How Will Big Data Enable the Future of Smart Cities?
Kin Puan will present the opportunities for cities to become ‘smarter’ through emerging trends and technologies such as Big Data and Internet of Things.
As the world begins to look beyond the now almost-obsolete ‘Eco’ Cities concept towards ‘Smart' Cities as the model for our sustainable urban future, more advanced information management tools and data are needed to provide for such cities' public amenities, infrastructure and all kinds of services. This is where big data comes in. By implementing monitoring and security systems to generate, process, and utilize data on cities' water, electricity, transportation, and other necessities we could perhaps lay the foundation towards more energy-efficient, climate-resilient and healthier cities.
Some questions we would be looking to answer through this forum are: What types of information or data management tools and technologies are out there? What are types of information are gleaned from these technologies? How does this relate to big data and how is this data being used to improve cities? What are the challenges to realise these technologies in our cities? Who are the key stakeholders?
Join us at Arup Shanghai, to learn about how big data is the next step for building and achieving the Smart City dream.
ABOUT THE EVENT
Tuesday 1 September 2015 | 18:30 - 21:00
1045 Huaihai Middle Road | 37F
You need to register for the event here
¥30 all registered guests
¥50 non-registered guests or those who show up at the door directly
ABOUT THE SPEAKER
Kin Puan Wong is a Senior Consultant at Arup Shanghai, responsible for developing Arup’s Smart Cities and Big Data businesses in China. He received his MSc in Operational Research from London School of Economics and a BSc in Computer Science from Warwick University. Kin Puan has a unique combination of project management, business analysis and enterprise architecture expertise to deliver complex projects integrating people, processes and technologies. He is also capable of working across the project lifecycle covering requirement analysis, solution design, technical architecture, package selection, quality assurance, testing and client training.