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Industrial internet - Capitalise your knowledge
Growth Program
Kick off 12.6.2015, Helsinki
Finpro /Export Reijo Smolander
Agenda
8:30 - 8:45 Registration, coffee and networking
8:45 - 8:50 Opening, welcome, targets for the day
8.50 – 9.00 Setting the scene - Team Finland Growth Programs (Hanna Marttinen-Deakins)
9:00 - 9:20 Capitalise Your Knowledge Growth Program (Reijo Smolander)
9.20 – 9.30 Industrial Internet, Tekes perspective (Kari Penttinen)
9.30 - 9:40 BaseN - expectations for the Growth Program (Jukka Paananen)
9.40 – 10.15 Peer discussions: Needs and Wants for the program & company collaboration
10.15– 10.30 Coffee break
10:30 – 10.50 Case Germany (Petri Katajamäki)
10:50 – 11.10 Big data evolving business, Kemppi Oy (Mika Neffling)
11.10 – 11.30 Big Data Analytics for the Industrial Internet, SAS Institute Oy (Oscar Lindqvist and Pasi Helenius)
11.30 – 12.20 Growth Program business opportunities
General Finland (Juhani Pohjus)
Germany (Lukas Wagner)
US Business leads (Hartti Suomela)
12.20 – 12.30 Next steps
12:30 - Lunch
Team Finland–Finpro–Growth Programs
Hanna Marttinen-Deakins
12.6.2015
17/06/2015 © Finpro5
Team Finland internationalisation
services
 Government-funded services that help Finnish
companies to succeed in international markets
17/06/20156
What
opportunities
are there?
http://services.team.finland.fi
17/06/20157
We will help you plan your business internationalization or
get help with practical issues
Are we ready to
go international ?
The internationalisation test can identify in basic level
company´s strengths and needs for development
 https://oma.yrityssuomi.fi/en/kansainvalistymistesti
The business infrastructure analysis is to form
an overview of your company´s needs for development
 https://oma.yrityssuomi.fi/yrityksen-kehittamiskartoitus
What to do
next ?
http://services.team.finland.fi
Team Finland
Service Plan
Pre-internationalization evaluation
Sparring business ideas
17/06/20158 http://services.team.finland.fi
How can I
finance this?
17/06/20159
With
whom?
http://services.team.finland.fi
Focus activities of Growth Programs
Strengthening Marketing and Sales competencies
Co-operation and Networking
Identifying opportunities; clients, partners, markets
Impact through Marketing and Communication
10
Increased Business
to Participating
Companies
Industrial internet value chain
- Growth Program focus
12
Services
Analyses & visualisation
Data collection & management
Sensors & equipment
Big Data
Growth Program
Capitalise your Knowledge
6/17/2015 © Finpro
Capitalise your Knowledge
- Manufacturing – expand to other sectors ?
13
Services
Analyses & visualisation
Data collection & management
Sensors & equipment
6/17/2015 © Finpro
Manufacturing Retail Transportation Smart
Infrastructure
Health
CYK
Growth
Program
MaaS
Pre
Study
E-
Commer
ce
Growth
Program
Digital
Hospital
Capitalise your Knowledge - Growth Program
- what company benefits from it?
• Quicker market & customer access
– Meeting and matching with potential customers & partners
• Customer & partner events
• Business opportunity / lead information
– Market & promote Finnish offering on target markets
• Media
• Exhibitions
• Support in finding needed financing
– Team Finland – Tekes, Finnvera, Ely etc.
– Matching with potential foreign investors – VC, technology partnering etc.
• Strengthening international business capabilities
– International business plans / modes
– Market knowledge
– Competencies
• Supporting in company cooperation
– Meet customer need / expectation
• Offering & supplier credibility
6/17/2015 © Finpro14
Capitalise your Knowledge
- Growth Program content
6/17/2015 © Finpro15
Program scope
30 – 40 companies
International plan
and business
models
Preparation
Export camp for
target market
Trade fairs,
Conferences,
Exhibitions
Minister
delegations, Fact
findings trips,
Road shows
Export camp on
target market
International
marketing, Sales,
Distribution channels
Market study for
target market
Market study for
company group’Beehive’
Cooperation
- Big deals
- Co-operation based on
customer needs &
business opportunities
- Credibility
Beehive ’in operation’
6/17/2015 © Finpro16
A
II – Customer needs exceed
the capabilities or resources
of company A
Customer
V – Collaboration of companies
A+C+E contacts the customer
according the business model,
e.g. by company A
VI – Beehive collaboration
fulfills the customer
expectations
Customer
A
E
C
IV – Predefined contracts
and business model is
used between companies
A,C and E
C
D
F
E
G
B
Customer interfaceCompany collaboration
Module Description
- Export camp on target market
Detail content adjusted to company needs,
but overall structure will be:
1. Getting to know the market
- customer / buyer / partner understanding
2. Preparing for meeting
- Sales speech sparring etc.
3. Meeting potential customer, partner, investor, media
4. Summarise meeting outcomes
- Pull together meeting learnings and next actions
Duration: 2 – 4 days for the whole module
6/17/2015 © Finpro17
First year scheduling (preliminary)
6/17/2015 © Finpro18
2015 2016
Q2 Q3 Q4 Q1 Q2
Kick off, 12.6.2015
General modules
- International plan/Bus.mod
- International sales & mark.
Beehive
- Company grouping
- Progress & experience rev.
Market entry operations
- Germany
- United Kingdom, UK
- Sweden
- Denmark
- USA
- Asia
Conferences/exhibitions
- Slush
- XX Germany
- XX UK
Program metrics and targets
Metrics 2015 2016 2017
Target Result Target Result Target Result
- Number of companies participating in the
program
35 45 60
- Number of events abroad 2/3 3/4 3/4
- Media visibility, number of media hits 5 20 40
- Growth of turnover - companies
participating in the program
5% * 10% 13%
- Increase of jobs – companies
participating
50 150 300
- Growth of export – companies
participating
5% * 12% 15%
- Increase of foreign investments – number
of investments
0 4 7
- Number of investment negotiation 5 10 10
*) Turnover and export growth measured on made contracts (first year)
Capitalise your knowledge
- in short
• Three year program helping companies to expand their
international business
–First year targets & focus
• 30-40 companies on board
• Beehive for boosting business
• Markets – Germany, UK, Sweden, Denmark
–Second and third year
• Expand on new markets, new industry
coverage, deepen Beehive cooperation
• Program participation fee
– 1500 / 3000 / 6000 Eur (company size)
• Company participates in activities based
on its needs
6/17/2015 © Finpro20
21 6/17/2015 © Finpro
Team Finland
- Where to get support beyond the program?
Product/Service/
Business model
development
Customer
development/
Piloting
Growth/Business
scaling
Internationalization
CYK program focus
TEKES
Industrial Internet
program
TEKES
Funding for
Planning for global growth
TEKES
Funding for
Piloting
OTHER PUBLIC SUPPORT TOOLS
TEKES, ELY centers, Finnvera, EU Horizon 2020 etc.
Industrial Internet
– Business Revolution
Tekes programme 2014–2019
Why Tekes programme is needed?
Tekes Industrial Internet programme
encourages Finnish companies to
renew their business models by the
means of industrial internet. It provides
services to find new cross-industry
business partners.
This creates better competitiveness,
new companies ja completely new
business models for existing ones for
international business.
