Presented By:

SHARIF MOHAMMADRASHED

‘Big Data’ is similar to ‘small data’, but bigger

…but having data bigger it requires different approaches: Techniques, tools and architecture

…with an aim to solve new problems …or old problems in a better way

Volume

•Data quantity

Velocity

•Data Speed

Variety

•Data Types

Veracity

•Messiness

Key enablers of appearance and growth of Big Data are

– Increase of storage capacities

– Increase of processing power

– Availability of data

– Every day we create 2.5 quintillion bytes of data; 90% of the data in the world today has been created in the last two years alone

Examining large amount of data

Appropriate information

Identification of hidden patterns, unknown correlations

Competitive advantage

Better business decisions: strategic and operational

Effective marketing, customer satisfaction, increased revenue

Applications for Big Data Analytics

Homeland Security

Finance Smarter HealthcareMulti-channel

sales

Telecom

Manufacturing

Traffic Control

Trading Analytics Fraud and Risk

Log Analysis

Search Quality

Retail: Churn, NBO

LOGO

Internet of Things

What’s the Internet of Things

Definition

(1) The Internet of Things, also called The Internet of

Objects, refers to a wireless network between objects.

(2) The term "Internet of Things" has come to describe anumber of technologies and research disciplines.

Characteristics

Event Driven

Ambient Intelligence Flexible

Structure

Semantic Sharing

Complex Access Technologies

Internet of Things

Why Internet of Things

Dynamic control of industry and daily life

Improve the resource utilization ratio

Flexible configuration.

Universal transport & internetworking

The application of IoT

Scenario: shopping

(2) When shopping in the market,

the goods will introduce themselves.

(1) When entering the doors, scanners

will identify the tags on her clothing.

(4) When paying for the goods, the

microchip of the credit card will

communicate with checkout reader.

(3) When moving the goods, the reader

will tell the staff to put a new one.

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What Is Data Mining?

Data mining: discovering interesting patterns from large amounts of data.

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Steps of Data Mining

Data integration

Data selection

Data cleaning

Data transformation

Data mining

Pattern evaluation

Knowledge presentation

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Application of Data Mining

Industry

Finance

Insurance

Telecommunication

Transport

Consumer goods

Scientific Research

Utilities

Application

Credit Card Analysis

Claims,Fraud Analysis

Call record analysis

Logistics management

Promotion analysis

Image, Video, Speech

Power usage analysis

A developed urban area that create sustainableeconomic development & high quality of life byexcelling in multiple key areas; Economic,mobility,environment,people,living & Gov. excelling inthese key areas can be done so through strong humancapital, social capital and/or ICT infrastructure.

Features

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Smart parking

Intelligent transport system

Tele-care

Traffic management

Smart grids

Smart urban lighting

Waste management

Smart city maintenance

Smart taxi

Digital-signage.

Top 10 Smart City

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o Vienna

o Toronto

o Paris

o New York

o London

o Tokyo

o Berlin

o Copenhagen

o Hong Kong

o Barcelona

Challenges

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• Small portion of ICT in new city development

• Technology changes too fast

• Too many stakeholders

In terms of infrastructure

In term of transport system

Entertainment & Education Facility

Energy efficiency & Reducing water conservation