The IoT is the manifestation that the raw material of the information age is datum. Data are the new source of innovation and the lever to achieve business sustainability. By extracting data from assets and products, companies can become more efficient through a strategic rethinking of their value chains and business processes. In so doing, companies will add the required readiness to shift from products to services, and eventually enter in the outcome economy. To truly embrace the digital transformation, organizations need to collect actionable data from their assets, processes, and products and then connect the OT (Operational Technology) world where data are generated to IT (Information Technology) world where data are consumed. Beside predictive maintenance and asset usage maximization/optimization the benefits are huge: the transformation of any business into a smart business, increasing competitiveness also in mature markets; the creation of new innovative products and services; and the enablement of service prosumerization. To make this happen there are some key technology factors to consider during the implementation of an IoT architecture.

1. Reshaping Business Through IoT:
Key Technology Factors to Consider
12-10-2016
Roberto Siagri
Chairman & CEO Eurotech Spa

2. Eurotech's Global Footprint
JAPAN
ITALYFRANCEUSA
USA UK
Marketing and Sales
Development & Engineering
Production
2

3. Eurotech Overview
• One of the world top players in the global Embedded Computers market
• Behind the products & services of more than 20 Global 500 companies
• 20+ Years of experience in “M2M” and distributed systems
– 20+ Years experience in embedded / gateway hardware & software
– 16 Years ago co-developed MQTT with IBM
– 10+ Years experience with Java in embedded
– 6+ Years history in M2M/IoT cloud platforms
• Strong vertical market competencies:
– Industrial & Logistics
– Transportation
– Defense & Security
– Healthcare & Medical
3
Eurotech’s Essence

4. The Pervasive Computer
Machine-2-Machine / Internet of Things applications everywhere…
5

6. The Innovation Imperative
These forces
(together with the exponential growth of technology)
create environments increasingly vulnerable
to disruption

7. Companies in every industry need to assume that a
software revolution is coming… Marc Andreessen
Products Dematerialization
& Value Chains Deconstruction

8. GE CEO Jeff Immelt told his troops last year:
“If you went to bed last night as an
industrial company, you’re going to
wake up this morning as a software
and analytics company.”
Data and the 4^ Industrial Revolution
Data are the new raw material:
new source of innovation &
lever to achieve business sustainability.

9. Adoption and impact path of the Industrial IoT
10
1. Operational
Efficiency
2. New Products &
Services
3. Outcome Economy
4. Autonomous,
Pull Economy
Near-term
Long-term
World Economic Forum:
Industrial Internet of Things:
Unleashing the Potential of
Connected Products and
Services Jan.2015
Time
Change

10. Transition = Business Disruption
i.e.: New value creation
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11. Key Findings
• It will change the basis of competition, redraw industry
boundaries and create a new wave of disruptive companies, just
as the current Internet has given rise to Amazon, Google and
Netflix.
• However, the vast majority of organizations are still struggling to
understand the implications of the Industrial Internet on their
businesses and industries.
• For these organizations, the risks of moving too slowly are real.
12
WEF-ACCENTURE

12. Industry needs to combine IT and OT
IT OT
Internet of
Things
Information Technology
Business Process Automation
& Office Automation
Operational Technology
Industrial & Factory Automation
Supply Chain
Assets Monitoring
i.e:
Engagement
i.e.:
Predictive Maintenance
+
IoT is the fusion of IT & OT

13. The complexity trap in IoT
In need of a bridge between Distributed Things and Multiple Business Apps
Business
Applications
Sensors,
Actuators,
Displays, …
@
14
How to tame
complexity??
IT
OT

14. No more vertical M2M Applications
IoT = Horizontal M2M

15. IIoT Challenges
Is it enough to select some pieces?
HTTP
Server
HTTP
C++
SQL
DB
Broker
Open HW
Linux
More
Code
@
It might actually work, but is it:
• Maintainable
• Secure
• High performance
• Future proof
• Cost effective
• Reliable
• Extensible
• Agile

