Keynote Speech:

“From Information Science to

Data Science to Smart Nation”

Prof. Toh Chai Keong

Assistant Chief Executive (Engineering & Technology)

Infocomm Development Authority

of Singapore Pg 1

Welcome to Singapore!!

From Info Science

To Data Science

Challenges facing us

Smart Nation

Conclusion

OUTLINE

The science of creating, handling, and processing

information???

Some say it is “application” focus rather than development

Others say it is more tied to business, IT architectures and

operations

INFORMATION SCIENCE

Course Structure

NUS INFO SCIENCE DEGREE

Digital and New Media Marketing

Mobile & Ubiquitous Commerce

E-Commerce

E-Business

Enterprise Social Systems

Technology Strategy & Management

IT and Customer Relationship Management

Mobile Apps Development

Strategic IS Planning

IT in Financial Services

SOME NUS INFO SCIENCE MODULES

SMU INFORMATION SYSTEMS

Business Process Modeling & Solution Blueprinting

Enterprise Integration & Service -Oriented Architectures

Information Security & Trust

Architectural Analysis

Enterprise Web Solutions (web portals)

Interaction Design & Prototyping

ADVANCED INFO SCIENCE TOPICS

NUS IS Research Areas SMU IS Research Areas

IS Healthcare ■ Cybersecurity

E-Commerce ■ Data Mgmt & Analytics

Social Computing ■ IS Mgmt

Service Integration ■ Intelligent Systems

Info Mgmt ■ Cyber-Physical Systems

Economics of IS

INFO SCIENCE RESEARCH AREAS

The science of computation?

If so, you would think of Alan Turner’s Turing Machine

Or you may think of all the hardware and software

technologies behind the computer!!

COMPUTER SCIENCE

IBM 5100 1975

Ed Roberts’s Altair 1975 APPLE 1 1976

WORLD WIDE WEB

CLOUD

BIG DATA

IN-MEMORY COMPUTING

DATABASES

VIRTUALIZATION

CLUSTERED COMPUTING

INTERNET OF EVERYTHING

GRID COMPUTING

etc

WORLD TECH TRENDS

More Devices Than Humans

SCARY TREND #1

Anyone

Everyone

Anything

Can

Generate

Data

Data is the new nugget (not your money)

SCARY TREND #2

SCARY TREND #3

SCARY TREND #4

SCARY TREND #5

DATA EXPLOSION: INFORMATION

TSUNAMI

DATA EXPLOSION GRAPH

From 2010 onwards

Birth = Computer (Computing) + Internet (Connectivity)

Anyone can publish information (server and client)

Data accessible anywhere everywhere

WWW: WORLD WIDE WEB

Search yields “convergence” but not necessarily “ intelligence”

Based on what is out there……..

It does not quite “ reason” or even “verify”!

WEB NEEDS SEARCH ENGINES

WHAT ABOUT DATABASES, SERVERS,

NETWORKS, VIRTUALIZATION?

MORE

STORAGE

MORE

SERVERS

GREEN

SERVERS DIVERSE

NETWORKS

VMs

DATA CENTERS ARE BORN

Data Storage

Data Organization

Data Access

Data handling

Data processing

Data Filtering

Modeling

Reasoning

Knowledge Creation

Big Picture

Insights

DATA SCIENCE IS BORN !!!!!

WHAT TO DO WITH ALL THESE DATA?

Computing Internet

Web

Data

Analytics

BIRTH OF DATA SCIENCE:

Good it brings in multiple fields in computer and info sciences

Computers

Devices

Internet

IoE

Web

Data Explosion

Data Understanding

Data Reasoning

Data Science..

WHAT FUELS THE BIRTH OF DATA

SCIENCE?

WHEN – DATA MINING

Make Sense?

Data + Junk

YOUR INNOVATION

HERE….

DATA MINING

Data Mining:

Task of discovering interesting patterns from big data..

Data Warehousing:

Data storage and memory

Data Mining Tools:

Microsoft SQL

DBMiner

Oracle Data Mining

DATA MINING & DATA WAREHOUSING

WHEN – KNOWLEDGE DISCOVERY

Knowledge = Understanding + Intelligence!!!

See big picture

Insights?

Answer to why?

WHY ANALYTICS?

WHEN ANALYTICS?

