AI-Savvy Leader (eBook)

Nine Ways to Take Back Control and Make AI Work

David De Cremer (Autor)

eBook Download: EPUB

2024
224 Seiten
Harvard Business Review Press (Verlag)
978-1-64782-624-6 (ISBN)

Infos

Leaders, don't let AI get the best of you.The AI transformation is underway, but where are the leaders who will ensure their companies implement AI successfully and responsibly? Up until now, leaders have largely ceded their role in the AI transformation, pushing strategy formulation out to tech teams and leaving investment decisions to groups that don't have a full view of the organization or its goals. Just when responsible leadership is more crucial than ever, leaders are abdicating their role in understanding and executing in the new world of human-machine collaboration. A generation of AI transformation failures awaits if leaders don't connect their use of AI to their strategies.This book helps leaders take control of the wildly rapid deployment of AI across organizations. Clearly and concisely, it focuses on the nine actions leaders need to take in order to successfully preside over the transition to a more AI-centric future that will lead to growth for allcompanies and workersand avoid the kinds of mistakes that author David De Cremer has seen many early adopters make. What may surprise you is that the nine actions De Cremer focuses on are based on skills that are second nature to successful leaders: creating a vision, communicating well, and executing a strategy. But here he shows you how to apply these skills in the context of AI. This is not a book about mastering machine learning or any of the latest developments in AI technology itself. Rather, it's a clarion call for leaders to take their rightful place at the front of the AI revolution and lead their organizations successfully into the new world.

Produkt-Details

• Erscheint lt. Verlag: 18.6.2024
• Sprache: englisch
• Themenwelt: Informatik ► Datenbanken ► Data Warehouse / Data Mining
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Naturwissenschaften
• Themenwelt: Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management
• Schlagworte: artificial intelligence, AI, leadership, technology, digital transformation, change, change management, information technology, algorithms, machine learning, digital, automation, leading change, CEO, executives, CTO, data, data science, data scientist, analytics, data analytics, leading digital transformation, AI deployments
• ISBN-10: 1-64782-624-1 / 1647826241
• ISBN-13: 978-1-64782-624-6 / 9781647826246