17. M2M / IIoT Challenges
High Level
Fragmentation
Complexity
Lock-in

18. Processor
Architectures
Mobile Carrier Offerings
Proprietary Technology
Business
Models
Programming Environment
Monolithic Solutions
M2M / IIoT Challenges
Some Details
Fragmentation
Complexity
Lock-in
IT Vendors Worlds
Carrier Certifications
Monolithic OT Solutions
Security
Little Pieces – No Stacks
IoT Platform
Inflation
Interfaces
IoT Standardization
Data Center Integration
Public Cloud / Private Cloud
IT/OT Integration
SIM Management
Embedded Application
Management
Scaling
Field
Protocols

19. Processor
Architectures
Mobile Carrier Offerings
Proprietary Technology
Business
Models
Programming Environment
Monolithic Solutions
M2M / IIoT Challenges
Addressing the Challenges – High Level
Fragmentation
Complexity
Lock-in
IT Vendors Worlds
Carrier Certifications
Monolithic OT Solutions
Security
Little Pieces – No Stacks
IoT Platform
Inflation
Interfaces
IoT Standardization
Data Center Integration
Public Cloud / Private Cloud
IT/OT Integration
SIM Management
Embedded Application
Management
Scaling
Field
Protocols
✔
✔
✔

20. Mobile & Web Apps
IoT platform
Public-Private
Cloud
The IT & OT Pyramids
Internet of Things = Things to Cloud
Telecom
Infrastructure
WAN Networks
SW Gateway
(Software Frameworks & software)
Gateways
CLOUD
IT
OT

21. Data Analytics, Predictive Tools
Enterprise-Class IoT Architecture & Stack
Core Competencies Combined
Multi-service Gateway
IoT Integration Platform

22. The Basic Formula for M2M / IIoT
Implementing a full “M2M Stack”
Business
Applications
Multi-
Service
Gateway
M2M
Integration
Platform
Application Software
Framework
Operating System
Hardware Platform
M2M Platform Client
Communication / Broker
Data Management Layer
API`s & Integrations
Data Store Layer
Infrastructure / IaaS
M2M
Protocol
Integrate
Act
Store
Connect
Attach

23. The Internet of Things
IIoT Implementations / Architectures 10 Key Aspects
• Agility (enabling real-time business decisions – real-time aggregated data for applications, historical
data, fast write speeds, CEP front end)
• Value-driven (preserving and extending value props – no “business normalization” but
encapsulating complexity, allowing to focus on core …)
• Openness (Open & Industry Standards based in technology, architecture, ecosystem and attitude,
IT-centric by design, no-vendor lock-in by proprietary in approach and technology)
• Flexibility (supporting diversity – down to the edge – HW, SW, type of applications, business
models)
• Versatility (“No-Silo-Approach” – readiness for current and future requirements – ESB for machines
concept – integration of field and IT applications without creating dependencies – different from “classic
telemetry”
• TCO-focused (including development, deployment, management, infrastructure, communication,
investment protection, future-proving, certifications)
• Security (complete approach in architecture and elements)
• Validation (continuous testing, validation, feedback and improvement ensured, strong ecosystem )
• Scalability (not just up but “out”, volume and diversity)
• Completeness (End-to-End complete OT stack, IT/OT integration, security, flexibility and efficiency
requires holistic approach, operating system for the IoT / IIoT)

24. Loosley
Coupled
Layered
Conteinerized
Architecture
-OPEN SOURCE
-STANDARD
-JAVA Programmable

25. Opportunities and benefits
made possible by massive volumes of data from connected
products, and the increased ability to make automated decisions
and take actions in real time.
The key business opportunities will be found in four major areas:
• Vastly improved operational efficiency
• The emergence of an outcome economy
• New connected ecosystems
• Collaboration between humans and machines
27

26. OT business opportunities
because of IT integration
• Predictive Maintenance
• Remote Assets Monitoring
Performance Management
• Operational Efficiency and
Productivity Gains
• New More Performing Products

27. IT business opportunities
because of OT integration
• Increase Customers
Retention and Fidelization
• New Business Models
• Products-as-a-Service,
• Pay-per-Use
• Monetization of Data

28. Re-Thinking
• Products
• Value Add
• Business Model
• Business Processes
30

29. Predictive Maintenance

30. With the Industrial Internet,
using new software capabilities to improve operational efficiency
through predictive maintenance, and achieving
results such as :
-savings on scheduled repairs (12%),
-reduced maintenance costs (nearly 30%)
-fewer breakdowns (almost 70%)
manufacturers are already

31. www.eurotech.com
Thank You!