Mark van Rijmenam

The Organisation of Tomorrow

How AI, blockchain and analytics turn your business into a data organisation

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Routledge
• Seitenzahl: 192
• Erscheinungstermin: 30. Juli 2019
• Englisch
• Abmessung: 236mm x 155mm x 15mm
• Gewicht: 431g
• ISBN-13: 9780367234713
• ISBN-10: 0367234718
• Artikelnr.: 57384310

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