Programme objectives
1. New open multidisciplinary networks and creative cooperation
between ICT and other industry clusters
”Opening the Silos”
2. Business utilisation of available and growing amount of data
”Value from meaningful data”
3. Business renewal, growth and international business by the means
of the Industrial Internet
”Business Internet”
The Industrial Internet – actors assisting enterprises and SME’s
EU’s Horizon 2020: Cyber Physical Systems, Internet of Things,
Factories of the Future
ECSEL PPP: Embedded Systems, IoT, Smart Systems, Critical Systems
EUREKA ITEA3 Software-intensive Systems & Services
Strategic research
Other Tekes
programmes:
5thGear
Bits of Health,
Liideri
Tekes
Industrial Internet
programme
Tekes
Research Funding
Hilla-program
DIGILE
IoT, D2I,
CyberTrust
ICT2023 R&D&I
programme
(Academy, Tekes)
Basic research SHOK-research Tekes programmes TEM/Finpro-programmes
Academy of
Finland
ICT2023
research calls
Strategic
Research
Council VTT
Productivity with
IoT, Business
Models for IoT
TEM/Finpro
Team Finland
Future Watch
Sitra
Resource wisdom, Business development,
Industrial symbiosis….
FIMECC
S-STEP, S4Fleet
Finnish Industrial Internet Forum, FIIF (TT ry,
VTT, FIMECC, DIGILE, Tekes + companies)
Distance from the market
Business potential
The biggest growth comes from data
analytics, applications and new services
The Industrial Internet brings companies new business
opportunities by renewing business models and services.
World Economic Forum: Industrial Internet of Things: Unleashing the Potential of Connected Products and Services
http://www3.weforum.org/docs/WEFUSA_IndustrialInternet_Report2015.pdf
Programme status
Funding decision by June 10th:
• 44 projects in companies, Tekes funding 14 meur
• 9 research projects, Tekes funding 2,2 meur
Applications in process: >30
Typical challenges in project planning:
• Time needed to find new partners
• Commitment to create new kind of service business
 International cooperation:
• ECSEL, ITEA3, CELTIC, Horison 2020
• Tekes-Vinnova
• Project work by Sakari Karppinen in USA June-July 2015
• Advanced Manufacturing initiative with Finpro
03-2013DM
 Duration:
• 5 years (2014–2019)
 Estimated volume :
• MEUR 100
 Tekes funding:
• MEUR +50
Industrial Internet programme – volume and
schedule
Funding criteria – normal Tekes criteria
with an emphasis on:
• Renewing business processes and
service with help of the Industrial
Internet
• Projects with considerable volume to
ensure impact
• Cross-industry collaboration
• Pilots and demonstrations with active
industrial participation
Kari Penttinen, Programme manager, Tekes
kari.penttinen@tekes.fi
p. 050 5577 916
www.tekes.fi/ii
Aki Ylönen, team member, data analytics, Tekes Tampere
Sakari Karppinen, business models, USA cooperation, Tekes
Kimmo Ahola, smart devices, large companies, Tekes
Jukka Huikari, facility automation, Tekes
Michael Wiehl, German markets, Munchen, Tekes
Kaj Nordgren, communications, Tekes
Ask for more information!
6/17/2015 © Finpro30
BaseN
Jukka Paananen
Senior Vice President, Sales
Peer discussion:
Your input needed to shape the program:
6/17/2015 © Finpro31
3. New activities to be added to the program?
• Why?
2. Expectations of ”Beehive” activities.
1. Focus of the program:
• Three most important customer segments?
• Comments on country focus.
Case Germany
Kick off 12.6.2015, Helsinki
Finpro Germany, Petri Katajamäki
Typisch Deutsch
6/17/2015 © Finpro33
DEMOGRAPHY
17/06/2015 34
©
Finpro
 357 092 km2 (1,05 x Finland)
 82,4 inhabitants (15,8 x Finland)
 16 federal states (“Bundesländer”)
 The biggest cities:
Berlin (3,5 million)
Hamburg (1,8 million)
München (1,3 million)
Köln (1 million.)
Frankfurt am Main (700 000)
Stuttgart (600 000)
 Population widely dispersed
 14 cities with population over 500 000
 25 cities with population between 200
000 – 499 999
 Overall 80 cities with population over
100 000
Souce: Statista 2013
73
179
230
244
251
295
305
312
317
368
370
376
442
458
458
474
475
486
515
551
557
570
697
1493
1575
2210
0 500 1000 1500 2000 2500
Finland
Sweden
- - -
Malaysia
Brazil
Australia
Belgium
Taiwan
Switzerland
India
United Arab Emirates
Mexico
Saudi Arabia
Singapore
Spain
Canada
Italy
United Kingdom
Hong Kong
Russia
Netherlands
South Korea
France
Japan
Germany
United States
China
UVA MAAILMANKAUPASTA
THE LARGEST EXPORTERS 2013 (USD billion)
GLOBAL TRADE
17/06/2015 © Finpro
35
Source: CIA The World Factbook 2013
Overview
Machinery & Equipment Industry in Germany
Industry Group No. of Enterprises Employees in 1,000
yearly average
Turnover bn €
Mechanical engineering 6,274 908 173
Electrical equipment 4,000 803 159
Motor vehicles, trailers and semi-trailers 1,056 675 248
Chemical industry 1,162 278 103
Food products and beverages 5,207 419 120
Manufacturing 36,987 4,819 1,233
Source: VDMA, Statistisches Bundesamt, Sitra
36
Overview
Machinery & Equipment Industry in Germany
>> Revenue and Employees
Legend
€ - Revenue in Mio. €
# - No. of employees
€ 34,301
# 196,000
€ 50,061
# 285,000
€ 6,268
# 34,000
€ 1,811
# 11,000
€ 7,948
# 42,000
€ 39,197
# 197,000
€ 2,036
# 17,000
€ 5,598
# 34,000
€ 1,851
# 13,000
€ 630
# 6,000
€ 1,882
# 8,000
€ 1,18
# 5,000
€ 9,411
# 53,000
€ 675
# 4,000
€ 2,626
# 11,000
€ 5,331
# 20,000
Source: VDMA
Revenue > 34,000
Revenue > 5,500
37
Handelsblatt spring 2015
6/17/2015 © Finpro38
Hannover Messe
6/17/2015 © Finpro39
Embedded World 2016, Nürnberg
6/17/2015 © Finpro40
Digitalisierung der Energiewirtschaft
(Digitalisation of the Energy industry)
6/17/2015 © Finpro41
Robotics & Automation
6/17/2015 © Finpro42
Big data evolving business
Mika Neffling
Agenda
• Kemppi Oy
• Stop guessing – Start knowing
• Kemppi ARC System 3
• What next?
• Q&A
44
Executive
Chairman of the
Board
Mrs. Teresa
Kemppi-Vasama
This is Kemppi
Private
family-owned
company
Established
1949
Headquarters
in Lahti,
Finland
Global revenue
114 MEUR
(2014)
16
subsidiaries
globally
649 people in
16 different
countries
CEO
Mr. Anssi
Rantasalo
Parent company:
Kemppi Group
Oy
Executive
Chairman of
the Board
Mr. Antti
Kemppi
Big data evolving business
Mika Neffling
Agenda
• Kemppi Oy
• Stop guessing – Start knowing
• Kemppi ARC System 3
• What next?
