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The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions.
The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions.
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Autorenporträt
Dr Mark van Rijmenam is Founder of Datafloq and Imagjn. He is a highly sought-after international speaker, a big data, blockchain and AI strategist and author of three management books.
Inhaltsangabe
Acknowledgements Chapter 1: Welcome to exponential times 1.1 The importance of data 1.2 The downside of data 1.3 The changing face of collaboration 1.4 Conclusion Chapter 2: How technology changes organisations 2.1 The concept of sociomateriality 2.2 The concept of technology in organisations 2.3 The introduction of the artificial 2.4 Towards a tripartite analysis of sociomateriality 2.5 Conclusion Chapter 3: Big data analytics to understand the context 3.1 Datafying your business 3.2 From data to information to wisdom 3.3 Analytics use cases 3.4 Sensing, seizing and transforming 3.5 Empowerment and open strategizing 3.5.1 Security analytics 3.5.2 The Chief Information Security Officer 3.5 Security and privacy 3.6 Conclusion Chapter 4: Blockchain to distribute the organisation 4.1 Introduction 4.2 What is blockchain 4.2.1 Cryptographic primitives 4.2.2 The consensus mechanism 4.2.3 Transactions 4.2.4 Smart contracts 4.2.5 The decentralised ecosystem 4.2.6 Changing organisation design 4.3 Cryptocurrencies and tokenomics 4.4 Blockchain and privacy regulation 4.5 Trustless transactions 4.6 Blockchain and reputation 4.7 How blockchain changes collaboration across industries 4.7.1 The financial services industry 4.7.2 The retail industry 4.7.3 The telecom industry 4.7.4 The manufacturing industry 4.7.5 The content industry 4.8 Conclusion Chapter 5: The convergence of big data analytics and blockchain 5.1 Data sharing 5.2 Data governance 5.3 Data security 5.3.1 Data confidentiality 5.3.2 Data integrity 5.3.3 Data availability 5.4 Data privacy and identity 5.5 Data ownership 5.6 Conclusion Chapter 6: Artificial intelligence to automate the organisation 6.1 The algorithmic organisation 6.2 Conversational AI 6.3 The dangers of AI 6.3.1 Explainable AI 6.3.2 Incorporating AI ethics 6.3.3 Control methods and the principal-agent problem 6.4 Conclusion Chapter 7: Turning your organisation into a data organisation 7.1 Datafy 7.2 Distribute 7.3 Analyse 7.4 Automate 7.5 A note on privacy 7.6 Conclusion Epilogue: Towards data-driven globalisation Glossary of Terms References Index
Acknowledgements; Chapter 1: Welcome to exponential times; 1.1 The importance of data; 1.2 The downside of data; 1.3 The changing face of collaboration; 1.4 Conclusion; Chapter 2: How technology changes organisations; 2.1 The concept of sociomateriality; 2.2 The concept of technology in organisations; 2.3 The introduction of the artificial; 2.4 Towards a tripartite analysis of sociomateriality; 2.5 Conclusion; Chapter 3: Big data analytics to understand the context; 3.1 Datafying your business; 3.2 From data to information to wisdom; 3.3 Analytics use cases; 3.4 Sensing, seizing and transforming; 3.5 Empowerment and open strategizing; 3.5.1 Security analytics; 3.5.2 The Chief Information Security Officer; 3.5 Security and privacy; 3.6 Conclusion; Chapter 4: Blockchain to distribute the organisation; 4.1 Introduction; 4.2 What is blockchain; 4.2.1 Cryptographic primitives; 4.2.2 The consensus mechanism; 4.2.3 Transactions; 4.2.4 Smart contracts; 4.2.5 The decentralised ecosystem; 4.2.6 Changing organisation design; 4.3 Cryptocurrencies and tokenomics; 4.4 Blockchain and privacy regulation; 4.5 Trustless transactions; 4.6 Blockchain and reputation; 4.7 How blockchain changes collaboration across industries; 4.7.1 The financial services industry; 4.7.2 The retail industry; 4.7.3 The telecom industry; 4.7.4 The manufacturing industry; 4.7.5 The content industry; 4.8 Conclusion; Chapter 5: The convergence of big data analytics and blockchain; 5.1 Data sharing; 5.2 Data governance; 5.3 Data security; 5.3.1 Data confidentiality; 5.3.2 Data integrity; 5.3.3 Data availability; 5.4 Data privacy and identity; 5.5 Data ownership; 5.6 Conclusion; Chapter 6: Artificial intelligence to automate the organisation; 6.1 The algorithmic organisation; 6.2 Conversational AI; 6.3 The dangers of AI; 6.3.1 Explainable AI; 6.3.2 Incorporating AI ethics; 6.3.3 Control methods and the principal-agent problem; 6.4 Conclusion; Chapter 7: Turning your organisation into a data organisation; 7.1 Datafy; 7.2 Distribute; 7.3 Analyse; 7.4 Automate; 7.5 A note on privacy; 7.6 Conclusion; Epilogue: Towards data-driven globalisation; Glossary of Terms; References; Index
