EMC Solutions for the Internet of Things and Industrie 4.0 - Platforms (Handout EN) <<< OUT OF DATE - NEW VERSION AVAILABLE >>>

1
EMC Solutions for IoT and I4.0 (v3a EN, April 2016)
The purpose of this presentation is to introduce our (EMC's) understanding of the
current industrial revolution based around the Internet of Things and Industry 4.0.
We will explore the terminology, requirements, data/facts but also the differences and
similarities between the Internet of Things and Industry 4.0.
The Internet of Things (IoT) is not the same as Industry 4.0 (I4.0),
but both are key topics at the heart of the fourth industrial revolution.
Side note; Siemens calls the coming together of IoT and I4.0 “The Web of Systems”, or
WoS.
After the "WarmUp" we will take two application examples and look in more detail at
the IoT or I4.0 solution requirements, assessing the added values that we (EMC) derive
from the products and solutions we offer.
We will go into the following agenda points in detail for you. Let's take a look.

2
There are four agenda points to our first topics section; we will introduce the terminology,
entomology of terms, statistics (facts and figures) and the areas of use (Industrial Verticals
& Consumer, including two examples) of IoT and I4.0, to provide a basic understanding and
clarify the differences between these two industrial revolutions.
• Internet of Things (IoT) - Terminology
• Industry 4.0 (I4.0) - Terminology
• IoT / I4.0 - Areas of Use & IoT / I4.0 - Vertical Business Areas
• IoT - History, Figures, Facts, Perspectives
The second section is based around two application examples from the IoT and I4.0 sector
• I4.0 - Condition Monitoring - Terminology
• I4.0 - Operational Technology - The Pyramid
In our third section, we compare some striking IoT/I4.0 requirements to our EMC "values"
and solutions and various architectures to show how we can produce on- and off-premise
solutions.
Our data analytics diagram shows the individual infrastructure layer and service container
used within a big-data analytics farm.
• IoT / I4.0 = EMC Values
• EMC Solution Offering (+DELL IoT Solution)
• Data Analytics Infrastructure - Schema
The titles of our final two agenda points speak for themselves.
We introduce to you a "team" of firms that is unique in the IT industry, a team that can
pro-actively support you in meeting your requirements and with the migration to a cloud-
native infrastructure.
• Unique Team of Firms
• Why EMC?

3
Internet of Things
https://de.onpage.org/wiki/Internet_of_Things (original German source)
The "Internet of Things" (or IoT) is the concept of things, such as objects and people, being interconnected. The idea is that real-life objects will be able to independently share and
process information - without humans having anything to do with the data input stage. The Internet of Things is designed to automate information procurement for objects and simplify
our lives.
General Information
It is a vision that includes a network of intelligent objects, known as smart objects. These objects share and process information and conditions, thereby linking the virtual world with
our actual world. Areas in which we could use such applications are the environment, medicine, architecture, energy, transport, logistics, and digital media. Examples of such inter-
communicating objects include wearables, smartphones, smart homes and cities, and autonomous vehicles. In this context we also talk about augmented reality, ubiquitous and
pervasive computing, Semantic Web and Industry 4.0.
History
Kevin Ashton was the first to use the term "Internet of Things" in a lecture he gave at Procter & Gamble in 1999. He introduced the RFID chip into the company's value chain, and stressed the multi-
faceted interdependence of the computers relying on data input and the people who can only concentrate on data entry for a limited span of time and attention. RFID and other technologies in the world of
sensors and actuators enable computers to observe, identify, and interpret things and conditions in the real world.
Together with a number of researchers and experts, Ashton founded the AutoID Lab at MIT (Massachusetts Institute of Technology), which a) spurred on the development of RFID chips and b) popularized
the notion of the Internet of Things through research work. Over the course of time, the concept of IoT has been applied to a number of everyday objects; industry also took hold of it and developed
various scenarios, including the digitization and networking of entire value chains – from production to sales to customer service.
The ultimate aim of IoT remains to make the most effective use of existing resources, to save costs and use technology to enrich the world we live in. This is true both for the private and industrial sectors.
Types and Technical Requirements
As such, we can make a rough distinction between how IoT is used in our private lives and in industry, with many applications still in their infancy.
Internet of Things: The main areas of application are everyday objects, electronic devices, as well as the networking of these items with the use of Internet-like structures. Technically speaking, it is not all
about RFID chips and QR codes, but also Near Field Communication, wireless networks, cloud computing, the new Internet Protocol IPv6 as well as the latest control and sensor solutions in the form of
micro-controllers, transponders, sensors, and actuators. It is the symbiosis of sensors and other objects that is creating new possibilities in sharing and processing data.
Industrial Internet of Things: the main areas of application are industrial production and the extraction of resources, healthcare and medicine, as well as logistics, transportation, and distribution. We most
often talk about machine-to-machine communication (M2M) and Industry 4.0 to characterize IoT industrial or commercial applications. The objectives are to optimize operational processes, save costs, and
minimize risks to humans. Here, too, Internet-like structures are used for communication between objects, but these are not necessarily public systems open to all. Intranets and embedded and cyber-
physical systems often come into play, to link a production operation's hardware and software to its electronic and mechanical components, for example.
Examples
One example of a private application of the Internet of Things concept is the "smart watch", also known as a wearable, which can record the user's activities and analyze the data. This means the wearer's
fitness can be tracked and their health monitored, and enables other services and interfaces to similar devices, such as smartphones, laptops, and desktop PCs.
Smart grids or smart power grids are an example of the industrial Internet of Things These are intelligent distribution networks, which carry out the load management of energy production and
consumption. The energy from different power stations including solar, wind, bio-gas, and water, is distributed depending on end user consumption to level out supply peaks and make operation more
efficient.
Relevance in Practice
The Internet of Things has a number of different implications and consequences for our society and daily lives. This means that outputting data to certain devices is only advisable if the privacy of the user
can be guaranteed. Some experts criticize that the technical capabilities of inter-communicating smart objects make regulation necessary. Smartphones can send geo-based data to the manufacturer,
essentially allowing them to track the wearer. These services are integrated into many end devices and can be stopped only by the user casting a critical eye over the relevant settings.
The security of the systems also comes into question. The more interfaces a system has, the more chance there is of abuse. Certain system architectures not only open various doors for hackers, but also
mean product providers can fully track their users. As such, data protection is also a topic that is preoccupying a number of experts. Particularly in industrial applications in energy, production, medicine,
and logistics, these systems are subject to increased security requirements to avoid abuse.
As with many technological developments, we also need to have standards to allow communication between different objects in the first place. The Internet of Things is not a genuine development that
came about from a few services and components. It was rather the result of simultaneous efforts in different research areas, enabling specific technologies to be integrated and objects to inter-
communicate.
What This Means for Online Marketing
Whether Apple, Amazon, Microsoft, or another technology company, almost all the big players research, develop, and produce IoT applications to pursue innovations such as these. Analysts believe that by
2025 the Internet of Things will be an 11 trillion dollar market. These estimates are based largely on industrial applications, smart cities, healthcare, and the sales sector.
The latter is an area that is especially relevant to online marketing because the Internet of Things will produce high volumes of data that manufacturers can use to personalize products. The degree of
personalization will reach extreme heights, making advertising more relevant and individually tailored. These data, collected by smart objects, also allow procedures such as predictive modelling, to predict
future customer behavior, and smart customer relationship management, which automates the dataflow.
In the reverse case, this means a potential increase in customer lifetime values: when businesses use customer feedback in the form of data, they can respond almost in real-time and invest that
knowledge from the dataflow into customer loyalty. Ultimately this increases the customer lifetime value and customer loyalty. Naturally, these positive expectations must be accompanied by the
consideration of sensitive issues such as data protection, privacy, or the technologies behind them, such as Big Data and Data Warehouses.

