By 2027, Gartner projects that 50% of all business decisions will be augmented or automated by AI agents — yet most organizations remain structurally unprepared to govern the human-AI decision-making partnership this shift demands. Co-intelligence, the framework articulated by Wharton's Ethan Mollick, reframes this challenge not as a question of AI adoption, but as a discipline of human-AI collaboration — one that requires organizations to develop new norms of trust, accountability, and complementary intelligence to function effectively. The era of the solitary executive decision has not ended; it has expanded into something far more structurally complex and potentially far more powerful. This book examines how organizations can build co-intelligence architectures — the systems, roles, and behavioral frameworks that enable humans and AI to make better decisions together than either could make independently. Drawing on Mollick's four rules of co-intelligence, Tom Davenport's classification of structured, semi-structured, and unstructured AI-assisted decisions, and the Brookings Institution's research on collective AI-augmented intelligence, it maps the specific conditions under which human judgment and AI analytical depth combine to generate superior strategic, operational, and adaptive decision outcomes. Being the human in the loop is not a passive role — it is the most strategically critical position in any AI-enhanced decision system.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -By 2027, Gartner projects that 50% of all business decisions will be augmented or automated by AI agents - yet most organizations remain structurally unprepared to govern the human-AI decision-making partnership this shift demands. Co-intelligence, the framework articulated by Wharton's Ethan Mollick, reframes this challenge not as a question of AI adoption, but as a discipline of human-AI collaboration - one that requires organizations to develop new norms of trust, accountability, and complementary intelligence to function effectively. The era of the solitary executive decision has not ended; it has expanded into something far more structurally complex and potentially far more powerful.This book examines how organizations can build co-intelligence architectures - the systems, roles, and behavioral frameworks that enable humans and AI to make better decisions together than either could make independently. Drawing on Mollick's four rules of co-intelligence, Tom Davenport's classification of structured, semi-structured, and unstructured AI-assisted decisions, and the Brookings Institution's research on collective AI-augmented intelligence, it maps the specific conditions under which human judgment and AI analytical depth combine to generate superior strategic, operational, and adaptive decision outcomes. Being the human in the loop is not a passive role - it is the most strategically critical position in any AI-enhanced decision system. 140 pp. Englisch. N° de réf. du vendeur 9783565399680
Quantité disponible : 2 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - By 2027, Gartner projects that 50% of all business decisions will be augmented or automated by AI agents - yet most organizations remain structurally unprepared to govern the human-AI decision-making partnership this shift demands. Co-intelligence, the framework articulated by Wharton's Ethan Mollick, reframes this challenge not as a question of AI adoption, but as a discipline of human-AI collaboration - one that requires organizations to develop new norms of trust, accountability, and complementary intelligence to function effectively. The era of the solitary executive decision has not ended; it has expanded into something far more structurally complex and potentially far more powerful.This book examines how organizations can build co-intelligence architectures - the systems, roles, and behavioral frameworks that enable humans and AI to make better decisions together than either could make independently. Drawing on Mollick's four rules of co-intelligence, Tom Davenport's classification of structured, semi-structured, and unstructured AI-assisted decisions, and the Brookings Institution's research on collective AI-augmented intelligence, it maps the specific conditions under which human judgment and AI analytical depth combine to generate superior strategic, operational, and adaptive decision outcomes. Being the human in the loop is not a passive role - it is the most strategically critical position in any AI-enhanced decision system. N° de réf. du vendeur 9783565399680
Quantité disponible : 2 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Decisions at the Frontier | Enhancing Organizational Decision Making with Co-Intelligence | Dahlia Ives | Taschenbuch | Englisch | epubli | EAN 9783565399680 | Verantwortliche Person für die EU: Neopubli GmbH (Imprint: epubli), Köpenicker Str. 154a, 10997 Berlin, produktsicherheit[at]epubli[dot]com | Anbieter: preigu. N° de réf. du vendeur 135081570
Quantité disponible : 5 disponible(s)