Acknowledgements Chapter 1: Welcome to exponential times 1.1 The importance of data 1.2 The downside of data 1.3 The changing face of collaboration 1.4 Conclusion Chapter 2: How technology changes organisations 2.1 The concept of sociomateriality 2.2 The concept of technology in organisations 2.3 The introduction of the artificial 2.4 Towards a tripartite analysis of sociomateriality 2.5 Conclusion Chapter 3: Big data analytics to understand the context 3.1 Datafying your business 3.2 From data to information to wisdom 3.3 Analytics use cases 3.4 Sensing, seizing and transforming 3.5 Empowerment and open strategizing 3.5.1 Security analytics 3.5.2 The Chief Information Security Officer 3.5 Security and privacy 3.6 Conclusion Chapter 4: Blockchain to distribute the organisation 4.1 Introduction 4.2 What is blockchain 4.2.1 Cryptographic primitives 4.2.2 The consensus mechanism 4.2.3 Transactions 4.2.4 Smart contracts 4.2.5 The decentralised ecosystem 4.2.6 Changing organisation design 4.3 Cryptocurrencies and tokenomics 4.4 Blockchain and privacy regulation 4.5 Trustless transactions 4.6 Blockchain and reputation 4.7 How blockchain changes collaboration across industries 4.7.1 The financial services industry 4.7.2 The retail industry 4.7.3 The telecom industry 4.7.4 The manufacturing industry 4.7.5 The content industry 4.8 Conclusion Chapter 5: The convergence of big data analytics and blockchain 5.1 Data sharing 5.2 Data governance 5.3 Data security 5.3.1 Data confidentiality 5.3.2 Data integrity 5.3.3 Data availability 5.4 Data privacy and identity 5.5 Data ownership 5.6 Conclusion Chapter 6: Artificial intelligence to automate the organisation 6.1 The algorithmic organisation 6.2 Conversational AI 6.3 The dangers of AI 6.3.1 Explainable AI 6.3.2 Incorporating AI ethics 6.3.3 Control methods and the principal-agent problem 6.4 Conclusion Chapter 7: Turning your organisation into a data organisation 7.1 Datafy 7.2 Distribute 7.3 Analyse 7.4 Automate 7.5 A note on privacy 7.6 Conclusion Epilogue: Towards data-driven globalisation Glossary of Terms References Index
Acknowledgements; Chapter 1: Welcome to exponential times; 1.1 The importance of data; 1.2 The downside of data; 1.3 The changing face of collaboration; 1.4 Conclusion; Chapter 2: How technology changes organisations; 2.1 The concept of sociomateriality; 2.2 The concept of technology in organisations; 2.3 The introduction of the artificial; 2.4 Towards a tripartite analysis of sociomateriality; 2.5 Conclusion; Chapter 3: Big data analytics to understand the context; 3.1 Datafying your business; 3.2 From data to information to wisdom; 3.3 Analytics use cases; 3.4 Sensing, seizing and transforming; 3.5 Empowerment and open strategizing; 3.5.1 Security analytics; 3.5.2 The Chief Information Security Officer; 3.5 Security and privacy; 3.6 Conclusion; Chapter 4: Blockchain to distribute the organisation; 4.1 Introduction; 4.2 What is blockchain; 4.2.1 Cryptographic primitives; 4.2.2 The consensus mechanism; 4.2.3 Transactions; 4.2.4 Smart contracts; 4.2.5 The decentralised ecosystem; 4.2.6 Changing organisation design; 4.3 Cryptocurrencies and tokenomics; 4.4 Blockchain and privacy regulation; 4.5 Trustless transactions; 4.6 Blockchain and reputation; 4.7 How blockchain changes collaboration across industries; 4.7.1 The financial services industry; 4.7.2 The retail industry; 4.7.3 The telecom industry; 4.7.4 The manufacturing industry; 4.7.5 The content industry; 4.8 Conclusion; Chapter 5: The convergence of big data analytics and blockchain; 5.1 Data sharing; 5.2 Data governance; 5.3 Data security; 5.3.1 Data confidentiality; 5.3.2 Data integrity; 5.3.3 Data availability; 5.4 Data privacy and identity; 5.5 Data ownership; 5.6 Conclusion; Chapter 6: Artificial intelligence to automate the organisation; 6.1 The algorithmic organisation; 6.2 Conversational AI; 6.3 The dangers of AI; 6.3.1 Explainable AI; 6.3.2 Incorporating AI ethics; 6.3.3 Control methods and the principal-agent problem; 6.4 Conclusion; Chapter 7: Turning your organisation into a data organisation; 7.1 Datafy; 7.2 Distribute; 7.3 Analyse; 7.4 Automate; 7.5 A note on privacy; 7.6 Conclusion; Epilogue: Towards data-driven globalisation; Glossary of Terms; References; Index
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