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The Inclusion Equation Leveraging Data & AI For Organizational Diversity and Well-being / Dr. Serena Huang.

O'Reilly Online Learning: Academic/Public Library Edition Available online

View online
Format:
Sound recording
Author/Creator:
Huang, Serena., Author.
Contributor:
Lam, Rebecca., Narrator.
Language:
English
Subjects (All):
Diversity in the workplace--Data processing.
Diversity in the workplace.
Artificial intelligence.
Physical Description:
1 online resource (1 audio file (07hr., 10min., 31sec.))
Edition:
Unabridged.
Place of Publication:
[S.l.]: Ascent Audio, 2025.
System Details:
audio file
Summary:
The Inclusion Equation is a comprehensive, one-of-a-kind guide to merging DEI and employee wellbeing concepts with data analytics and AI. In this book, renowned thought leader and professional keynote speaker Dr. Serena H. Huang explains exactly how to quantify the effectiveness of new talent strategies by connecting them to a firm ROI estimate, enabling listeners to approach and win the favor of higher-ups in any organization with the same effectiveness that marketing and financial departments do. This book is written in a style that is appealing and accessible to all listeners regardless of technical background, but with enough depth to provide real insight and strategies. Dr. Huang distills her ten years of Fortune 500 people analytics leadership experience into tools and framework you can leverage to measure and improve DEI and wellbeing in your workplace. Some of the topics explored in this book include how to attract and retain top talent, including Gen Z and Millennials, with tailored DEI and wellbeing strategies; quantifying not only a talent strategy's perceived initial effect on an organization, but also its improvement and expansion over time; turning DEI and wellbeing from illusive corporate concepts to quantifiable metrics; and how to harness the power of AI to create synchronized DEI and wellbeing strategies that maximize ROI.
Participant:
Narrator: Rebecca Lam.
Notes:
Audio book.
OCLC-licensed vendor bibliographic record.
ISBN:
1-66375-339-3
OCLC:
1516975901

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