• Q&A
47
Executive
Chairman of the
Board
Mrs. Teresa
Kemppi-Vasama
This is Kemppi
Private
family-owned
company
Established
1949
Headquarters
in Lahti,
Finland
Global revenue
114 MEUR
(2014)
16
subsidiaries
globally
649 people in
16 different
countries
CEO
Mr. Anssi
Rantasalo
Parent company:
Kemppi Group
Oy
Executive
Chairman of
the Board
Mr. Antti
Kemppi
Stop guessing - Start knowing
Quality & productivity requirements increasing
- How much do we really know about quality of welding?
http://www.nytimes.com
Business environment in all industries
becoming more challenging
Hypercompetition
Global management challenges
Cultural differences, multiple sites, extensive networks, several time zones
Kemppi ARC System 3 – KAS 3
Stop guessing and start knowing.
Mika Neffling
Phases of Welding Production Process
Production
Management
Welding
Production
Verification
Project
Configuration
Phases of Welding Production Process
Production
Management
Welding
Production
Verification
Project
Configuration
Production
Documentation
Kemppi ARC System 3 and Data
Documentation with one touch of a button
KAS Benefits
Whole welding network, monitored,
documented and controlled
Collected data guarantees traceability
4
3
Complete!
1
2
Complete!
defect
Transparency decreases repairs by 50%
Traditional
Kemppi
solutions
50%
Automated documentation decreases delivery time
by months
Time
Documentation
Point of delivery,
Kemppi solutions
Point of delivery,
Traditional
Welding production Documentation
Welding production €
€
Kemppi
solution
Traditional
solution
KAS 3
Reference Case: Outotec
63
KAS 3
Q&A
64
THANK YOU
Copyr ight © 2014, SAS Institute Inc. All rights reser ved.
BIG DATA ANALYTICS FOR IOT
CREATING VALUE WITH THE INTERNET OF THINGS
Copyr ight © 2014, SAS Institute Inc. All rights reser ved.
We have
customers
in 140
countries
And in more
than
75,000
sites
93 of the
top 100
companies
on the 2014
Fortune®
Global 500
list use SAS
Privately
owned since
1976
R&D annual
investment
25% of
revenue
38
consecutive
years of
revenue
growth
More than
14,000
employees
wordwide
Operated in
Finland
27 years
3900
professionals
in EMEA 600
within the
Nordic region,
90 in Finland
SAS is the leader in business
analytics software and
services, and the largest
independent vendor in the
business intelligence market.
SAS INSTITUTE
Copyright © 2014, SAS Institute Inc. All rights reserved.
Pankki
Telesektori Teollisuus
Julkishallinto
Julkaisutoiminta Kauppa ja Elintarvike
Palvelut Vakuutus
KUKA KÄYTTÄÄ SAS –ANALYTIIKKAA?
Copyr ight © 2014, SAS Institute Inc. All rights reser ved.
IOT
ANALYTICS AS A KEY ENABLER
“IoT creates a big data problem that analytics must solve —
transform huge volumes of data into a small quantity of
usable/actionable information.”
- Peter Middleton, Gartner
Copyr ight © 2014, SAS Institute Inc. All rights reser ved.
IOT VALUE / ANALYTICS IMPERATIVE
Data Insight Action Value
Copyright © 2012, SAS Institute Inc. All rights reserved.
IOT ANALYTICS / CONNECTING THE VALUE
IoT
Analytics
At Device
In-Stream
Out-of-Stream
80
81
82
83
84
85
86
87
88
Recycling
Processing of waste waters
Main grid
Bioenergy plant
Communities
- consumers
- public institutions
- further prosessing plants
- trde
- authorities
Clean recycled water
Energy
-electricity
- steam
- heat
Concepts and design
Production and implementation
Use automation, MES and ERP
Soil enrichment
- sludges
- compost
Primary production
- grain and fees production
Emplyees, families
Farm feed plant
Processing
Animal facilities
- pig house
- henhouse
- cattle
- green house
- etc.
896/17/201 © Finpro89
Business opportunities in Germany
Lukas Wagner
• Big Data and Industry 4.0 in Berlin and Germany
Big Data in German Companies
71%
29%
Total Yes
No
68%
32%
50-499 employees
96%
4%
≥ 500 employees
Is Big Data relevant to your company?
Source: BITKOM, Potenziale und Einsatz von Big Data, 2014
Big Data in German Companies
Source: BITKOM, Potenziale und Einsatz von Big Data, 2014
Are you using Big Data already?
36%
28%
29%
7%
50-499 employees
8%
23%
42%
27%
≥ 500 employees
33%
28%
31%
9%
We have not looked
into Big Data yet.
We have discussed
introducing Big Data,
but have not planned
anything yet.
We are planning to
introduce Big Data.
We are using Big Data
already.
Total
Big Data in German Companies
Source: BITKOM, Potenziale und Einsatz von Big Data, 2014
In what areas of your company are you using Big Data?
1%
8%
20%
22%
29%
35%
30%
46%
78%
50-499 employees
3%
20%
23%
14%
13%
19%
45%
34%
55%
≥ 500 employees
1%
10%
20%
21%
26%
33%
33%
44%
74%
Other
R&D
Production
Management
HR
Logistics
IT
Finance,
Controlling
Marketing,
Sales, PR
Total
Big Data in German Companies
Source: BITKOM, Potenziale und Einsatz von Big Data, 2014
How do you assess the potential of Big Data
for the following fields of application?
6%
27%
32%
37%
37%
38%
41%
48%
50-499 employees
5%
27%
32%
36%
37%
39%
41%
48%
≥ 500 employees
5%
27%
32%
36%
37%
39%
41%
48%
Other
Faster management
decisions
Optimized Resource
Planning
Competitive analyses
Early warning and forecast
mechanisms
Trend analyses
Improving customer
insights
Adding to existing
decision-making bases
Total
Berlin has a huge and diversified big data community with in depth knowledge
and the spirit to integrate the field into the economy, R&D and the every day
life.
With leading research programs like the Berlin Big Data Center, commercial
applications like Labfolder GmbH and events like the Buzzword, we offer
fruitful synergies for the different players.
Big Data in Berlin
Data science:
 Data Science Retreat: brings together top data scientists
and mentees
 DFKI Project Office Berlin: leading German research
institute in the field of innovative software technology based
on artificial intelligence
 Xinnovations e. V.: competence network for web-based
ICT
 Huge community with multiple data science meetups
 Companies like streamdrill UG
Big Data and Software R&D in Berlin
Advanced analytics &
algorithms:
 Berlin Machine Learning Groups:
example of success with Zalando
using machine learned weight
watching
 Machine Learning at TU Berlin –
the group develops and applies
intelligent algorithms for the analysis
and processing of complex data
sets
 Zuse Institut Berlin Data Analysis
 Berlin Buzzwords is Germany's
most exciting conference on storing,
processing and searching large
amounts of digital data
M2M mobile communications:
 Fraunhofer FOKUS – automotive services and
communication technologies (Car2X-Communication)
 Fraunhofer FOKUS – next generation network
infrastructures
Image Analytics:
 Fraunhofer HHI with experts on h.264-Codec
Big Data and Software R&D in Berlin
Data quality monitoring:
 Zuse Institut Berlin: multiple
research areas in regard to robust
algorithms
Hadoop Infrastructures:
 Big Data Beers (Hadoop,
MapReduce, HBase, Cassandra,
Batch processing, Real-time
processing, Storm etc.)
