The Age of Data Driven Science and Engineering

© 2015 PersontyleLtd.
The Age of Data Driven
Science and Engineering
Ali Syed
Persontyle Data Science Centre of Excellence
Founder and Chief Data Scientist
ali.syed@persontyle.com
CoSy Seminar – 13 Oct 2015
Center for Interdisciplinary Mathematics
Uppsala University

Next 50mins….

Together we will explore…
what's happening to the world we live in,
what is all this fuss about the digital world and datafication,
why we all need to rethink and reimagine how we define and perceive academic
disciplines,
emergence of data driven sciences and engineering,
explore why talent is the most important ingredient,
how EDSA is addressing the skills shortage and mass-scale upskilling challenge.

My
Safe
Harbour
Statement!

"Any sufficiently advanced
technology is indistinguishable
from magic.“
Arthur C. Clarke

It seems unbelievable at first.

Amazing view of
Manhattan, New York,
in 1944.

Disney Research has developed the technology for
augmented reality coloring books...

DIGITIZATION
9 Billion
Internet Devices
in 2012
50 Billion
By 2020
DATA
90%
Created within
Last Two Years
50X Growth
By 2020
MOBILITY
6 Billion
Mobile
Subscribers
87%
of World’s
Population
Mobile Data
Growing 78%
CAGR
CLOUD
90%
of new software
delivery for
Public Cloud
Public IT cloud
services will
grow to $107B
in 2017
This changes the way the world works…

A continuously
transforming wold.

Experience the digitization…

THE SECOND MACHINE AGE WILL HAVE
GREATER IMPACT THAN EVEN THE
FIRST INDUSTRIAL REVOLUTION.
A n d r e w M c A f e e a n d E r i k B r y n j o l f s s o n

“The AIs are going to take our jobs!
No. They are going to transform us
and our society.”
Tim O'Reilly
Founder and CEO, O'Reilly

All actions, interactions and behaviours both of humans
and machines are stored and transmitted across
networks to keep the engines of the digital age running.

Explosion of the data…

The amount and complexity of data produced in
science, business, and everyday human activity are
increasing at staggering rates.

e.g. supply chain data landscape

Source: Mamatha Upadhyaya, Capgemini

Industry analysts, consultants, pundits and gurus urging the
“data-naïve” to wise up to the potential of “Big Data”.

“Big data is here to stay, as it should be. But
let’s be realistic: It’s an important resource
for anyone analysing data, not a silver
bullet.”
GARY MARCUS & ERNEST DAVIS

Data science
is an emerging and multidisciplinary way of applying our
curiosity, intuition and scientific methods to create value from
data that solves our most difficult problems.

Data scienceis not just a rebranding of statistics or machine learning
but rather a field unto itself.
Doing Data Science
Rachel Schutt and Cathy O'Neill.

Data science“Taking a hunch you have about the world and pursuing it in a
structural, mathematical way to understand something new
about the world.”
Hilary Mason

STATISTICS
MACHINE LEARNING
SOFTWARE ENGINEERING
DOMAIN EXPERTISE
DATABASE DESIGN
& DEVELOPMENT
MATHEMATICS

DATA SCIENCE
STATISTICS
MACHINE LEARNING
SOFTWARE ENGINEERING
DOMAIN EXPERTISE
DATA ENGINEERING
MATHEMATICS

SOCIOLOGY
PSYCHOLOGY
ORGANIZATION
BEHAVIOUR
HUMAN COMPUTER
INTERACTION
PROGRAMMING
STRATEGY &
PERFORMANCE
MANAGEMENT

GAMIFICATION
SOCIOLOGY
PSYCHOLOGY
ORGANIZATION
BEHAVIOUR
HUMAN COMPUTER
INTERACTION
PROGRAMMING
STRATEGY & PERFORMANCE
MANAGEMENT

FUTURE
????
I DON’T KNOW
I DON’T KNOW
I DON’T KNOW
I DON’T KNOW
I DON’T KNOW
I DON’T KNOW

“Our age reveres the specialist but humans
are natural polymaths, at our best when
we turn our minds to many things”
Robert Twigger

https://xkcd.com/755/
Unusual collaborations can often lead to….

“‘Data Scientist’ is a Data Analyst who lives in California”
"A data scientist is someone who is better at statistics than any software engineer and
better at software engineering than any statistician."
“A data scientist is a business analyst who lives in New York.”
"A data scientist is a statistician who lives in San Francisco."
"Data Science is statistics on a Mac."
Data science an uninspiring ho-hum?

One of the difficult aspects of
cultivating an data driven culture is
that there is a lot of noise on the
topic.

Many organizations
believe in the power
and potential of data
science but are
challenged in
establishing a
sustainable data
science capability.