4
The Fourth Industrial Revolution: On the Path to Smart, Flexible Production
http://www.plattform-i40.de/I40/Navigation/DE/Industrie40/WasIndustrie40/was-ist-
industrie-40.html
In Industry 4.0 production interlinks with the very latest information and
communication/operations technology. The driving force behind this development is the
rapidly increasing digitization of our economy and society. It is changing the way Germany
(and the world) will produce and work in the future, forever: after the steam engine,
conveyor belt, electronics, and IT, it is now smart factories that are leading the fourth
industrial revolution.
The technical basis for this are smart, digitally networked systems, which can help create
the most self-sufficient kind of production line: in Industry 4.0, people, machines, plants,
logistics, and products communicate and cooperate directly with one another. Production
and logistics processes between companies in the same production process are intelligently
interlinked to make production more efficient and flexible.
This gives rise to smart value chains, including every phase of the product lifecycle – from
its conception to development, production, use, and maintenance, right through to
recycling. Customer wishes can be considered every step of the way; from the product idea
to recycling, including related services. It will be easier than ever for companies to make
customized products according to individual customer requirements. Individualized
production and maintenance of products could become the new standard.
What is more, production costs can be reduced despite personalized production. By
networking businesses in the value chain, we can optimize not just one production step, but
the entire value chain. If all the information is available in real time, a company can
respond early to the availability of specific raw materials, for example. Production processes
can be controlled across the business so as to save resources and energy.
Overall, production efficiency can grow, the competitiveness of industry in Germany can be
strengthened, and the flexibility of production increased.

5
It is not only our habits or activities, like how we consume services on our smartphones and
the social media available on it, that produce the mass of data.
According to the Intel study, the mass production, mass communication, and mass analysis
of data are to be found in production, in the public sector (healthcare), retail, but also utility
services (electricity, water, heat).
This slide comes from a DELL and INTEL-sponsored IoT presentation, which was published
in the DELL/INTEL Insider Portal.
http://www.expertenderit.de/dell-IoT-fakten-
zahlen?utm_campaign=Dell%20AlwaysOn%20Kampagne&utm_medium=PPT%20Folien%20
IoT&utm_source=CW
Click here to go to the Insider Portal (in German):
http://insider-portal.pcwelt.de/
Inside IoT Landing Page:
http://insider-portal.pcwelt.de/p/internet-der-dinge,4211

6
In How Many Vertical Business Areas is IoT/I4.0 Used?
For a first look from 10,000 meters, this table shows a selection of applications and
their benefits for users or the general public.
Across all the applications, we can define a basic sequence of "actions" that are
crucial to an IoT/I4.0 process chain:
• Measure
• Identify
• Indicate
• Act
• Save
• Accelerate
• User Experiences

7
This diagram by Libelium is a good illustration of where the Internet of Things is
infiltrating the smart world.
These include areas we see and use in public all the time (e.g. smart lighting, smart
parking, smart roads).
However, other smart world/city areas remain hidden, such as smart solutions in
structural health, water quality, water leakages, air pollution, smart grid, etc.
The number of smart applications will continue to rise and catch on in many areas
of our everyday lives.

