cyk kick off 12 6 2015 presentation for sharing
TRANSCRIPT
Industrial internet - Capitalise your knowledge Growth Program
Kick off 12.6.2015, HelsinkiFinpro /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
17/06/2015 © Finpro5
Team Finland internationalisationservices
Government-funded services that help Finnish companies to succeed in international markets
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
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
Industrial internet value chain- Growth Program focus
12
Services
Analyses & visualisation
Data collection & management
Sensors & equipment
Big Data
Growth Program
Capitalise your Knowledge
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Capitalise your Knowledge- Manufacturing – expand to other sectors ?
13
Services
Analyses & visualisation
Data collection & management
Sensors & equipment
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Manufacturing Retail Transportation SmartInfrastructure
Health
CYKGrowthProgram
MaaS
PreStudy
E-Commer
ce
GrowthProgram
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
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Capitalise your Knowledge- Growth Program content
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Program scope30 – 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’
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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 AVI – Beehive collaboration
fulfills the customer expectations
Customer
AE
C
IV – Predefined contracts and business model is
used between companies A,C and E
C
DF
E
GB
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
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First year scheduling (preliminary)
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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
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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
TEKESIndustrial Internet
program
TEKESFunding for
Planning for global growth
TEKESFunding for
Piloting
OTHER PUBLIC SUPPORT TOOLSTEKES, ELY centers, Finnvera, EU Horizon 2020 etc.
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 servicesThe 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
scheduleFunding 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, [email protected]
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!
Peer discussion:Your input needed to shape the program:
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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.
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 over100 000
Souce: Statista 2013
73179
230244251
295305312317
368370376
442458458474475486
515551557570
6971493
15752210
0 500 1000 1500 2000 2500
FinlandSweden
- - -Malaysia
BrazilAustraliaBelgiumTaiwan
SwitzerlandIndia
United Arab EmiratesMexico
Saudi ArabiaSingapore
SpainCanada
ItalyUnited Kingdom
Hong KongRussia
NetherlandsSouth Korea
FranceJapan
GermanyUnited States
China
UVA MAAILMANKAUPASTA
THE LARGEST EXPORTERS 2013 (USD billion)
GLOBAL TRADE
17/06/2015 © Finpro35
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, Sitra36
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
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
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
Quality & productivity requirements increasing - How much do we really know about quality of welding?
http://www.nytimes.com
Global management challengesCultural differences, multiple sites, extensive networks, several time zones
Phases of Welding Production Process
Production
Management
Welding
ProductionVerification
Project
Configuration
Phases of Welding Production Process
Production
Management
Welding
ProductionVerification
Project
Configuration
Production
Documentation
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
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
BIG DATA ANALYTICS FOR IOT
CREATING VALUE WITH THE INTERNET OF THINGS
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
We have
customers
in 140countries
And in more
than
75,000sites
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
38consecutive
years of
revenue
growth
More than
14,000employees
wordwide
Operated in
Finland
27 years
3900professionals
in EMEA 600within 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
Copyr i gh t © 2014, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
Pankki
Telesektori Teollisuus
Julkishallinto
Julkaisutoiminta Kauppa ja Elintarvike
Palvelut Vakuutus
KUKA KÄYTTÄÄ SAS –ANALYTIIKKAA?
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
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 i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
IOT VALUE / ANALYTICS IMPERATIVE
Data Insight Action Value
Copyr i gh t © 2012, SAS Ins t i tu te Inc . A l l r i gh ts reserved .
IOT ANALYTICS / CONNECTING THE VALUE
IoT Analytics
At Device
In-Stream
Out-of-Stream
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
- heatConcepts 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.
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 lookedinto Big Data yet.
We have discussedintroducing Big Data,but have not planned
anything yet.
We are planning tointroduce Big Data.
We are using Big Dataalready.
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 managementdecisions
Optimized ResourcePlanning
Competitive analyses
Early warning and forecastmechanisms
Trend analyses
Improving customerinsights
Adding to existingdecision-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 systemproduction technologies and smart productionprocesses to pave the way to a newtechnological age which will radicallytransform industry and production valuechains and business models.
©industrieblick - Fotolia.com
Big Data Use Case: Industry 4.0
Opportunities: Challenges:
More flexible and individualproduction (“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 [email protected]
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.
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
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.
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)
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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 © 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, [email protected]
Raimo Malila, Program Manager, 046 9232345, [email protected]
Minna Juuti, Program coordinator, 046 9231846, [email protected]