Source: Balázs Kégl
https://medium.com/@balazskegl/the-data-science-ecosystem-678459ba6013

“Distinguishing the signal from the noise requires both scientific knowledge
and self-knowledge: the serenity to accept the things we cannot predict,
the courage to predict the things we can, and the wisdom to know the
difference.”
Nate Silver

Lot of tools for managing and
reproducing complex data projects.

Typical Data Science Process
Define Objective
Extract and
Analyze data
Pre-processing
Feature and
Target
construction
Feature selection
Model training
Model scoring
Evaluation
Train/ Test split

Data Science is all about
building teams and culture.

“Data by itself is meaningless.
It’s the skill of the data scientist that makes the difference.”
Dr. Josh Sullivan
Demand for analytics skills outstrips supply in all sectors.
“A lot more data than qualified talent.
Finding talent in big data is very difficult. Retaining talent in big
data is even harder. “
Dr. Usama Fayyad
“There is a storm approaching on the Big Data talent front”
Tom Davenport

A growing divide between those that realise the potential of that data,
and those with the technical skills to process, analyse and predict from it.
It is also estimated that there will be a 160% increase in demand for Big
Data specialists between 2013-2020 to 346,000 new jobs.
Big Data has the potential to directly contribute €206 billion to the EU
economy by 2020.
over the past 5 years the demand for Big Data staff in the UK alone had
risen tenfold and currently 77% of Big Data roles are hard to fill.

Unfortunately the space
is filled with a lot of
charlatans masquerading
as experts.

This project has received funding from the
European Union's Horizon 2020
research and innovation programme
under grant agreement No 643937
www.edsa-project.eu

ENABLING DATA DRIVEN DIGITAL EUROPE
Data is at the centre of the future knowledge economy and society

“NOT EVERYONE NEEDS TO BE A DATA SCIENTIST,
BUT NEARLY EVERYONE WILL NEED TO LEARN
TO UTILIZE THE DATA TO MAKE
MORE DATA-DRIVEN DECISIONS.”
Dr. Jeffrey Camm
UC Center for Business Analytic
University of Cincinnati

A well-balanced European consortium containing 9 partners from 6
European countries (UK, Germany, Sweden, Slovenia, The Netherlands
and France).
Partners represent Universities (OU, KTH, SOUTHAMPTON, TU/e),
Research institutions (FRAUNHOFER, JSI)
SMEs (ODI, IDEXLAB SAS, Persontyle)
The EDSA consortium
www.edsa-project.eu

European Data Science Academy (EDSA) will establish a virtuous learning
production cycle for Data Science, and will:
1. Analyse the sector specific skillsets for data analysts across
Europe’s main industrial sectors;
2. Develop modular and adaptable curricula to meet these Data
Science needs; and
3. Deliver training supported by multiplatform and multilingual
learning resources based on these curricula.

Initial Version of
Module
Final Module:
eBook & Course
Webinar –
Final Recording
Webinar –
First Recording
Collection of
Module Materials Slides – First Version
Slides – Final Version
Stakeholder Communities
Industrial Advisory Board
Demand Analysis
Reflection
Module Dissemination
Online & F2F
LearningAnalytics
Curricula
EDSA Analytics
Dashboard
Reconfiguring
& Repurposing
Learners
Learning Delivery
EDSA Design and Delivery Approach

EDSA Initial Curriculum
Source: http://www.exploringdatascience.com/

Delivery Channels - Rich Interactive OERs

Delivery Channels - VideoLectures.NET
Content
Events : 950
Authors: 13, 000
Lectures: 17, 600
Videos: 20, 000
Organisations: 7000
Categories : 600
Comments: 8500
Website
Video views: 6.5 million
Page views: 29 million
Signed in users: 25, 000
Average time: 36 min
Attachments: 620, 000
Files: 1,5 million
8 servers
New Visitor: 60.83%
Licenses: Creative
Commons
Users
Top countries: United
States, India, Slovenia, UK,
Germany, China, Canada
Tutorials: 350
Keynote: 800
Interviews:250

Delivery Channels - iTunes U

Mooc Illustration: Adam Simpson
Delivery Channels - MOOCs

Help to shape
the future of
data science
training in
Europe.

We need your data.
Help us provide the EU data science community with relevant information
about the field from the inside. The more voices we can incorporate into this
project, the more detail we can provide, detecting patterns and separating
noise from the signals and vice versa.
Please take 10-15 minutes to fill out the demand survey.
TAKE THE SURVEY

"LISTENING TO THE DATA - DOING EXPERIMENTS,
ANALYZING THE RESULTS, DIGGING DEEPER, FOLLOWING UP
ON SURPRISES - IS THE PATH TO SUCCESS."
PROF. PEDRO DOMINGOS

ALI SYED
@aaalee
EMAIL
ali.syed@persontyle.com
JOIN THE CONVERSATION:
@persontyle
@schooltds
WWW.PERSONTYLE.COM

The Age of Data Driven Science and Engineering

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