8
Two "agricultural" examples from Libelium
The smart beehive (monitoring hives)
The smart plantation (monitoring individual plants and entire plantations)
As well as special sensors (see below), these solutions are also based on a communications network and cloud
services.
The Libelium website gives references to where such solutions are now in use, as well as technical information
about the products.
https://www.libelium.com
10 Models - More than 80 Sensors
http://www.libelium.com/products/plug-sense/models/
Sensors (sample):
Carbon Monoxide (CO)
Carbon Dioxide (CO2)
Molecular Oxygen (O2)
Ozone (O3)
Nitric Oxide (NO)
Nitric Dioxide (NO2)
Sulfur Dioxide (SO2)
Ammonia (NH3)
Methane (CH4) – and other combustible gases
Molecular Hydrogen (H2)
Hydrogen Sulfide (H2S)
Hydrogen Chloride (HCl)
Hydrogen Cyanide (HCN)
Phosphine (PH3)
Ethylene Oxide (ETO)
Chlorine (Cl2)
Particle Matter (PM1 / PM2.5 / PM10) - Dust Sensor
Temperature
Humidity
Pressure
...and many more. See Libelium web site for more sensor variations and application areas.

9
The refrigerator, its name is BOSCH and it is very smart.
It is networked and knows the Facebook, Twitter, and WhatsApp accounts of its "users".
It also knows the TV schedule and has links to a smart beverage dealer in the city.
Now, the smart fridge (BOSCH) knows from its user's Twitter account that he has invited
friends over to watch the match and syncs this with the smart TV (its name is SAMSUNG).
...Got it! Channel 1 is showing the cup tie between FC Bayern Munich and FC Nurnberg.
(for presentations in North Germany, use the reference: Hamburger SV against St. Pauli)
BOSCH checks its stock.
"Bad news!"
"...out of beer!"
A quick look at its user's Twitter account to see which friends are coming tonight.
Then a cross-check with Facebook to see what the friends like to drink.
OK. Its user and two of his friends like to drink Flensburger and two friends like to drink
Augustiner.
(Speaker note: For international audience choose a beer of your choice like Samuel
Adams, Foster, Tiger, Guinness, Heineken Coors, Becks, Anker, Corona, Bud, ….and so on.)
Now BOSCH links up with the popular and smart beverage dealer called "Never go thirsty
again" and orders a crate of Flensbuger, a crate of Augustiner, and six bottles of Prosecco
(Prosecco??).
Chilled delivery booked for 7 p.m. this evening
<Ordered-Paid-Enter, Order dispatched, Delivery confirmed>
BOSCH informs its user on Twitter that it has saved his soccer evening....
(...and at the same time invited the new, football-crazy neighbor and four of her friends ...
hence the Prosecco ;-) )

10
Libelium Application Areas
http://www.libelium.com/top_50_iot_sensor_applications_ranking/
What other smart applications are there?
This list is there to raise awareness about where else IoT can be used.
Speaker note: Choose two or three areas as examples which you feel comfortable
talking about.
We are constantly finding new applications and use cases to integrate into the IoT
smart world.

11
Slide has automated animations! No manual click needed!
...and if not ...we (EMC) can help you.
IoT / I4.0 use cases can be found in every vertical line of business.
Here is a selection.
Whether you look inside "verticals" such as mining or aircraft construction...
I4.0 use cases have been operated here for some time and a number of new ones
identified and implemented.
For example, smart tools that know their precise location and purpose are used in
aircraft construction.
If a technician uses a specific tool in an unauthorized area of production, the appliance
can simply switch itself off (or the technician cannot even get to use this tool in that
place; It won't switch on in the first place.)
Likewise, certain power tools may not be carried in all areas. In aircraft maintenance,
only explosion-proof devices may be used, because there may be kerosene fumes and
other explosive vapors in the aircraft service hangars.
For more information on this:
>> BOSCH Track & Trace Testbed (Industrial Internet Consortium)
>> http://www.iiconsortium.org/track-and-trace.htm
>> http://blog.bosch-si.com/categories/manufacturing/2015/02/first-european-
testbed-for-the-industrial-internet-consortium/
Every business has or at least should be thinking about starting its own IoT/I4.0
application areas within the company or for its products.
(Wherever logical, of course. A smart yoghurt pot with Internet access that reports the
exact number and condition of its yogurt cultures before you open it is probably going
too far).
...and if you haven't started thinking about IoT/I4.0 applications yet?
<click> next page

12
...and if not ...we (EMC) can help you.
IoT / I4.0 use cases can be found in every vertical line of business.
Here is a selection.
Whether you look inside "verticals" such as mining or aircraft construction...
I4.0 use cases have been operated here for some time and a number of new ones
identified and implemented.
For example, smart tools that know their precise location and purpose are used in
aircraft construction.
If a technician uses a specific tool in an unauthorized area of production, the appliance
can simply switch itself off (or the technician cannot even get to use this tool in that
place; It won't switch on in the first place.)
Likewise, certain power tools may not be carried in all areas. In aircraft maintenance,
only explosion-proof devices may be used, because there may be kerosene fumes and
other explosive vapors in the aircraft service hangars.
For more information on this:
>> BOSCH Track & Trace Testbed (Industrial Internet Consortium)
>> http://www.iiconsortium.org/track-and-trace.htm
>> http://blog.bosch-si.com/categories/manufacturing/2015/02/first-european-
testbed-for-the-industrial-internet-consortium/
Every business has or at least should be thinking about starting its own IoT/I4.0
application areas within the company or for its products.
(Wherever logical, of course. A smart yoghurt pot with Internet access that reports the
exact number and condition of its yogurt cultures before you open it is probably going
too far).
...and if you haven't started thinking about IoT/I4.0 applications yet?
<click> next page

13
...and if not...we (EMC) can help you.
We at EMC are happy to help you and with our partner Eco-System will find your
path into the world of IoT/I4.0.
Speaker Note: If you want to skip the following slides 13 – 31 and directly jump to
our EMC values, solutions, architecture and platforms, then go to page 32.