NoSQL database design
 Database Systems Group at Technical University Berlin
 The nosql-Database is based in Berlin
 Berlin Big Data Center: Competence Center
 Beuth Hochschule with renowned experts in NoSQL
 Multiple meetings relating to NoSQL in Berlin
Big Data and Software R&D in Berlin
Scalable cloud
architectures
 Computer Science Research
Center Berlin – focus group cloud
computing
 Next generation open-source big
data analytics platform
Stratosphere
 Major contributor to Apache Flink
is TU Berlin
 Amazon Web Services is located
in Berlin
Research groups:
 Beuth University of Applied Sciences research groups Data
Science & Smart Data Web
 Berlin Big Data Center: Federal Ministry of Education and
Research established competence center under the aegis of TU
Berlin with Konrad-Zuse Zentrum, Fritz-Haber Institut of Max-
Planck Gesellschaft and DFKI (originated from the MIA project)
► Apache Flink (formerly known as Stratosphere) platform
for efficient, distributed, general-purpose data processing
► Development of intelligent retrieval technologies
► Data Scientist Education
► “X”
 Quarterly Working group with relevant partners – Big Data AG
 Governmental Program “Open it berlin”
 Organizations like SIBB Forum Cloud Computing & Big Data
Big Data in Berlin
Commercial applications
 labfolder GmbH
 Oracle with big data department
 The unbelievable Machine Company GmbH
 neofonie
 uberMetrics
 bakdata
 motionlogic
 idalab
 datalize network
 Crate.IO GmbH
 datapine GmbH
 dataArtisans GmbH
 IPlytics GmbH
 Mapegy GmbH
Events like Berlin Buzzwords
Big Data in Berlin
Being part of Germany’s digital-
industrial revolution:
Possibility to jointly establish virtual
workbenches of the conventional industry and
to support processes of the cyber physical
integration and embedded systems.
Big Data Use Case: Industry 4.0
Industry 4.0 connects embedded system
production technologies and smart production
processes to pave the way to a new
technological age which will radically
transform industry and production value
chains and business models.
©industrieblick- Fotolia.com
Big Data Use Case: Industry 4.0
Opportunities: Challenges:
 More flexible and individual
production (“lot one”)
 Better plannable machine
maintenance
 Cost efficiency
 Increased competitiveness
 Better market, client, and production
analysis (Big Data)
 Data and network security
 Large investments necessary
 Skills and qualifications, changed work
environment
 Lack of norms, standards, interfaces
 Limited access to broadband networks
in rural areas
Roland Berger: Industry 4.0 Readiness Check for Europe
Source: Roland Berger Strategy Consultants, INDUSTRY 4.0 – The role of Switzerland within a European manufacturing revolution, 2015
Industry 4.0 in Berlin
Research facilities:
 Several IT degree programs and broad range of research
activities for industrial applications
 Most dense research network in Europe with 7 universities/
21 universities of applied science/ 100 commercial and
public research facilities
 Over 3.8 billion € investment into the research area with 1.3
billion € from the government/ 0.95 billion € from higher
education and 1.5 billion € from the commercial sector
 Biggest European research pool with 36,000 scientists
 Expertise in production systems, automation technology,
virtual product creation, life cycle engineering, life cycle
management, manufacturing process, crowd production, etc.
 Potential initial partners: inpro, GFaI, iaV, IWF, Fraunhofer
IPK/FOKUS/LCE/HHI, TU Berlin, T-Labs
Berlin‘s commercial landscape:
 Value chain parts “speed” and “innovation dynamic” are
effective in the region
 Great potential for technology transfer in the region
 Joint innovation strategy of the capital region empowers the
value chain potential
 Further developments of B2C and B2B for industrial
applications
 Pool for funding projects
 Cooperative structure and networking potential with
potential initial partners with Industry 4.0 focus like:
PSI, lesswire/PRETTL group, innovations Bosch Group,
SAP, Oracle, Atos or init AG
Industry 4.0 in Berlin
Please contact us!
Your contact:
Lukas Wagner
Project Manager Information | Communication Technologies
Tel +49 30 46302-434
E-Mail lukas.wagner@berlin-partner.de
Berlin Partner for Business and Technology
Ludwig Erhard Haus | Fasanenstr. 85 | 10623 Berlin
Tel +49 30 46302-500
www.berlin-partner.de www.businesslocationcenter.de
Some projects of the Berlin Partner für Wirtschaft und Technologie Berlin GmbH are funded by the federal state of Berlin
and the Investitionsbank Berlin, cofunded by the European Union – European Regional Development Fund. Investing in
your Future.
1076/17/201 © Finpro10
Business opportunities in US
Hartti Suomela
6/17/2015 © Finpro109
6/17/2015 © Finpro111
6/17/2015 © Finpro112
6/17/2015 © Finpro113
Some Random(?) U.S. Facts
• Population 319 million (June 2014 est.) – growth rate 2014: 2.4%
• Languages: English (79%), Spanish (13%), others
• GDP 2014: $54 800
• Industrial production growth rate 2014: 2.8%
• Unemployment 2014: 6.2% (down from 7.3% in 2013)
• Public companies: about 5 000
• Total companies: over 18 million (or over 12 million with more than 1 employee)
• VC funding in USA 2014: $47.3B (CB Insights) or $48.3B (NVCA) or $49.5 (PWC
Moneytree) or $59B (Pitchbook)
– Let’s say it’s a big number 
– Silicon Valley’s share: about 45%
– Round sizes increased, unicorn financings exploded…
6/17/2015 © Finpro114
6/17/2015 © Finpro115
Manucaturing, IoT, Industrial Internet –
A Hot Topic!
• PWC study on U.S. manufacturing and data-driven business:
– 35% of US manufacturers are currently collecting and using data generated by
smart sensors to enhance manufacturing/operating processes
– 34% believe it is “extremely critical” that US manufacturers adopt an IoT strategy in
their operations
– 38% currently embed sensors in products that enable end-users/customers to
collect sensor-generated data
• IDC Manufacturing Insights, IoT applications boil down to two — for processes and
products:
– Support the process: By 2020 at least half of all corporate stand processes will have
automated data acquisition; a quarter will have self-correction capabilities.
– Support the products: By 2020, onboard service revenue will double its share of
total industry revenue. Technology becomes a core product competency.
6/17/2015 © Finpro117
Slightly Off-topic:
Open Governmental Data
• Data created by federal, state and at municipal level should (and is going to) be open
– Access is still technologically limited and fragmented
– Various sites, APIs and formats to access the data
– But allows building quite diverse set of applications and services already
• On federal level strong push to work on this front even more: President Obama
appointed in Feb 2015 Dr. DJ Patil as Deputy Chief Technology Officer for Data Policy
and Chief Data Scientist
– Three main priorities
• Precision medicine
• Usable data products
• Responsible data science (including privacy as well as societal, ethical and moral
consequences)
6/17/2015 © Finpro118
6/17/2015 © Finpro119
6/17/2015 © Finpro120
6/17/2015 © Finpro121
Opportunity Listing (incomplete)
• Power / electricity
– Oil and Gas, Exploration and Development
– Device (predictive) maintenance
• Healthcare, system wide (although regulation makes this segment tougher than
others)
– Precision medicine, insurance, patient traffic, outcome improvement, device
(predictive) maintenance
• In general: From batch processing of data to real time data analysis and predictive
analysis
– Huge demand for data analysts, statisticians, data scientists
• Data driven decision making
• Security solutions around industrial internet / IoT
6/17/2015 © Finpro122
6/17/2015 © Finpro123
6/17/2015 © Finpro124
6/17/2015 © Finpro125
TEMA Technologie Marketing AG
Aachener-und-Münchener-Allee 9 | 52074 Aachen | Germany
Next steps
• Call for participation and kick off material 17.6.
