This book looks at what exactly artificial intelligence is, how it can be classified, how it differentiates from other concepts such as machine learning, big data, blockchain, or the Internet-of-Things, and how it has evolved and might evolve over time.
This book looks at what exactly artificial intelligence is, how it can be classified, how it differentiates from other concepts such as machine learning, big data, blockchain, or the Internet-of-Things, and how it has evolved and might evolve over time.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Andreas Kaplan is Professor and Dean of ESCP Business School Paris, Sorbonne Alliance. His research focuses on decrypting the digital world, mainly artificial intelligence and social media.
Inhaltsangabe
1. Commencements: AI, business, and civilization 2. Clarifications: AI, big data, the internet-of-things, and robotics 1. What is (and is not) artificial intelligence? 2. Classifying, exemplifying, and envisioning 3. AI's past, present, and (future) perspective 3. Concerns: AI's double-edged sword in education, enterprises, and elections 1. Did higher education dig its own grave by developing AI? 2. Both blessing and curse? AI in the workplace 3. Might AI become a threat to democracy...or is it already? 4. Constructions: Preparing for the AI revolution 1. Regulation and the role of the state 2. AI literacy and ethical conduct 3. International relations and cross-cultural cooperation 5. Cases: From retailing to retelling to retaliation 1. Walmart: The retAIl giant 2. New York's Metropolitan Museum of ARTificial intelligence 3. China: The ultimate AI trAIning ground 6. Conclusions: Our fate made in machines
1. Commencements: AI, business, and civilization 2. Clarifications: AI, big data, the internet-of-things, and robotics 1. What is (and is not) artificial intelligence? 2. Classifying, exemplifying, and envisioning 3. AI's past, present, and (future) perspective 3. Concerns: AI's double-edged sword in education, enterprises, and elections 1. Did higher education dig its own grave by developing AI? 2. Both blessing and curse? AI in the workplace 3. Might AI become a threat to democracy...or is it already? 4. Constructions: Preparing for the AI revolution 1. Regulation and the role of the state 2. AI literacy and ethical conduct 3. International relations and cross-cultural cooperation 5. Cases: From retailing to retelling to retaliation 1. Walmart: The retAIl giant 2. New York's Metropolitan Museum of ARTificial intelligence 3. China: The ultimate AI trAIning ground 6. Conclusions: Our fate made in machines
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