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. It also asks us to consider the impacts of these Emerging Information Technologies on people and society.
Big data analytics empowers consumers and employees. This can result in an open strategy and a better understanding of the changing environment. Blockchain enables peer-to-peer collaboration and trustless interactions governed by cryptography and smart contracts. Meanwhile, artificial intelligence allows for new and different levels of intensity and involvement among human and artificial actors. With that, new modes of organising are emerging: where technology facilitates collaboration between stakeholders; and where human-to-human interactions are increasingly replaced with human-to-machine and even machine-to-machine interactions. This book offers dozens of examples of industry leaders such as Walmart, Telstra, Alibaba, Microsoft and T-Mobile, before presenting the D2 + A2 model – a new model to help organisations datafy their business, distribute their data, analyse it for insights and automate processes and customer touchpoints to be ready for the data-driven and exponentially-changing society that is upon us
This book offers governments, professional services, manufacturing, finance, retail and other industries a clear approach for how to develop products and services that are ready for the 21st century. It is a must-read for every organisation that wants to remain competitive in our fast-changing world.
|Publisher:||Taylor & Francis|
|Product dimensions:||6.25(w) x 9.25(h) x (d)|
About the Author
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.
Table of Contents
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