• Final commitment by 7.8.
• Company one-2-one discussions 12.6.- 7.8.
• CYK growth program participant & 2015 schedule coms 12.8.
• Beehive kick off 18.-19.8.
6/17/2015 © Finpro126
Reijo Smolander, Program Director, 040 5529681, reijo.smolander@finpro.fi
Raimo Malila, Program Manager, 046 9232345, raimo.malila@finpro.fi
Minna Juuti, Program coordinator, 046 9231846, minna.juuti@finpro.fi

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Cyk kick off 12 6 2015 presentation for sharing

  • 1. Industrial internet - Capitalise your knowledge Growth Program Kick off 12.6.2015, Helsinki Finpro /Export Reijo Smolander
  • 2. Agenda 8:30 - 8:45 Registration, coffee and networking 8:45 - 8:50 Opening, welcome, targets for the day 8.50 – 9.00 Setting the scene - Team Finland Growth Programs (Hanna Marttinen-Deakins) 9:00 - 9:20 Capitalise Your Knowledge Growth Program (Reijo Smolander) 9.20 – 9.30 Industrial Internet, Tekes perspective (Kari Penttinen) 9.30 - 9:40 BaseN - expectations for the Growth Program (Jukka Paananen) 9.40 – 10.15 Peer discussions: Needs and Wants for the program & company collaboration 10.15– 10.30 Coffee break 10:30 – 10.50 Case Germany (Petri Katajamäki) 10:50 – 11.10 Big data evolving business, Kemppi Oy (Mika Neffling) 11.10 – 11.30 Big Data Analytics for the Industrial Internet, SAS Institute Oy (Oscar Lindqvist and Pasi Helenius) 11.30 – 12.20 Growth Program business opportunities General Finland (Juhani Pohjus) Germany (Lukas Wagner) US Business leads (Hartti Suomela) 12.20 – 12.30 Next steps 12:30 - Lunch
  • 3. Team Finland–Finpro–Growth Programs Hanna Marttinen-Deakins 12.6.2015
  • 4.
  • 5. 17/06/2015 © Finpro5 Team Finland internationalisation services  Government-funded services that help Finnish companies to succeed in international markets
  • 7. 17/06/20157 We will help you plan your business internationalization or get help with practical issues Are we ready to go international ? The internationalisation test can identify in basic level company´s strengths and needs for development  https://oma.yrityssuomi.fi/en/kansainvalistymistesti The business infrastructure analysis is to form an overview of your company´s needs for development  https://oma.yrityssuomi.fi/yrityksen-kehittamiskartoitus What to do next ? http://services.team.finland.fi Team Finland Service Plan Pre-internationalization evaluation Sparring business ideas
  • 10. Focus activities of Growth Programs Strengthening Marketing and Sales competencies Co-operation and Networking Identifying opportunities; clients, partners, markets Impact through Marketing and Communication 10
  • 12. Industrial internet value chain - Growth Program focus 12 Services Analyses & visualisation Data collection & management Sensors & equipment Big Data Growth Program Capitalise your Knowledge 6/17/2015 © Finpro
  • 13. Capitalise your Knowledge - Manufacturing – expand to other sectors ? 13 Services Analyses & visualisation Data collection & management Sensors & equipment 6/17/2015 © Finpro Manufacturing Retail Transportation Smart Infrastructure Health CYK Growth Program MaaS Pre Study E- Commer ce Growth Program Digital Hospital
  • 14. Capitalise your Knowledge - Growth Program - what company benefits from it? • Quicker market & customer access – Meeting and matching with potential customers & partners • Customer & partner events • Business opportunity / lead information – Market & promote Finnish offering on target markets • Media • Exhibitions • Support in finding needed financing – Team Finland – Tekes, Finnvera, Ely etc. – Matching with potential foreign investors – VC, technology partnering etc. • Strengthening international business capabilities – International business plans / modes – Market knowledge – Competencies • Supporting in company cooperation – Meet customer need / expectation • Offering & supplier credibility 6/17/2015 © Finpro14
  • 15. Capitalise your Knowledge - Growth Program content 6/17/2015 © Finpro15 Program scope 30 – 40 companies International plan and business models Preparation Export camp for target market Trade fairs, Conferences, Exhibitions Minister delegations, Fact findings trips, Road shows Export camp on target market International marketing, Sales, Distribution channels Market study for target market Market study for company group’Beehive’ Cooperation - Big deals - Co-operation based on customer needs & business opportunities - Credibility
  • 16. Beehive ’in operation’ 6/17/2015 © Finpro16 A II – Customer needs exceed the capabilities or resources of company A Customer V – Collaboration of companies A+C+E contacts the customer according the business model, e.g. by company A VI – Beehive collaboration fulfills the customer expectations Customer A E C IV – Predefined contracts and business model is used between companies A,C and E C D F E G B Customer interfaceCompany collaboration
  • 17. Module Description - Export camp on target market Detail content adjusted to company needs, but overall structure will be: 1. Getting to know the market - customer / buyer / partner understanding 2. Preparing for meeting - Sales speech sparring etc. 3. Meeting potential customer, partner, investor, media 4. Summarise meeting outcomes - Pull together meeting learnings and next actions Duration: 2 – 4 days for the whole module 6/17/2015 © Finpro17
  • 18. First year scheduling (preliminary) 6/17/2015 © Finpro18 2015 2016 Q2 Q3 Q4 Q1 Q2 Kick off, 12.6.2015 General modules - International plan/Bus.mod - International sales & mark. Beehive - Company grouping - Progress & experience rev. Market entry operations - Germany - United Kingdom, UK - Sweden - Denmark - USA - Asia Conferences/exhibitions - Slush - XX Germany - XX UK
  • 19. Program metrics and targets Metrics 2015 2016 2017 Target Result Target Result Target Result - Number of companies participating in the program 35 45 60 - Number of events abroad 2/3 3/4 3/4 - Media visibility, number of media hits 5 20 40 - Growth of turnover - companies participating in the program 5% * 10% 13% - Increase of jobs – companies participating 50 150 300 - Growth of export – companies participating 5% * 12% 15% - Increase of foreign investments – number of investments 0 4 7 - Number of investment negotiation 5 10 10 *) Turnover and export growth measured on made contracts (first year)
  • 20. Capitalise your knowledge - in short • Three year program helping companies to expand their international business –First year targets & focus • 30-40 companies on board • Beehive for boosting business • Markets – Germany, UK, Sweden, Denmark –Second and third year • Expand on new markets, new industry coverage, deepen Beehive cooperation • Program participation fee – 1500 / 3000 / 6000 Eur (company size) • Company participates in activities based on its needs 6/17/2015 © Finpro20
  • 21. 21 6/17/2015 © Finpro Team Finland - Where to get support beyond the program? Product/Service/ Business model development Customer development/ Piloting Growth/Business scaling Internationalization CYK program focus TEKES Industrial Internet program TEKES Funding for Planning for global growth TEKES Funding for Piloting OTHER PUBLIC SUPPORT TOOLS TEKES, ELY centers, Finnvera, EU Horizon 2020 etc.