14
Let's now look at a few facts, figures, influences, viewpoints, and outlooks
regarding the Internet of Things.
We'll look at the segments in which IoT growth is particularly pronounced and what
kind of growth potential the Internet of Things can offer us.
Both the industry and the end user.
Let's jump to the figures ;-).
The following slides are from a DELL and INTEL-sponsored IoT presentation,
published in the DELL/INTEL Insider Portal .
zahlen?utm_campaign=Dell%20AlwaysOn%20Kampagne&utm_medium=PPT%20F
olien%20IoT&utm_source=CW

15
This slide comes from a DELL and INTEL-sponsored IoT presentation, which was
published in the DELL/INTEL Insider Portal.

16

17

18

19

20

21

22
Verizion Smart Lighting
http://news.verizonenterprise.com/2015/06/smart-lighting-cities-power-verizon/
Smart Lightning by Illuminating Concepts – Intellistreet Solution/Concept
http://www.illuminatingconcepts.com/intellistreets/
published in the DELL/INTEL Insider Portal .

23

24

25

26

27

28
After all those figures, stats, viewpoints and outlooks as well as growth potential,
let's now look at a practical example from the industry.
Scheduled Maintenance
Predictive Maintenance
Condition Monitoring
These are just three names for a use case that can be applied to almost all
"machines" with complex elements (electrical and mechanical).
Let's look first at the terminology of the scheduled maintenance.

29
Sample terminology and interpretation of what is condition monitoring.
Other buzz-words around this terminology could be:
- Predictive maintenance
- Data-driven services
- Internet of Things
Plant Asset Management (PAM) is the management of a company's capital assets
that are specifically used for production.
Plant Asset Management aims to run the maintenance and repair of fixed assets,
but also to optimize the use of the assets in place, in other words to expand the use
potential. Plant Asset Management systems in automation technology provide
functionality for the administration and better use of physical assets.
The following diagram gives an example, <click>

30
Imagine one production line for cars, engine, refrigerators, electrical components, food (beer), lawn mowers,
window panes, plastic bags, etc. etc.
And products made for the consumer such as cars (connected cars), refrigerators, heating systems, elevators,
escalators, home automation, etc. etc.
Sensors all over the place.
For the operator of a gas turbine and generator (power plant) there is nothing worse than an unscheduled outage.
Which is why component manufacturers are trying to capture the state of the system (in real time) with maximum
precision using the smart analysis of sensor data, to then detect anomalies and signal to the operator to arrange
an early service intervention to replace a component, or completely replace a part before it fails or causes even
more damage in the overall system.
Ideally, the analysts will be able to signal to the operator to stop running the machines and that the 1-week
service window planned for next weekend is canceled.
This is a sample view of a turbine/generator infrastructure to get an overview of the different sections and the
different measurement elements that are equipped with "many" sensors.
You can copy this schema to other industrial or power generation environment too, e.g. Wind turbines, ore
crusher, production plants, steel mills, etc. etc.)
Sample terminology and interpretation of what is condition monitoring.
The goal of condition monitoring is to catch hardware failures or operational anomalies before they
reach the existing control system alarm limits.
Early detection of these types of events or conditions can potentially prevent engine trips, forced
outages, and additional impacts.
The alarm limits are customized to each unit by analyzing the specific characteristics of the engine in
an evaluation period.
Continuously monitoring machinery is fundamental to plant asset management. Understanding the
mechanical behavior of rotating machinery brings many benefits.

31
This image shows the levels and schematic electrical/mechanical components within a modern, fully-automated production line.
• At the lowest level, the field level, you have the very heart of the production machines, where the motors, actuators, switches, temperature sensors,
flow sensors, valves, signals, etc. etc. are.
• The components of the field level are controlled by the level above. I.e. an actuator must be put in the right position or valves opened/closed
according to the production process. At operation level, motors are specifically controlled to move glowing slabs through the roller at the steelworks,
for example.
• At operational level, monitors and controls are used within production at manufacturing plants.
This level is used for the specific control and monitoring of production processes and offers control possibilities at each production step in the
manufacturing process.
• At management level, all the production information flows together in the control center.
The console drivers (what we call people in the control center, aka controllers) watch the processes and manually intervene if necessary. This is also
where new processes (e.g. when changing production or to program in a new yoghurt recipe) are entered in the so-called batch/engineering server,
tested and then transferred to the appropriate programmable controls at control level.
• The analytics level is for the separate analysis of production (process optimization, energy management, etc.) but also for specific predictive
maintenance. This level is optional because the required sensor data can be picked off as low down as the control and operations levels, using an IoT
gateway, and then analyzed off-premise (predictive maintenance and analytics as a cloud approach).
• At business level we have the CAD/PLM systems, SAP, production planning, marketing, and service, as well as plenty of other applications that are
required by industrial sector as a product is developed.
An example product workflow from the marketing department to production (e.g. a yogurt pot) goes like this:
1) At "business level" the Marketing department discusses a new design of yogurt pot.
The yogurt product "Tastes Good" is loved by customers because of its natural taste,
but the design of the yogurt pot and the handling of the lid are outdated and are considered impractical
2) As such, the Marketing department looks to its competitors to research how they can attract customers with new and practical types of tub.
3) The designer presents his designs to the Board and brings the first prototypes with him, which he made using a 3D printer.
4) The design is ok and aproved.
5) The productio nteam cross check the CAD/CAM files and compiles them into the automation code of the used PCS systems
In regular these steps are done automaticaly from the PLM CAD/CAM system and the used PCS BATCH processes are generated and transfered into the PCS system.
(*) Manufacturing Execution System (MES)
A manufacturing execution system (MES) is a control system for managing and monitoring work-in-process on a factory floor. An MES keeps track of all
manufacturing information in real time, receiving up-to-the-minute data from robots, machine monitors and employees. Although manufacturing
execution systems used to operate as self-contained systems, they are increasingly being integrated with enterprise resource planning (ERP) software
suites. The goal of a manufacturing execution system is to improve productivity and reduce cycle-time, the total time to produce an order. By integrating
an MES with ERP software, factory managers can be proactive about ensuring the delivery of quality products in a timely, cost-effective manner.
Who supplies solutions, hardware and software to the various levels?
Siemens SIMATIC brochure: the integrated automation system for the manufacturing industry:
https://www.click4business-supplies.com/resources/articles/e20001-a830-p200.pdf
Other providers of automation solutions are:
Johnson Control
Rockwell
ABB
General Electric
Schneider Electric
ALSTOM
EMERSON
Honeywell
Yokogawa
Endress+Hauser
Phoenix Contact

