David De Cremer 
Leadership by Algorithm [EPUB ebook] 
Who Leads and Who Follows in the AI Era?

Apoio

With artificial intelligence on the rise, the way we run our organisations will change—and drastically. But what exactly will that future look like? And who will take the leading role: machines or people?
In this compelling new book, leading management guru David De Cremer identifies the key areas where algorithms will collide with human skills, and assesses the likely outcomes.
Will your next boss be a robot? Can an AI boss display the human qualities that define a good leader: compassion, empathy, imagination, ethics, and strategic awareness?
Drawing on his own research findings, and those from thought leaders around the world, the author presents fascinating insights into the challenges that an automated work environment poses for organisations of the future.
Leadership by Algorithm offers some startling conclusions that make clear the true nature of the power struggle between man and machine. It also identifies the leadership qualities needed to deal with this struggle most effectively.

€22.99
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Sobre o autor

David De Cremer is a provost chair, professor in management and the founder and director of the Centre on AI Technology for Humankind (Ai TH) at the National University of Singapore (NUS) Business School. He is the former KPMG-chaired professor in management studies at the University of Cambridge, and has been named the most influential economist in the Netherlands (2009–2010), a global thought leader by the Trust Across America organization (2016), and one of the world’s top 30 management gurus and speakers in 2020 by the organization Global Gurus.
He is frequently featured by media worldwide (e.g. The Economist, the Financial Times, Wall Street Journal, Forbes, Straits Times, Channel News Asia, BBC), consults companies worldwide, and is a bestselling author, with his recent book, Huawei: Leadership, culture, and connectivity, having sold more than one million copies.

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Língua Inglês ● Formato EPUB ● ISBN 9780857198297 ● Tamanho do arquivo 0.7 MB ● Editora Harriman House ● Publicado 2020 ● Carregável 24 meses ● Moeda EUR ● ID 7474252 ● Proteção contra cópia Adobe DRM
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