Driven by technological advancements and shifting workforce dynamics, the future of work is changing at a rapid pace. For Kate Bravery, Global Leader of Advisory Solutions & Insights, and Ilya Bonic, Head of Strategy and Career Business Leader at Mercer, this means adopting innovative strategies to navigate these changes effectively. As such the dynamic duo have paired up to put these into action through their book, "Work Different: 10 Truths for Winning in the People Age."

In this episode of the Digital HR Leaders podcast, David Green welcomes Kate and Ilya to unpack their 10 truths for thriving in the modern workplace. Exploring how their insights are transforming HR practices and helping organisations build more resilient and agile workforces, in this conversation, you can expect to learn more about:

• The key concepts from "Work Different: 10 Truths for Winning in the People Age" and how they apply to today's work environment
• Key findings from Mercer's Global Talent Trends 2024 report, focusing on human-centric productivity, trust and equity, and digital-first cultures
• Real-world examples from the London Stock Exchange, Novartis, and Infosys, highlighting innovative talent management and skill development practices
• The role of AI in transforming HR processes and enhancing talent management, from predictive analytics to personalised employee experiences
• Practical strategies for HR leaders to build trust, foster transparency and create inclusive workplaces
• How to use analytics to identify and bridge inclusivity gaps, ensuring fair and equitable treatment for all employees

If you are an HR Leader looking to gain a competitive advantage in the future of tomorrow, this is an episode you do not want to miss.

Support for this podcast comes from Crunchr, a platform that integrates an HR data lake with state-of-the-art people analytics. Whether you're an advanced user or just starting out, Crunchr's generative AI co-pilot helps you unlock insights with ease.

You can learn more by visiting www.crunchr.com

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