cloud computing & big data for service innovation & learning

Cloud Computing & Big Data for Service

Innovation & Learning

Professor Eric Tsui

Knowledge Management & Innovation Research Centre

The Hong Kong Polytechnic University

Services as % of GDP in OECD countries

• Co-creation of value

• Dynamic Capabilities

• Enabling Vs Disruptive

• Open Business Models

• Customer Experience

=> Efficiency, Integration & Transformation

Some key concepts in Service Innovation

Professor Ian Miles, MBS

Professor Eng Chew, UTS

Customers to co-design in a process –

DELL Computers & Taggerbags

Definition of Cloud Computing

1. On-demand & self-service

2. Broad network access

3. Resource pooling (location independent)

4. Rapid elasticity

5. Agility

6. Measured service (& mostly postpay)

Characteristics of the Cloud

Fulfillment By Amazon (FBA) (Replay video at http://amazingsellingmachine.com/how-to-scale/)

SAP’s “The SUPPLY UNCHAINED Cloud”?

Microsoft’s Azure cloud helps winning the Formula 1 race?

A cloud connects

computers, data and

people at a massive

scale

A cloud connects

computers, data and

people at a massive

scale

1. Machine to Machine

2. People to Machine

3. People to People

Three types of connections in a cloud

70 billions connections & 1/3 of consumer digital content in the cloud by 2020 & 2016 respectively

In July 2012, there were 955m users in Facebook

In 2012, about 2.5 exabytes are

created every day and is

expected to double every 40

months. An exabyte is 10,000

times of a petabyte (approx 20

million filing cabinets)

The Knowledge Cloud

Think Outside The Box

The Cloud as some massively scaleable

backend resources with low upfront costs

Intelligent Knowledge Centre with massive data,

problem solving skills (processors & humans), & dynamic computational

power

The Cloud is Disruptive

Human-machine cooperative problem solving

• Polymath

o Online discussions about mathematical problems

• GenBank

o World’s online repository of genetic data

• GalaxyZoo

o 200,000 online volunteers to help astronomers classify galaxy images

Harnessing Wisdom of the Crowd

Any spiral? Which direction?

Amazon Mechanical Turk

Recaptcha (Human-assisted inexact matching)

Replay Webinar at http://webvideo.polyu.edu.hk/p99237461/

CDC detection of an epidemic outbreak

Airline ticket prices

Orange car is least defective Mail to teenager promoting maternity products

Amazon's recommendation engine

Match-fixing in Sumo wrestling

Social Network Analysis for Vulnerability

UPS Fleet Maintenance

ReCaptchas

Google translation

Re-discovery of the English language

Health & Credit check (by banks & insurers)

Big Data applications & cases

• Speed of making decision more important

that causal reasoning (Knowing “WHAT”

first; knowing “WHY” later)

• Trade "exactness" for "approximate" to

support fast decision making

• To improve the performance of your

algorithm, try feeding it with lots more data

(instead of modifying the program)

Re-wiring our brain (impact of Big Data & IoT)

HKPolyUX MOOC on KM & Big Data (to be launched in Aug 2015)