  • 22. Industrial Internet – Business Revolution Tekes programme 2014–2019
  • 23. Why Tekes programme is needed? Tekes Industrial Internet programme encourages Finnish companies to renew their business models by the means of industrial internet. It provides services to find new cross-industry business partners. This creates better competitiveness, new companies ja completely new business models for existing ones for international business.
  • 24. Programme objectives 1. New open multidisciplinary networks and creative cooperation between ICT and other industry clusters ”Opening the Silos” 2. Business utilisation of available and growing amount of data ”Value from meaningful data” 3. Business renewal, growth and international business by the means of the Industrial Internet ”Business Internet”
  • 25. The Industrial Internet – actors assisting enterprises and SME’s EU’s Horizon 2020: Cyber Physical Systems, Internet of Things, Factories of the Future ECSEL PPP: Embedded Systems, IoT, Smart Systems, Critical Systems EUREKA ITEA3 Software-intensive Systems & Services Strategic research Other Tekes programmes: 5thGear Bits of Health, Liideri Tekes Industrial Internet programme Tekes Research Funding Hilla-program DIGILE IoT, D2I, CyberTrust ICT2023 R&D&I programme (Academy, Tekes) Basic research SHOK-research Tekes programmes TEM/Finpro-programmes Academy of Finland ICT2023 research calls Strategic Research Council VTT Productivity with IoT, Business Models for IoT TEM/Finpro Team Finland Future Watch Sitra Resource wisdom, Business development, Industrial symbiosis…. FIMECC S-STEP, S4Fleet Finnish Industrial Internet Forum, FIIF (TT ry, VTT, FIMECC, DIGILE, Tekes + companies) Distance from the market
  • 26. Business potential The biggest growth comes from data analytics, applications and new services The Industrial Internet brings companies new business opportunities by renewing business models and services. World Economic Forum: Industrial Internet of Things: Unleashing the Potential of Connected Products and Services http://www3.weforum.org/docs/WEFUSA_IndustrialInternet_Report2015.pdf
  • 27. Programme status Funding decision by June 10th: • 44 projects in companies, Tekes funding 14 meur • 9 research projects, Tekes funding 2,2 meur Applications in process: >30 Typical challenges in project planning: • Time needed to find new partners • Commitment to create new kind of service business  International cooperation: • ECSEL, ITEA3, CELTIC, Horison 2020 • Tekes-Vinnova • Project work by Sakari Karppinen in USA June-July 2015 • Advanced Manufacturing initiative with Finpro 03-2013DM
  • 28.  Duration: • 5 years (2014–2019)  Estimated volume : • MEUR 100  Tekes funding: • MEUR +50 Industrial Internet programme – volume and schedule Funding criteria – normal Tekes criteria with an emphasis on: • Renewing business processes and service with help of the Industrial Internet • Projects with considerable volume to ensure impact • Cross-industry collaboration • Pilots and demonstrations with active industrial participation
  • 29. Kari Penttinen, Programme manager, Tekes kari.penttinen@tekes.fi p. 050 5577 916 www.tekes.fi/ii Aki Ylönen, team member, data analytics, Tekes Tampere Sakari Karppinen, business models, USA cooperation, Tekes Kimmo Ahola, smart devices, large companies, Tekes Jukka Huikari, facility automation, Tekes Michael Wiehl, German markets, Munchen, Tekes Kaj Nordgren, communications, Tekes Ask for more information!
  • 30. 6/17/2015 © Finpro30 BaseN Jukka Paananen Senior Vice President, Sales
  • 31. Peer discussion: Your input needed to shape the program: 6/17/2015 © Finpro31 3. New activities to be added to the program? • Why? 2. Expectations of ”Beehive” activities. 1. Focus of the program: • Three most important customer segments? • Comments on country focus.
  • 32. Case Germany Kick off 12.6.2015, Helsinki Finpro Germany, Petri Katajamäki
  • 34. DEMOGRAPHY 17/06/2015 34 © Finpro  357 092 km2 (1,05 x Finland)  82,4 inhabitants (15,8 x Finland)  16 federal states (“Bundesländer”)  The biggest cities: Berlin (3,5 million) Hamburg (1,8 million) München (1,3 million) Köln (1 million.) Frankfurt am Main (700 000) Stuttgart (600 000)  Population widely dispersed  14 cities with population over 500 000  25 cities with population between 200 000 – 499 999  Overall 80 cities with population over 100 000 Souce: Statista 2013
  • 35. 73 179 230 244 251 295 305 312 317 368 370 376 442 458 458 474 475 486 515 551 557 570 697 1493 1575 2210 0 500 1000 1500 2000 2500 Finland Sweden - - - Malaysia Brazil Australia Belgium Taiwan Switzerland India United Arab Emirates Mexico Saudi Arabia Singapore Spain Canada Italy United Kingdom Hong Kong Russia Netherlands South Korea France Japan Germany United States China UVA MAAILMANKAUPASTA THE LARGEST EXPORTERS 2013 (USD billion) GLOBAL TRADE 17/06/2015 © Finpro 35 Source: CIA The World Factbook 2013
  • 36. Overview Machinery & Equipment Industry in Germany Industry Group No. of Enterprises Employees in 1,000 yearly average Turnover bn € Mechanical engineering 6,274 908 173 Electrical equipment 4,000 803 159 Motor vehicles, trailers and semi-trailers 1,056 675 248 Chemical industry 1,162 278 103 Food products and beverages 5,207 419 120 Manufacturing 36,987 4,819 1,233 Source: VDMA, Statistisches Bundesamt, Sitra 36
  • 37. Overview Machinery & Equipment Industry in Germany >> Revenue and Employees Legend € - Revenue in Mio. € # - No. of employees € 34,301 # 196,000 € 50,061 # 285,000 € 6,268 # 34,000 € 1,811 # 11,000 € 7,948 # 42,000 € 39,197 # 197,000 € 2,036 # 17,000 € 5,598 # 34,000 € 1,851 # 13,000 € 630 # 6,000 € 1,882 # 8,000 € 1,18 # 5,000 € 9,411 # 53,000 € 675 # 4,000 € 2,626 # 11,000 € 5,331 # 20,000 Source: VDMA Revenue > 34,000 Revenue > 5,500 37
  • 40. Embedded World 2016, Nürnberg 6/17/2015 © Finpro40
  • 41. Digitalisierung der Energiewirtschaft (Digitalisation of the Energy industry) 6/17/2015 © Finpro41
  • 43. Big data evolving business Mika Neffling
  • 44. Agenda • Kemppi Oy • Stop guessing – Start knowing • Kemppi ARC System 3 • What next? • Q&A 44
  • 45. Executive Chairman of the Board Mrs. Teresa Kemppi-Vasama This is Kemppi Private family-owned company Established 1949 Headquarters in Lahti, Finland Global revenue 114 MEUR (2014) 16 subsidiaries globally 649 people in 16 different countries CEO Mr. Anssi Rantasalo Parent company: Kemppi Group Oy Executive Chairman of the Board Mr. Antti Kemppi
  • 46. Big data evolving business Mika Neffling
  • 47. Agenda • Kemppi Oy • Stop guessing – Start knowing • Kemppi ARC System 3 • What next? • Q&A 47
  • 48. Executive Chairman of the Board Mrs. Teresa Kemppi-Vasama This is Kemppi Private family-owned company Established 1949 Headquarters in Lahti, Finland Global revenue 114 MEUR (2014) 16 subsidiaries globally 649 people in 16 different countries CEO Mr. Anssi Rantasalo Parent company: Kemppi Group Oy Executive Chairman of the Board Mr. Antti Kemppi
