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