32
No matter what the product, whether it's the yogurt pot made from plastic, a car, a golf club, a sneaker, a
smartphone, or even a complete industrial system, it always starts with an idea and the development of
the product, before it is produced and delivered to the end customer.
Which of our customers’ departments do we need to be familiar with and establish contacts?
• Research & Marketing
• Service departments
• Development and Testing
• Production (+ Production Planning, Service area for Production > Predictive Maintenance for
production systems)
• Distribution/Sales (? ... if necessary together with the Service Department in case of IT-based value
added services that are offered as part of or with the product)
• Customer Service (in many cases the Service Department again)

33
To show you how EMC can participate and support you within your existing or
upcoming IoT/I4.0 project(s) we match several IoT/I4.0 requirements with our EMC
values first.
Then we build the solution offerings using several schemas and diagrams so that
we can focus on all oder partial sections within an IoT infrastructure you need.

34
In this table we match several IoT requirements with our EMC values to give you a
first impression of the areas in which we can offer solutions.
Speaker Note: Take your time an present every single requirement and
corresponding EMC value(s).
Ask the audience if they agree with this set of requirements or if they have seen
other requirements wihin their eco-system of businesses.

35
Slide has automated animations! One click needed!
From left to right
Sensors deliver different information about a condition of a component (e.g.
temperature, pressure, rpm, position, vibration, power, log data, etc. etc.)
This data will be transferred to the process control system and over the industrial
communication layer to a centralized or decentralized IT infrastructure (like EMC
can offer).
Within the IT infrastructure, different services and applications are used to store,
control, and analyze the vast amount of sensor data.
Additional services/applications are used to offer the corresponding customer new
value services (e.g. Regular reports, web based analytics reports, etc.)

36
From left to right
Sensors deliver different information about a condition of a component (e.g.
temperature, pressure, rpm, position, vibration, power, log data, etc. etc.)
This data will be transferred to the process control system and over the industrial
communication layer to a centralized or decentralized IT infrastructure (like EMC
can offer).
Within the IT infrastructure, different services and applications are used to store,
control, and analyze the vast amount of sensor data.
Additional services/applications are used to offer the corresponding customer new
value services (e.g. Regular reports, web based analytics reports, etc.)

37
Same schema as before but here we are in the 3rd platform
IaaS and PaaS are the buzz-words to show you that EMC partners with global
service providers to offer you flexible and optimized cloud solutions.
>>> Speaker note: Here you could introduce our EMC ECS solution to the customer
as an optimal solution for analytics and cloud-based solutions.
Long-term and known partners are e.g. AtoS and Canopy.
AND our own service offerings by VIRTUSTREAM

38
This is a sample schema of a remote service infrastructure (illustrated view).
Starting on the upper left side, different kind of components (motors, gears,
CT/MRT, meters, etc. etc.) send sensor data over a secured connection to a central
customer service center (or cloud provider).
Data will be stored and analyzed by using EMC/Pivotal solutions.
The results will be used by the service engineers to send reports or other
information back to the customer.
Or the customer can log in to a portal to get updates on their environment
(predictive maintenance reports, etc. etc.)

39
Speaker Note: Additional slide. Use this slide tif you want to show the audience
that DELL and in near future DELL & EMC are a one stop shop for IoT/I4.0
solutions, services and products.
DELL Internet of Things Schema. For further information goto:
http://www.dell.com/en-us/work/learn/internet-of-things-solutions

40
There are other providers of IoT gateways and IoT solutions, e.g.:
• SIEMENS (Connector Box, Cloud Gateway, based on SIMATIC IPC)
• INTEL (http://www.intel.com/content/www/us/en/internet-of-things/gateway-solutions.html)
• VODAFONE (http://www.vodafone.com/business/m2m/integrated-m2m-terminals)
• SCHNEIDER
• ABB
• and many more.
Further example - SIEMENS: The non-proprietary cloud connection of machines
and systems with the SIMATIC IOT2000 gateway - Siemens drives forwards the
development of its open platform "Siemens Cloud for Industry" (MINDSPHERE &
SINALYTICS) as the basis of new digital business models for industry. The new IoT
gateway IOT2000 is a Simatic IPC-based cloud gateway, which enables the easy
and safe capture and transfer of machine and system data in the cloud. With it,
Siemens and other vendors can capture and transfer data from controllers or drive
systems. In the future, this functionality will also be integrated in communication-
capable products from the Siemens industrial portfolio. The data will then be ready
for analysis on the platform that uses SAP HANA cloud platform solutions.
General Electric (PREDIX CLOUD): https://www.ge.com/digital/predix

41
Lets have a view to an IoT platform sample.
It is an abstract first look of the sections within an IoT platform, including (bottom to top):
1) Data End Points and IoT Gateways
2) Device Data IoT Data Lake Analytics with real-time, near-real-time analytics container
3) Cloud services like IaaS, PaaS and DevOps for IoT application development
4) End-to-End Security
5) Connectivity for integrations into external systems (e.g. ERP, PLM, etc.)