  • 49. Stop guessing - Start knowing
  • 50. Quality & productivity requirements increasing - How much do we really know about quality of welding? http://www.nytimes.com
  • 51. Business environment in all industries becoming more challenging Hypercompetition
  • 52. Global management challenges Cultural differences, multiple sites, extensive networks, several time zones
  • 53. Kemppi ARC System 3 – KAS 3 Stop guessing and start knowing. Mika Neffling
  • 54. Phases of Welding Production Process Production Management Welding Production Verification Project Configuration
  • 55. Phases of Welding Production Process Production Management Welding Production Verification Project Configuration Production Documentation
  • 56. Kemppi ARC System 3 and Data
  • 57. Documentation with one touch of a button
  • 59. Whole welding network, monitored, documented and controlled
  • 60. Collected data guarantees traceability 4 3 Complete! 1 2 Complete! defect
  • 61. Transparency decreases repairs by 50% Traditional Kemppi solutions 50%
  • 62. Automated documentation decreases delivery time by months Time Documentation Point of delivery, Kemppi solutions Point of delivery, Traditional Welding production Documentation Welding production € € Kemppi solution Traditional solution
  • 63. KAS 3 Reference Case: Outotec 63
  • 66. Copyr ight © 2014, SAS Institute Inc. All rights reser ved. BIG DATA ANALYTICS FOR IOT CREATING VALUE WITH THE INTERNET OF THINGS
  • 67. Copyr ight © 2014, SAS Institute Inc. All rights reser ved. We have customers in 140 countries And in more than 75,000 sites 93 of the top 100 companies on the 2014 Fortune® Global 500 list use SAS Privately owned since 1976 R&D annual investment 25% of revenue 38 consecutive years of revenue growth More than 14,000 employees wordwide Operated in Finland 27 years 3900 professionals in EMEA 600 within the Nordic region, 90 in Finland SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. SAS INSTITUTE
  • 68. Copyright © 2014, SAS Institute Inc. All rights reserved. Pankki Telesektori Teollisuus Julkishallinto Julkaisutoiminta Kauppa ja Elintarvike Palvelut Vakuutus KUKA KÄYTTÄÄ SAS –ANALYTIIKKAA?
  • 69. Copyr ight © 2014, SAS Institute Inc. All rights reser ved. IOT ANALYTICS AS A KEY ENABLER “IoT creates a big data problem that analytics must solve — transform huge volumes of data into a small quantity of usable/actionable information.” - Peter Middleton, Gartner
  • 70. Copyr ight © 2014, SAS Institute Inc. All rights reser ved. IOT VALUE / ANALYTICS IMPERATIVE Data Insight Action Value
  • 71. Copyright © 2012, SAS Institute Inc. All rights reserved. IOT ANALYTICS / CONNECTING THE VALUE IoT Analytics At Device In-Stream Out-of-Stream
  • 72. 80
  • 73. 81
  • 74. 82
  • 75. 83
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  • 80. 88 Recycling Processing of waste waters Main grid Bioenergy plant Communities - consumers - public institutions - further prosessing plants - trde - authorities Clean recycled water Energy -electricity - steam - heat Concepts and design Production and implementation Use automation, MES and ERP Soil enrichment - sludges - compost Primary production - grain and fees production Emplyees, families Farm feed plant Processing Animal facilities - pig house - henhouse - cattle - green house - etc.
  • 81. 896/17/201 © Finpro89 Business opportunities in Germany Lukas Wagner
  • 82. • Big Data and Industry 4.0 in Berlin and Germany
  • 83. Big Data in German Companies 71% 29% Total Yes No 68% 32% 50-499 employees 96% 4% ≥ 500 employees Is Big Data relevant to your company? Source: BITKOM, Potenziale und Einsatz von Big Data, 2014
  • 84. Big Data in German Companies Source: BITKOM, Potenziale und Einsatz von Big Data, 2014 Are you using Big Data already? 36% 28% 29% 7% 50-499 employees 8% 23% 42% 27% ≥ 500 employees 33% 28% 31% 9% We have not looked into Big Data yet. We have discussed introducing Big Data, but have not planned anything yet. We are planning to introduce Big Data. We are using Big Data already. Total
  • 85. Big Data in German Companies Source: BITKOM, Potenziale und Einsatz von Big Data, 2014 In what areas of your company are you using Big Data? 1% 8% 20% 22% 29% 35% 30% 46% 78% 50-499 employees 3% 20% 23% 14% 13% 19% 45% 34% 55% ≥ 500 employees 1% 10% 20% 21% 26% 33% 33% 44% 74% Other R&D Production Management HR Logistics IT Finance, Controlling Marketing, Sales, PR Total
  • 86. Big Data in German Companies Source: BITKOM, Potenziale und Einsatz von Big Data, 2014 How do you assess the potential of Big Data for the following fields of application? 6% 27% 32% 37% 37% 38% 41% 48% 50-499 employees 5% 27% 32% 36% 37% 39% 41% 48% ≥ 500 employees 5% 27% 32% 36% 37% 39% 41% 48% Other Faster management decisions Optimized Resource Planning Competitive analyses Early warning and forecast mechanisms Trend analyses Improving customer insights Adding to existing decision-making bases Total
  • 87. Berlin has a huge and diversified big data community with in depth knowledge and the spirit to integrate the field into the economy, R&D and the every day life. With leading research programs like the Berlin Big Data Center, commercial applications like Labfolder GmbH and events like the Buzzword, we offer fruitful synergies for the different players. Big Data in Berlin
  • 88. Data science:  Data Science Retreat: brings together top data scientists and mentees  DFKI Project Office Berlin: leading German research institute in the field of innovative software technology based on artificial intelligence  Xinnovations e. V.: competence network for web-based ICT  Huge community with multiple data science meetups  Companies like streamdrill UG Big Data and Software R&D in Berlin Advanced analytics & algorithms:  Berlin Machine Learning Groups: example of success with Zalando using machine learned weight watching  Machine Learning at TU Berlin – the group develops and applies intelligent algorithms for the analysis and processing of complex data sets  Zuse Institut Berlin Data Analysis  Berlin Buzzwords is Germany's most exciting conference on storing, processing and searching large amounts of digital data
  • 89. M2M mobile communications:  Fraunhofer FOKUS – automotive services and communication technologies (Car2X-Communication)  Fraunhofer FOKUS – next generation network infrastructures Image Analytics:  Fraunhofer HHI with experts on h.264-Codec Big Data and Software R&D in Berlin Data quality monitoring:  Zuse Institut Berlin: multiple research areas in regard to robust algorithms Hadoop Infrastructures:  Big Data Beers (Hadoop, MapReduce, HBase, Cassandra, Batch processing, Real-time processing, Storm etc.)
