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Data Science in the Brabant City Region

Big Data Alliance April 7, 2017

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Datafication of the world

Large Hadron Collider Walmart

40 million events per second 40 million transactions per day

The world produces its events

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What happens in an Internet minute?

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Progress in silicon integration disrupts computing

Gordon Moore, Intel

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Compute power reaches the singularity point

singularity

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There will be 50 billion Internet Connected Devices by 2020

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World Economic Forum, The Fourth Industrial Revolution, 2016

The Always-On Society generates true Big Data

Providingconnected

Apps

Philips Value Platform Extractingmeaningful information

Connected Solutions

Enhancing the user experience

Sensing and monitoring data

Connected devices

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The vision is clear

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collect raw data

process data

cleandata set

Visualize results

explore and analyze data

provide data intensive

software services

discover and verify process

models

Data analytics processes will drive the next digitization wave

Free after Wikipedia, 2014

“World”: people, machines, organizations, processes, traffic, etc.

“Data”: transactions, events, messages, samples, images, etc.

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data

insights decisions

models

Data science competences will drive the next digitization wave

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Data science seeks to use all relevant, often complex and hybrid data to effectively tell a story that can be easily understood by non-experts

Data Science is the next big thing

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There are four disruptive elements of Big Data

Entity matching: we find hidden structures

Process mining: we can find unknown facts

Validation: we can deal with messiness

Visualization: we can show what it means

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All organizations will become data driven

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Every profession becomes a data science profession

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Health Analytics

HR Analytics

Marketing Analytics

Accounting & Finance Analytics

• Too much data, too few analysts: in 2015 there is a need of 4.4 million analysts worldwide; only 25% can be met-Gartner, 2012

• The “data scientist.” It’s a high-ranking professional with the training and curiosity to make discoveries in the world of big data - D.J. Patil and Jeff Hammerbacher, 2008

• Simply hiring expensive data scientists isn’t enough; to create real business value with data scientists, top management must learn how to manage them effectively – Sloan Management Review, fall 2014

The Data Scientist is a new breed

Thomas H. Davenport is a visiting professor at Harvard Business School and a senior adviser to Deloitte Analytics, D.J. Patil is the data scientist in residence at Greylock Partners and formerly the head of data products at LinkedIn 16

Public Private

Large scale

Small and medium scale

MelissaOn-line DataBusiness Strategist

RonWeb-data Entrepreneur

DeboraConsultant

Data Concessions

JeremyData Regulatory

Officer

Data science will create new professions

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It’s all about human capital

We need T-shaped people

Data scientist have knowledge of

•Engineering•Business and society•Entrepreneurship

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The proposition

Two universities join forces

Education on Data Science will contain seven programs offered at three locations starting September 2016

Graduate School Den Bosch

Tilburg University Eindhoven University of Technology

Joint Bachelor Data Science

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Mariënburg is a student campus

JADS is a close collaboration of 2 universities in 3 areas

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Our capability framework covers the full range of DS competences

Data Science

Research Methods

Computer ScienceData

Technologies

Data

VisualizationMathematics Statistics

= basic technical skills

= basic science skills

= entrepreneurial & innovation skills

= domain specific data science skills

Law & Legislation Ethics

Smart IndustriesFinance

Analytics

Smart

Cities

HR & Org

Analytics

Other

TiU & TU/e

Domains

(e.g Legal

Analytics)

Technology

Entrepreneurship

Corporate

EntrepreneurshipCreativity &

Innovation

Entrepreneurial

Marketing

Entrepreneurial

Finance

EthicalHuman Technology

InteractionArtificial

Intelligence

= cognitive science

Marketing &

BrandingHealth

Analytics

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The JADS master program is truly entrepreneurial

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DEIA I - 1.1 DEIA II - 1.2 DEIA III - 2.1 Master Thesis – 2.2

Data Mining Business Analytics Data Driven BPM

IP & Privacy Creative Thinking Law, Ethics & Entrepreneurship

Data Integration & Architecture Innovation Sciences Data Visualisation

Strategy & Business Models Entrepreneurial marketing Data Entrepreneurship

Venture and the Law Corporate Entrepreneurship

Signal Processing Supercrunchers

elective

Data Science Hotspot

Monastery Mariënburg

From monastery to graduate school

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Mariënburg main facilities are multi-functional

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Mariënburg is a student campus

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Mariënburg will be a great place to be

We will create a vivid and

intimate international student

community in Den Bosch with:

• On campus housing

• International atmosphere

• Extra curricular activities

• Networking with partners

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The total is more than the sum of the parts

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Data Innovation & Entrepreneurship

By transforming data into impactful information through analysis and visualization

We have one generic theme …

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Branding and marketing

Analyzing customer behavior and

mapping needs on business

propositions.

Productivity and maintenance

Monitoring performance remotely

and enabling long-distance control

and maintenance.

Personal care and wellbeing

Monitoring non-intrusively biomarkers and body functions and feeding back information.

Finance and insurance

Developing data driven options for

innovative financial and insurance

related business improvements.

City management and control

Enabling adaptive public space

support by urban service

management and commissioning.

… and six dedicated themes

Agro, food, and life science

Providing decision support by

correlating information from

different life-science related sources.

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Size: 1500-2000 students in various programs with 3 research centers

Novelty: educational programs are newly designed using DS design criteria

Multi-disciplinary: Mixing business and IT to drive innovation

Ambition: world class staff & students to make an impact

Ecosystem: Intense collaboration with industry in education and research

The JADS proposition is unique both in depth and breadth

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Building the ecosystem

We have great supporters

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Deloitte Consulting, 2015

The economic impact is huge

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Interest in collaboration is strong (and international)

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Survey (# = 120) amonst JADS business partners

Why did you approach JADS?

• 64% my organization is lookiong for data science talents

• 66% my organization wants to experiment with new data-driven business models

• 43% my organization wants to be a leading data intensive company

• 46% my organization wants to wants to develop data science competences

• 22 companies expressed willingness to invest in PhD students;

• Several contracts have been signed in 2016 and 2017 (CZ / BrandLoyalty / Vivat / Police / Underlined / Celonis)

Interest in collaboration is strong

The JADS Association drives the local ecosystem

1. Human Capital

2. Research & Innovation

Triple-Helix Board

5. Data Science forthe social good

4. DataSteward-ship

3. Entrepre-neurship & NBD

Mariënburg JADS Association Office

Valorisatieteam Mariënburg

Valorisatieteam TU/e + Inn. Lab

Valorisatieteam Tilburg University

JADSA contains five chambers

Coder Dojo at JADS stimulates children

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JADS Marienburg, March 22, 2017

Efficient safety norms against flooding reduce costs

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New norms are stated in the Dutch law

Reduction of 7.8 billion euro in national budget

Legend

1/500

1/1.250

1/2.000

1/4.000

1/10.000

1/40.000

1/100.000

Efficient normsExisting norms

• Find new norms such that investment costs and expected damage costs are minimal

• Approach: (Historical) data, Predictive and prescriptive analytics

Disruptive food chains improve supply

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• Change from the traditional fixed commodity food basket of WFP to a nutrient based, flexible food basket

• We could show that there are food baskets possible of:- 96.0% nutritional value at 74% of the cost

• The first option is chosen by WFP in Syria for 2016 and therefore, with the same budget, we can feed 1 Million people more than the 4 Million in 2015!

Hackatons apply Data Science for Social Innovation

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We are realizing a contemporary fairytale

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Thanks for your attention