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Inclusion in Translation explores how diversity and inclusion (D&I) efforts succeed or fail across multinational enterprises operating in different cultural, regulatory, and institutional contexts. Drawing on a 15-country dataset and grounded in Institutional Theory and Social Identity Theory, this book uncovers the hidden forces-governance structures, cultural norms, and policy frameworks-that shape D&I outcomes globally. Through advanced machine learning analysis, it reveals the non-linear patterns that explain why inclusion efforts thrive in some regions but falter in others. The book...

What if artificial intelligence could help save the planet?ClimateCode reveals how machine learning is transforming the future of climate forecasting. Combining deep-learning models like LSTM with traditional climate systems, this book introduces a powerful framework for predicting global risks-from rising sea levels to extreme weather. Drawing on more than five decades of NASA and NOAA data, it shows how AI not only improves accuracy but makes climate science faster, smarter, and more actionable.Packed with real-world insights, ClimateCode is a must-read for data scientists, climate leaders,...