  • 90. NoSQL database design  Database Systems Group at Technical University Berlin  The nosql-Database is based in Berlin  Berlin Big Data Center: Competence Center  Beuth Hochschule with renowned experts in NoSQL  Multiple meetings relating to NoSQL in Berlin Big Data and Software R&D in Berlin Scalable cloud architectures  Computer Science Research Center Berlin – focus group cloud computing  Next generation open-source big data analytics platform Stratosphere  Major contributor to Apache Flink is TU Berlin  Amazon Web Services is located in Berlin
  • 91. Research groups:  Beuth University of Applied Sciences research groups Data Science & Smart Data Web  Berlin Big Data Center: Federal Ministry of Education and Research established competence center under the aegis of TU Berlin with Konrad-Zuse Zentrum, Fritz-Haber Institut of Max- Planck Gesellschaft and DFKI (originated from the MIA project) ► Apache Flink (formerly known as Stratosphere) platform for efficient, distributed, general-purpose data processing ► Development of intelligent retrieval technologies ► Data Scientist Education ► “X”  Quarterly Working group with relevant partners – Big Data AG  Governmental Program “Open it berlin”  Organizations like SIBB Forum Cloud Computing & Big Data Big Data in Berlin
  • 92. Commercial applications  labfolder GmbH  Oracle with big data department  The unbelievable Machine Company GmbH  neofonie  uberMetrics  bakdata  motionlogic  idalab  datalize network  Crate.IO GmbH  datapine GmbH  dataArtisans GmbH  IPlytics GmbH  Mapegy GmbH Events like Berlin Buzzwords Big Data in Berlin
  • 93. Being part of Germany’s digital- industrial revolution: Possibility to jointly establish virtual workbenches of the conventional industry and to support processes of the cyber physical integration and embedded systems. Big Data Use Case: Industry 4.0 Industry 4.0 connects embedded system production technologies and smart production processes to pave the way to a new technological age which will radically transform industry and production value chains and business models. ©industrieblick- Fotolia.com
  • 94. Big Data Use Case: Industry 4.0 Opportunities: Challenges:  More flexible and individual production (“lot one”)  Better plannable machine maintenance  Cost efficiency  Increased competitiveness  Better market, client, and production analysis (Big Data)  Data and network security  Large investments necessary  Skills and qualifications, changed work environment  Lack of norms, standards, interfaces  Limited access to broadband networks in rural areas
  • 95. Roland Berger: Industry 4.0 Readiness Check for Europe Source: Roland Berger Strategy Consultants, INDUSTRY 4.0 – The role of Switzerland within a European manufacturing revolution, 2015
  • 96. Industry 4.0 in Berlin Research facilities:  Several IT degree programs and broad range of research activities for industrial applications  Most dense research network in Europe with 7 universities/ 21 universities of applied science/ 100 commercial and public research facilities  Over 3.8 billion € investment into the research area with 1.3 billion € from the government/ 0.95 billion € from higher education and 1.5 billion € from the commercial sector  Biggest European research pool with 36,000 scientists  Expertise in production systems, automation technology, virtual product creation, life cycle engineering, life cycle management, manufacturing process, crowd production, etc.  Potential initial partners: inpro, GFaI, iaV, IWF, Fraunhofer IPK/FOKUS/LCE/HHI, TU Berlin, T-Labs
  • 97. Berlin‘s commercial landscape:  Value chain parts “speed” and “innovation dynamic” are effective in the region  Great potential for technology transfer in the region  Joint innovation strategy of the capital region empowers the value chain potential  Further developments of B2C and B2B for industrial applications  Pool for funding projects  Cooperative structure and networking potential with potential initial partners with Industry 4.0 focus like: PSI, lesswire/PRETTL group, innovations Bosch Group, SAP, Oracle, Atos or init AG Industry 4.0 in Berlin
  • 98. Please contact us! Your contact: Lukas Wagner Project Manager Information | Communication Technologies Tel +49 30 46302-434 E-Mail lukas.wagner@berlin-partner.de Berlin Partner for Business and Technology Ludwig Erhard Haus | Fasanenstr. 85 | 10623 Berlin Tel +49 30 46302-500 www.berlin-partner.de www.businesslocationcenter.de Some projects of the Berlin Partner für Wirtschaft und Technologie Berlin GmbH are funded by the federal state of Berlin and the Investitionsbank Berlin, cofunded by the European Union – European Regional Development Fund. Investing in your Future.
  • 99. 1076/17/201 © Finpro10 Business opportunities in US Hartti Suomela
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  • 106. Some Random(?) U.S. Facts • Population 319 million (June 2014 est.) – growth rate 2014: 2.4% • Languages: English (79%), Spanish (13%), others • GDP 2014: $54 800 • Industrial production growth rate 2014: 2.8% • Unemployment 2014: 6.2% (down from 7.3% in 2013) • Public companies: about 5 000 • Total companies: over 18 million (or over 12 million with more than 1 employee) • VC funding in USA 2014: $47.3B (CB Insights) or $48.3B (NVCA) or $49.5 (PWC Moneytree) or $59B (Pitchbook) – Let’s say it’s a big number  – Silicon Valley’s share: about 45% – Round sizes increased, unicorn financings exploded… 6/17/2015 © Finpro114
  • 108. Manucaturing, IoT, Industrial Internet – A Hot Topic! • PWC study on U.S. manufacturing and data-driven business: – 35% of US manufacturers are currently collecting and using data generated by smart sensors to enhance manufacturing/operating processes – 34% believe it is “extremely critical” that US manufacturers adopt an IoT strategy in their operations – 38% currently embed sensors in products that enable end-users/customers to collect sensor-generated data • IDC Manufacturing Insights, IoT applications boil down to two — for processes and products: – Support the process: By 2020 at least half of all corporate stand processes will have automated data acquisition; a quarter will have self-correction capabilities. – Support the products: By 2020, onboard service revenue will double its share of total industry revenue. Technology becomes a core product competency.
  • 110. Slightly Off-topic: Open Governmental Data • Data created by federal, state and at municipal level should (and is going to) be open – Access is still technologically limited and fragmented – Various sites, APIs and formats to access the data – But allows building quite diverse set of applications and services already • On federal level strong push to work on this front even more: President Obama appointed in Feb 2015 Dr. DJ Patil as Deputy Chief Technology Officer for Data Policy and Chief Data Scientist – Three main priorities • Precision medicine • Usable data products • Responsible data science (including privacy as well as societal, ethical and moral consequences) 6/17/2015 © Finpro118
  • 114. Opportunity Listing (incomplete) • Power / electricity – Oil and Gas, Exploration and Development – Device (predictive) maintenance • Healthcare, system wide (although regulation makes this segment tougher than others) – Precision medicine, insurance, patient traffic, outcome improvement, device (predictive) maintenance • In general: From batch processing of data to real time data analysis and predictive analysis – Huge demand for data analysts, statisticians, data scientists • Data driven decision making • Security solutions around industrial internet / IoT 6/17/2015 © Finpro122
  • 117. 6/17/2015 © Finpro125 TEMA Technologie Marketing AG Aachener-und-Münchener-Allee 9 | 52074 Aachen | Germany
  • 118. Next steps • Call for participation and kick off material 17.6. • Final commitment by 7.8. • Company one-2-one discussions 12.6.- 7.8. • CYK growth program participant & 2015 schedule coms 12.8. • Beehive kick off 18.-19.8. 6/17/2015 © Finpro126
  • 119. Reijo Smolander, Program Director, 040 5529681, reijo.smolander@finpro.fi Raimo Malila, Program Manager, 046 9232345, raimo.malila@finpro.fi Minna Juuti, Program coordinator, 046 9231846, minna.juuti@finpro.fi