42
Here a more detailed IoT platform view and split of the logical infrastructure elements into
containers with its corresponding set of application stacks and services:
1) Customer Applications Container (IoT Applications)
2) Data Analysis Container (Analytics)
3) Big Data (Data Lake) Container
4) Management & Security Container
5) Virtualization / Micro-Services Container
6) Infrasturcture Container (Server, Storage, Network, DR, Backup, ....)
Within each container different applications, tools and solutions could be found:
Example 1: Within the Customer Applications container applications like MS SQL, Apache,
IIS, SharePoint, Domain-Controller or customer specific applications could be found
Example 2: Within the Data Analysis Container data mining tools like KNIME, R,
MapReduce, RapidMiner, SAS, etc. etc. could be implemented.

43
All EMC Federation members can deliver solutions and products for all of the IoT infrasturcture containers.
Speaker Note: Choose some of our solutions or products to talk about with the audience. If the audience is interested to hear more details about a specific product schedule an other
meeting and bring our specialists into the meeting.
1) Customer Applications Container (IoT Applications)
• With our aprox. 2,000 of the world’s top developers, engineers, consultants, and professionals Pivotal Labs can support you in developing your IoT software
• Pivotal Cloud Foundry enable cloud native concepts and delivers a modern application development and operations environment that lets your developers focus on generating
value for customers.
• Pivotal GemFire is an in-memory data grid powered by Apache Geode. Pivotal GF is often employed to provide enterprise-wide caching of application data, spanning multiple
clouds or data centers. These are applications that need to provide real-time responses and maintain consistency of data while processing many parallel transactions, often with
high availability.
• Pivotal HAWQ is a parallel SQL query engine that combines the key technological advantages of the industry-leading Pivotal Analytic Database with the scalability and convenience
of Hadoop.
HAWQ reads data from and writes data to HDFS natively. HAWQ delivers industry-leading performance and linear scalability. It provides users the tools to confidently and
successfully interact with petabyte range data sets. HAWQ provides users with a complete, standards compliant SQL interface.
2) Data Analysis Container (Analytics)
• EMC supports and cooperates with several analytics engine vendors like KNIME, rapidminer, SAS. Also DELL has an on analytics suit „Statistica“ in place. DELL aquired Statsoft
2014.
3) Big Data (Data Lake) Container
• Pivotal Greenplum DB is an advanced, fully featured, open source data warehouse. It provides powerful and rapid analytics on petabyte scale data volumes. Uniquely geared
toward big data analytics, Greenplum is powered by the world’s most advanced cost-based query optimizer delivering high analytical query performance on large data volumes.
• To truly unleash the power of Apache™ Hadoop® for business insights and predictive analytics, you need SQL. Hadoop Native SQL with Pivotal HDB, powered by Apache HAWQ
(incubating), represents a new generation of high performance, advanced analytics and machine learning that transforms Hadoop into an enterprise analytical database. Move and
analyze entire workloads, while simplifying management and expanding the breadth of data access and analytics, all natively in Hadoop.
4) Management & Security Container
To secure the virtualized/cloud-based IoT environment and the corresponding stored end-point data, EMC/RSA can deliver security products for different security requirements.
RSA Data Protection Manager manages keys for CloudLink SecureVM solutions, providing on-premise/in-enterprise key management for secure virtual disk encryption in public, private
or hybrid clouds. (But take care! This product Suite is not available for selling any more)
RSA VIA Access delivers secure access to cloud and mobile applications without creating roadblocks for users.
RSA VIA Governance automates the monitoring, certification, reporting and remediation of entitlements to ensure appropriate access.
RSA VIA Livecycle delivers a streamlined request, approval, and fulfillment process with embedded policy controls.
RSA Archer Governance, Risk, and Compliance (GRC) delivers several security solutions for:
• IT and Security Risk Management - To address the complex digital risks today, your organization must establish business context and policies for IT and security and manage IT
risks, vulnerabilities, and security incidents.
• Enterprise and Operational Risk Management - Bring risk information together from siloed risk repositories to identify, assess, evaluate, treat, and monitor risks in one central
solution.
• Regulatory and Corporate Compliance - An integrated approach ensures controls are defined, implemented and measured to meet constantly changing compliance obligations.
• Audit Management - A consistent, risk-based approach drives greater efficiency in the execution of your audit program.
• Business Resiliency - An integrated approach to business resiliency will lessen the impact of disruptions and crisis events on your organization.
• Third Party Governance - Manage your third party relationships and engagements while reducing risks and monitoring performance.
5) Virtualization / Micro-Services Container
Vmware as our main virtualization „partner“ we can offer great products like vSphere ESX, vRealize, VSAN, etc. etc.
But not only products are the choice of offering. Together we can built a federated enterprise hybrid cloud with predefined working sets to deliver a flexible platform where you can build
a privat and public cloud solution stack as you need.
6) Infrastructure Container (Server, Storage, Network, DR, Backup, ....)
For the specific workloads and performance requirements we can choose and offer the right product(s).
For real-time low latency analytics with small data sets we can choose all flash systems like DSSD or XtremIO.
For real big data lakes (or big data oceans) our ISILON and ECS scale out storage systems are the right products.
If backup is needed, lets talk about Networker, DataDomain, etc.
And! If the customer needs a open, flexible and agile platform for software development, NEUTRINO will be the solution.
7) VCE
VCE, the converged platforms division of EMC, is the world market leader in converged infrastructure and converged solutions. VCE accelerates the adoption of converged infrastructure
and cloud-based computing models that reduce IT costs while improving time to market. VCE delivers the industry's only fully integrated and virtualized cloud infrastructure systems,
allowing customers to focus on business innovation instead of integrating, validating, and managing IT infrastructure. VCE solutions are available through an extensive partner network.
8) VIRTUSTREAM
Virtustream is the enterprise-class cloud software and services provider trusted by enterprise customers worldwide to migrate and run their mission-critical applications in the cloud.
With advanced features such as consumption-based billing and embedded µVM (micro-VM) technology for assuring application-level SLAs, enterprise customers rely on Virtustream’s
cloud services to reduce overall costs, turn capital expenditures into operational expenditures, and increase efficiency to free up resources across people, capacity and budgets.
Virtustream’s xStream software is used by enterprises to operate secure private clouds and by service providers worldwide to offer enterprise cloud services to their customers.

