Demystifying Smart Cities

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.

Autorentext
Anders Lisdorf has worked with innovative technologies for more than a decade in many different settings and industries. The last couple of years he has been responsible for developing the data services of New York City, but previously he has worked as an entrepreneur, taught at the university level and worked as a consultant.

Inhalt
Chapter 1: IntroductionChapter Goal: to set the scene for the focus of the book and create interest in the subject

• 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

• Networks
• Broadband
• WiFi
• LinkNYC

• NYC Mesh
  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
• Traditional procurement
• Sponsored
• Hackathons
• Civic technology
• Public private partnerships
• University Collaboration
  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