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

HRExecutive

The consulting firm also found that most HR departments use two or more platforms to facilitate the recruiting process. Meanwhile, new AI-driven solutions are hitting the market at a steady pace. Throughout the chapters, practical examples and case studies from organizations across the globe provide real-world context. “We

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AI Recruiting Tools May Be the Future, But Proceed With Caution

Enspira

The vision is simple: Artificial Intelligence lends lightning-fast computing power and machine learning to make recruiting easier — and, even more importantly, removes the element of human bias. Technology—and AI recruiting technology in particular—is only as free of bias as its code. But we’re not quite there yet.

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Talent Acquisition

Analytics in HR

Talent acquisition vs. recruitment The terms talent acquisition, recruitment, strategic recruitment, and corporate recruitment are often used interchangeably. While talent acquisition and recruitment share the same primary goal of filling open positions in an organization, there are some notable differences.

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Four Common Tech Ageism Myths Debunked With Data

Visier

Situational ageism — prejudice or discrimination on the basis of a person’s age — undoubtedly exists in the tech industry. But is it happening on a widespread, systemic level? . Here are four common ageism myths we debunked with the data: Myth #1: Older tech workers are less valued.

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Four Common Tech Ageism Myths Debunked With Data

Visier

Situational ageism — prejudice or discrimination on the basis of a person’s age — undoubtedly exists in the tech industry. But is it happening on a widespread, systemic level? . Here are four common ageism myths we debunked with the data: Myth #1: Older tech workers are less valued.

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Four Common Tech Ageism Myths Debunked With Data

Visier

Situational ageism — prejudice or discrimination on the basis of a person’s age — undoubtedly exists in the tech industry. But is it happening on a widespread, systemic level? . Here are four common ageism myths we debunked with the data: Myth #1: Older tech workers are less valued.

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Lessons from Canada’s Equal Pay Act

Trusaic

Seeking to address systemic discrimination in compensation and pay practices, and to reduce the gender wage gap by using pay data reporting to access a strategy for acheiving parity, Canada’s Pay Equity Act replaces the complaint-based method of addressing pay inequity instated under the Canadian Human Rights Act (CHRA).