44
Slide has animations! Animations start automatically!
Traditional IT processes are no longer adequate. A software-defined data center lets IT build horizontal IT
capabilities across the infrastructure – even outside of your premises to hybrid cloud architectures. SDDC then
enables IT-controlled, self-service platform delivery to the business units and application developers to meet their
immediate response requirements.
This new IT agenda is why we created a EMC Team Of Companies, comprised of EMC, VMware, Pivotal, RSA, and
Virtustream each with a specific mission, but all strategically aligned to deliver 6 solutions based on the new IT
agenda.
These solutions can be deployed in your onsite data center, or at a service provider's site, through solutions like
the vCloud Hybrid Service from EMC and VMware.
Although better together, each of the Team members (companies) is free to perform their work, partnering outside
of the Team to ensure customers can choose the combination of solutions that best meets their needs.
Through this innovative model, we provide 1) best-of-breed solutions for the new IT agenda and 2) customer
choice with no lock-in.
To satisfy customer needs, EMC is taking a fundamentally different approach. Yes, we are building a stack, but we
are building a horizontal stack.
We are building these layers of technology – the information infrastructure (principally the storage business), the
software-defined data center from VMware, the Pivotal platform for cloud, big data apps and we're building these
as horizontal layers. Each one has to be best-in-breed and the market leader in its horizontal space and you have
to play equally well with everyone else in the industry, not just the technology that sits inside the bigger EMC.
This is a fundamentally different approach. Not only have we taken this approach, but we built the company this
way. The three primary businesses within EMC are the EMC Infrastructure business which I run that also includes
RSA, the VMware business, and Pivotal.
It's more than just having management structure set up that way. We also have our capital structure set up that
way. In addition to EMC being public, we have taken a piece of VMware public that demonstrates our commitment
to driving that as a business with an eco-system that supports it, and at the right point in time, we will take a
piece of Pivotal public as well.
This is more than a marketecture. This is how we structure our company from a management structure viewpoint
and a capital structure viewpoint.
We believe this gives our customers much more choice and much more freedom to use our technology
interchangeably as best-of-breed (hopefully with other parts of the group), but not be penalized for using things
from outside the group. This is perhaps a subtle concept, but for our customers it is very powerful and very
important. It lets them look at us through a different lens from the traditional mainline stack vendors.

45
Why choose EMC?
Bullets
 These six companies … more value, as we operate better together.
 Together, we offer …
 Fastest path to the cloud
 First class support … joint lab; testing joint solutions
 Choice and flexibility.

46

47
Here you can find some additional and optional slides you can use for your
presentation to the audience, depending of the focus theme.

48
Some additional information and web links to corresponding IoT lecture.
This list contains additional information around the IoT bussines, trends and
examples from companies that offers IoT/I4.0 solutions/services.
On EMC Inside@EMC you can find more information within our IoT space:
The Internet of Things in Vanguards Communities
https://inside.emc.com/groups/vanguards-community/projects/the-internet-of-
things/overview
451 Research - Defining IoT, M2M and the ties to industrial automation and OT/IT
convergence - Part 1 & 2 (March 2015)
https://inside.emc.com/docs/DOC-199756
CISCO - Transformation to a Next Generation IoT Service Provider (2015/2016)
Deloitte University Press - Inside the IoT - A primer on the technologies building
the IoT (August 2015)
Gartner - Maturity Model for the Internet of Things (March 2016)

49
Some additional information and web links to corresponding IoT lecture.
This list contains links to companies that offers IoT/I4.0 solutions/services.
On EMC Inside@EMC you can find more information within our IoT space:
The Internet of Things in Vanguards Communities
https://inside.emc.com/groups/vanguards-community/projects/the-internet-of-
things/overview
451 Research - Defining IoT, M2M and the ties to industrial automation and OT/IT
convergence - Part 1 & 2 (March 2015)
CISCO - Transformation to a Next Generation IoT Service Provider (2015/2016)
Deloitte University Press - Inside the IoT - A primer on the technologies building
the IoT (August 2015)
Gartner - Maturity Model for the Internet of Things (March 2016)

50
Slide has automated animations. Starts automatically.
This is a view with a higher level of detail with respect to the slide with the
Automation Layer Pyramid.
In this example, the SIEMENS Totally Integrated Automation solution is shown in all
its levels.
From the ERP to field-level components segments and the network groups are
represented.
EMC and DELL can offer a holistic solution for Data Analytics in production and
manufacturing (Smart Factories).
From the ERP system to the product development with different PLM suites (e.g.
Siemens PLM Teamcenter, NX, Dessault CATIA, Windchill, PTC, etc.) and go further
to the data analytics for optimiztion of the production workflow or predictive
maintenance using the DELL Edge IoT gateway.

