRExecutive

Musk claims that diversity, equity and inclusion are “propaganda words” and said, “the point was to end discrimination, not replace it with different discrimination.” Plus, I’ve never seen anyone present a business case on the merits of homogeneity. Despite the progress, this commitment hasn’t been without its challenges.

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