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Index
Praise for The Intelligence Revolution The Intelligence Revolution Contents About the author The intelligence revolution 01 The transformative impact of the intelligence revolution The evolution of tuna fishing Introducing the intelligence revolution What is AI and why is it so transformative? About this book 01 Endnotes 02 How we got to the intelligence revolution Defining artificial intelligence Nine ways machines are already more human than you might think What all this means in practice – two case studies So how did we get here? 02 Endnotes Artificial intelligence in business 03 Artificial intelligence in business Which area should you look at first? Creating more intelligent products Delivering more intelligent services Making business processes more intelligent 03 Endnotes 04 Using AI to make more intelligent products Why the rise of smart products matters to your business Smart products in the home Smart products for mobility and transport Smart products for industry and manufacturing Smart products for sports and exercise Smart products for the health sector 04 Endnotes 05 Using AI to provide more intelligent services Why your services need to get smarter Taking a leaf out of the tech world’s book Other intelligent services in action 05 Endnotes 06 Using AI to improve your business operations and processes Why apply AI to your business operations and processes? Starting with robotic process automation Real-world examples of AI-enhanced business functions 06 Endnotes Getting ready for the intelligence revolution 07 Finding the AI opportunities in your business Forget the technology, AI starts with strategy Pinpointing the AI opportunities in your business Learning from other businesses that have been on this AI journey Transitioning to an AI business – will it change your entire business model? 07 Endnotes 08 Addressing people and culture needs How the world of work will change Building the right technical skills Building the right soft skills Building an AI culture in your organization 08 Endnotes 09 The need for ethics, trust and transparency The dangerous side of AI: how AI can be misused The days of trampling over individual privacy and being less than transparent are over The ‘black box’ problem: or, how we don’t really understand how AI works Avoiding biased AI Problems around AI security and hacking Facing up to the climate impact of AI The ethical human–robot relationship Putting it all into practice: using AI ethically in your business 09 Endnotes 10 AI needs data (lots of data) Revisiting the incredible growth in data What type and how much data do you need? How to find the right data Getting your data fit for use 10 Endnotes 11 The need for a technology overhaul Linking technology needs to the four layers of AI and data Taking into account your industry-specific needs A (brief) look at hardware requirements for AI Tapping into AI-as-a-service 11 Endnotes 12 Leadership challenges in the intelligence revolution It’s your role to approach AI strategically Leading people through the changes What do the successful leaders of the future look like? 13 A look ahead Is AI the biggest opportunity we’ve ever had? AI as a force for good Some big changes will be needed Staying in touch 13 Endnotes Templates DX Index
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