Demystifying Smart Cities
Practical Perspectives on How Cities Can Leverage the Potential of New TechnologiesPaperback Engels 2019
The concept of Smart Cities is accurately regarded as a potentially transformative power all over the world. Bustling metropolises infused with the right combination of the Internet of Things, artificial intelligence, big data, and blockchain promise to improve both our daily lives and larger structural operations at a city government level. The practical realities pose challenges that a significant sector of the tech industry now revolves around solving.
Cut through the hype with 'Demystifying Smart Cities'.
In this book, the real-world implementations of successful Smart City technology in places like New York, Amsterdam, Copenhagen, and more are analyzed, and insights are gained from recorded attempts in similar urban centers that have not reached their full Smart City potential. From the logistical complications of securing thousands of devices to collect millions of pieces of data daily, to the complicated governmental processes that are required to install Smart City tech, Demystifying Smart Cities covers every aspect of this revolutionary modern technology.
This book is the essential guide for anybody who touches a step of the Smart City process—from salespeople representing product vendors to city government officials to data scientists—and provides a more well-rounded understanding of the full positive and negative impacts of Smart City technology deployment. Demystifying Smart Cities evaluates how our cities can behave in a more intelligent way, and how producing novel solutions can pose equally novel challenges. The future of the metropolis is here, and the expert knowledge in the book is your greatest asset.
What You'll Learn
- Practical issues and challenges of managing thousands and millions of IoT devices in a city
- The different types of city data and how to manage and secure it
- The possibilities of utilizing AI into a city (and how it differs from working with the private sector)
- Examples of how to make cities smarter with technology
Who This Book Is For
Primarily for those already familiar with the hype of smart city technologies but not the details of its implementation, along with technologists interested in learning how city government works when integrating technology. Also, people working for smart city vendors, especially sales people and product managers who need to understand their target market.
Geef uw waardering
-The history and future of cities
-The smart city landscape
Part 1: Understanding smart citiesThe purpose of part 1 is to describe the basics of smart cities
Chapter 2: ConnectivityChapter Goal: describing the different ways in which the city technologies can be connected and illustrate with real world examples
Chapter 3: DevicesChapter Goal: Define what is meant by devices and IoT and give examples of the practical issues and challenges managing thousands and millions of devices in a city
-What is a device?
-Managing a device – the power of platforms
-Protecting a device – IoT Security
-Developing device standards – an interagency effort
Chapter 4: DataChapter Goal: Making clear the different types of city data and how they need to be managed and secured
-Different kinds of data Sharing data Retention of data
-The data explosion
Chapter 5: IntelligenceChapter Goal: Putting the possibilities of Artificial Intelligence into a city context to explain key differences with application in private companies
-Algorithmic transparency - the drive is toward transparency not the efficiency of AI.
-Legislation about AI.
-Political accountability - even if it is AI politicians will be accountable and understanding for AI is low
-AI in real life - how different types of AI will play out in a city context
-Ethics and AI - who decides the ethics?
Chapter 6: Engagement
-In house development
-Public private partnerships
Part 2: Towards smarter citiesThe purpose of Part 2 is to be more prescriptive and offers a series of essays related to how to make cities smarter Chapter 7: “Architect with imagination” - could payphones show the way in an emergency
Chapter 8: “Make innovation a habit” - why most innovation is like low fat yoghurt”
Chapter 9: “Build the data refinery” – because cities run on data
Chapter 10: “Optimize data value not just data quality” – how to avoid another Mars Climate Orbiter disaster
Chapter 11: “Employ pragmatic idealism”, bridging the ivory tower and the trenches
Chapter 12: Conclusion
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