Big Data og Smart City. Knut H. H. Johansen CEO esmart System 7. mai 2015

Transcription

1 Big Data og Smart City Knut H. H. Johansen CEO esmart System 7. mai 2015

2 2 Smart Cities Big Data & Analytics Integrated Operations

3 Smart City? No one definition for smart city > depends smartness comes from information management Smart cities are based on the principle of information and data exchange between different sectors of a city A smart city is a developing organism that takes advantage of the best contemporary technology available. 3

4 Smart City definition? Smart City as a high-tech intensive and advanced city that connects people, information and city elements using new technologies in order to create sustainable greener city, competitive and innovative commerce and an increase life quality with a straightforward administration and maintenance system of city (Barcelona City Hall,2011) 4

5 By 2016, over 80% of smart city projects will not qualify as smart city projects because they will address only one city domain -Gartner 5

6 What Drives Smart Cities? To overcome challenges associated with urbanization managing urban areas has become one of the most important development challenges of the 21stcentury. John Wilmoth A need for Sustainability Boosting image, Enhancing safety, New technologies bring promising solutions resources optimization and better management of infrastructure Achieve infrastructure efficiency 6

7 Digital Strategy? Maximizing digital opportunities for a smart city initiative Is a business answer to a digital question How should the city evolve to survive and thrive in an increasingly digital world A lens on business strategy Each city sets its own unique priorities A digital Strategy depends on a smart city framework adopted A pragmatic approach to a digital strategy must be considered 7

8 «From the dawn of civilization until 2003, humankind generated five exabytes of data. Now we produce five exabytes every two days and the pace is accelerating» Eric Schmidt, Executive Chairman, Google

9 Source: Joseph Sirosh Corporate Vice President Microsoft

10 Source: Joseph Sirosh Corporate Vice President Microsoft

11 Source: Joseph Sirosh Corporate Vice President Microsoft

12 Source: Joseph Sirosh Corporate Vice President Microsoft

13 Source: Joseph Sirosh Corporate Vice President Microsoft

14 The rise and rise of Big Data "By connecting intelligent machines to each other and ultimately to people, and by combining software and big data analytics, we can push the boundaries of physical and material sciences to change the way the world works." GE CEO, Jeff Immelt

15 Who use the net? IoT Kilde: Incapsula

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17 Internet of Things

18 Cloud - Azure

19 Security

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21 Paradigm Shifts Enabled by Big Data Traditional Approach Big Data Approach All available information Analyzed information All available information analyzed Analyze small subsets of data Analyze all data 21

22 Big Data?

23 What is Big Data? Volume Variety Velocity Veracity

24 Big Data application framework Underlying Process Potential Data Data Acquisition Data to Information Reality Models - Topology of distribution grid - Electricity laws - Electrical components models - Water, communication, transportation, logistics models Human Behaviors - User profiles/habits - Social Network models - Social events Policies - Public Holidays - Market Regulations Meteorology - Climate, Weather, Season - Weather Events Physical Measurements - Network topology - Geographic Maps, Google Earth - Voltages, Currents, Powers, Pressures, Locations - Sounds, Images, Videos, - Chemical Sensors, Biosensors Human Behaviours - User Interactions: viewed, purchased, searched items - Rating, Comments, Feedback - Social Events data - Hourly Consumed Energy Meteorology Measurements - Temperature, humidity, precipitation, cloud cover, - Time of Year - Weather Events: Twister, Google Internet of Thing (IoT) - New Technologies (e.g. nano) introduced new, or more reliable and cheaper sensors. - Communication technology makes data collection cheaper and reliable (Zigbee, Wifi, 4G ) - Cloud Computing: data storage and computing power are scalable and can handle much bigger data. Social Media and Mobile - Twister, Facebook, Forums, Comments on Websites, - Interactions with Mobile Phone Open Services - National Meteorology Databases - Google Search/Images/Earth - Google News Many new models are introduced recently which can help machine get information from complex signals: Activity Detection, Object Classification, Speech Recognition, Text Understanding Cloud Computing allow extracting information that must be mined by combining different data sources. (Cross linking) Some Common Models: - Recommender System - Anomaly Detection - Clustering - Information Retrieval - Classification - Regression - Deep Learning Decision Making Visualization Simulation Optimization (Stochastic)

25 Analytics

26 Analytics Business Process measure / capture control / Improve human observation Descriptive What happened? Human Big Data Diagnostic Why did it happened? Predictive What will happened? Prescriptive What should I do? Human Human Decision Support Decision Action Prescriptive What should I do? Decision Automation

27 Turning Big Data into Value IoT Big Data Real Time Analytics Visualization Volume Variety Velocity Veracity

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29 29 Integrated Operations

30 Integrated Operations IO CENTER Senter for forskningsdrevet innovasjon (SFI) Integrerte operasjoner IFE, SINTEF og NTNU (host) er forskningspartnere Finansiering fra Forskningsrådet med 195 mill. over 8 år med start i 2006

31 Smart Cities - Østfold Helse Energi Bygg Transport Beredskap Vann/avløp

32 Smart Cities Big Data Integrated Operations

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