U SELL IN MASSES, U NEED ANALYTICS

Customer Feedback

Size & Wants

101001000

BYTE

PACKET

MESSAGE

INFO ELEMENT

Text

Audio

Video

Image

Etc.

ANALYTICS: DATA IS A REPRESENTATION

Text

Audio

Video

Image

Metadata

TYPES OF DATA & THEIR CHALLENGES

Social Data Sensor Data

SINGAPORE GOVERNMENT DATA

DATA.GOV.SG

Narrative

Can describe things down to each component

Too little data – back to square 1

Too much data – takes time to make sense

Too too too much data – blurred…

Giga bytes – 2^30 = 1000MBytes

Tera bytes – 2^40 bytes

Peta bytes – 2^50 bytes

Exa bytes – 2^60 bytes

Zetta Bytes – 2^70 Bytes

Yotta Bytes – 1000ZB – Too Big to Imagine

THE IRONY OF BIG DATA

When DATA is too big…

When DATA is too small…

When there is a lot of junk…

When MODEL is not good enough…

When Memory hits the limit….

When Computation hits the limit….

CHALLENGES:

SIZE VS COMPUTATION

I need a picture here

CHALLENGES: SPEED VS CONVERGENCE

VS SCALE VS ACCURACY

Technical

Challenges

Of

Big Data

Analytics

I need a picture here

CHALLENGES: WASTING CPU CYCLES

ANALYZING JUNK?

Data

Without

Meaning

Is junk…

Data privacy - anonymous (source and/or user unknown)

Data protection – accessibility

Data anomaly – odd, outlier, fake, alteration, etc….

CHALLENGES: DATA ANOMALY & DATA

PRIVACY

DATA ANALTYTICS PLATFORM

Spark: 40x faster than

Hadoop;

In-memory data storage

Shark: Ported Hive in

Spark..

ANALYTICS: PARALLELISM &

CONVERGENCE

Learn from data, make predictions on data

MACHINE LEARNING

DATA VISUALIZATION

Plenty of room for research and development….

ADVANCED ANALYTICS

“CONWAY” DEFINITION OF WHAT IS A

DATA SCIENTIST

DEMAND FOR DATA SCIENTIST SURGING

SHORTAGE OF TALENTS – IDA

CULTIVATING THEM

Big data

Cloud

Cybersecurity

Green ICT

Future Comms

Social Media

New Digital Economy

User Interface

Internet of Things

Data Science

Leads to ………………………………………………SMART NATION

IDA INFOCOMM TECH ROADMAP

SN: Improving Quality Of Life of Singaporeans

Enjoyable user experience Making meaningful choices

SMART NATION EVOLUTION…. SPATIAL DIMENSION

Quality of life/Biz Productivity

Meeting citizens’ needs

Unlimited Possibilities

Smart Nation

(Singapore)

Use of technology to create

innovative solutions for Future Smart

Home, Office & City

Smart City/Town

Anticipatory govt that is citizen

centric & co-ordinated govt service

delivery

Smart Home/Office/Buildings

- Unified smart home experiences

- Smart work solutions for greater

business opportunities

SMART NATION: KEY BUILDING BLOCKS

SMART NATION: DATA ANALYTICS

PLATFORM

COMPUTE

t

s

p

c

Data Handling, Knowledge Building, Intelligence Creation

SMART NATION:

AGEING POPULATION

Elderly Living

Health Care

URBAN DENSITY

Smart Transport

Smart Living

SMART NATION ADDRESSES THESE

CHALLENGES..

Healthcare Transformation

WHAT’S NEXT

• Personalized Medicine

• Preventive Illness

• Predictive Illness

• Implantables

• Wearables

• Smart Health

Transport Transformation

WHAT’S NEXT

• Autonomous Self Driving Vehicles

• Multi-modal Transport

Living Transformation

SMART NATION

Smart homes

- Energy mgmt

- Lighting ctl

- Temp ctl

- Noise ctl

- Mental State

Use of Sensors

Ambient Intelligence

Life style

Business Transformation (BI)

WHAT’S NEXT

Information Science should include Data Science

Data Science can enhance the l ives of Singaporeans

Through Transformation in

Transport,

Living,

Healthcare

And others.

Together , we will

make this happen.

SMART NATION: CONCLUSION

SMART NATION PLATFORM