51
This slide shows an IoT enabled product which was so far only used to illuminate
our streets or walkways. A smart streelight by Intellistreets.
There are several other companies offering such kind of smart streetlights but the
flexibility and additional feasture set of this street lantern is unmatched.
Intellistreets opens a completely new opportunity for sustainability, security, &
entertainment. The system is a single, low cost scalable network on one Common
Operating Platform. The entire system communicates wirelessly through multi-
patented technologies. Utilizing existing power infrastructure, Intellistreets
processors facilitate full multi-media and unique environmental analysis for urban
areas, campuses, waterfronts, borders, Federal buildings and stadia. Achieves a
70% lighting energy reduction. Extends lamp life to 10 years and beyond.
Lower maintenance cost through self diagnostics. Homeland Security features are
embedded in the system. Mass notification, emergency evacuation routing,
emergency call stations, CBRNE attack notification, visual analysis and digital
signage. This development tool for “Place Making” creates an immersion experience
for college campuses, parks, retail shopping districts, stadia and convention
centers. The systems processors provide background music, public announcements,
and digital messaging.
Energy savings, including self-diagnosing maintenance, LED lamp life extension and
decreased operational expenses makes Intellistreets a value proposition.
Incorporating potential revenue streams, such as advertising, makes Intellistreets
the most cost-effective infrastructure improvement on the market.

52
Within an IoT/I4.0 solutions stack you can find several partial segments that will
interact with each other.
After defining your strategy, service or new offering you can split the IoT/I4.0 stack
into two main levels:
• Sensor Level
• Analytics Level
Both levels contains hardware and software based solutions.
If we have a look to the software, what kind of applications you need?
1) Sensor Management Software (e.g. Traffic control, Connectivity status, firmware
updates if needed, security, callibration, etc.)
If the sensors are all already managed and controlled by an centralized Process
Control System (PCS) a sperate management software is not needed
2) For the transmission may you need a gateway that acts as an translator
between the sensors network (sensor protocols) and your IP based analytics
infrastructure
3) For the aggregation and analytics segment you have to choose a analytics
engine like KNIME, R, RapidMiner, etc.
In interaction with the analytics engine you need a data lake storage system like
Hadoop HDFS ready systems EMC ISILON and EMC ECS
4) For the reporting and further activities you need applications like: WFM
(Workforce Management), CIS (Customer Information System), etc.
5) If your IoT Service contains a end-user / customer section you need a „user
app“ for the user experinces (like car apps, .....)

53
After you have built your base IoT/I4.0 strategy and first business plan of your new
service, one partial project will be to plan and design the sensor network.
First you have to identify existing sensors in your environment you can use for your
IoT/I4.0 project.
This could be sensors that are already installed within manufacutring machines,
engines, vales, buildings, etc.
If your use case is a new one or for an environment that do not have any sensors
installed yet, you must highlight the following selection criterias.
1) What kind of physical reading you need for your solution?
Or log data from existing machines. e.g. POS systems, ATMs, onboard
computer, video cameras, RFID readers, etc.
2) In which environment you will install the sensors?
Do you need an independent power supply?
Is the sensor installed in a harsh environment (temperature, humidity, dust,
vandal protection, etc.)
3) How can you connect the sensors to an secure network?
4) Cost of sensor maintenance and recalibration services (if needed)
5) Vendor independence of the used machineries within a manufacturing plant /
factory

54
IoT gateways close the gap between devices in the field and the IoT platform (on-
or off-premises), where data is collected, stored and analyzed by IoT based
applications.
In general IoT gateways, provide a bidirectional communication between the field
and the IoT platform.
Advanced IoT gateways could offer additional functionalities like local processing
and storage capabilities to provide offline services and almost real time control over
the devices in the field. (Analytics at the edge)
Key functionalities include a wide array of secure connectivity solutions through
cellular, Wi-Fi, Bluetooth, Zigbee and other IoT network protocols.

55
Sensors themself could have built-in network intelligence like routing features, and meshed capabilities to find the right communiation path.
Even if the sensors connected by wired or wireless networks the used protocol is one main topic you have to plan for your IoT sensor network.
• Which protocol is the right one?
• Are all protocols have security features implemented?
• Does the protocol has overheads (bandwith)?
• Does the protocol overload the active sensor if it is powered by solar or battery?
Here are a list of the most common sensor protocols that are used in different IoT scenarios.
ZigBee https://en.wikipedia.org/wiki/ZigBee
http://www.zigbee.org/
http://www.adaptivem2m.com/zigbee-technology/zigbee-technology-m2m.htm
LoRaWAN https://en.wikipedia.org/wiki/LoRaWAN
https://www.lora-alliance.org/
6LoWPAN https://en.wikipedia.org/wiki/6LoWPAN
http://6lowpan.tzi.org/
https://datatracker.ietf.org/wg/6lowpan/charter/
LPWAN https://en.wikipedia.org/wiki/LPWAN
Z-Wave https://en.wikipedia.org/wiki/Z-Wave
http://www.z-wave.com/
https://github.com/OpenZWave/
MiWi https://en.wikipedia.org/wiki/MiWi
http://www.microchip.com/design-centers/wireless-connectivity/motor-control/miwi-protocol
http://wikid.eu/index.php/MiWi_technology
Sigfox https://en.wikipedia.org/wiki/Sigfox
http://www.sigfox.com/en/
Neul http://www.neul.com/neul/
Wibree https://en.wikipedia.org/wiki/Bluetooth_low_energy
http://www.wibree.com/
Thread http://www.threadgroup.org/
https://en.wikipedia.org/wiki/Thread_(network_protocol)
SimpliciTI RF http://www.ti.com/corp/docs/landing/simpliciTI/index.htm?DCMP=hpa_rf_general&HQS=NotApplicable+OT+simpliciTI
INSTEON https://en.wikipedia.org/wiki/Insteon
http://www.insteon.com/
http://www.linuxha.com/athome/common/iplcd/
MQTT http://mqtt.org/
https://en.wikipedia.org/wiki/MQTT

56
End-point management applications are needed to configure, administer and
monitor the connected end-points, sensors, and meters.
Depedning of the use case and connected sensors, these management applications
offers several funcions and tasks for the utilitiy.
e.g. Sensor reading erros, sensor outages, network outages, firmware updates, etc.
etc.
Within the management applications no data analytics is done.
This end-point managment applications are connected to other apllications within
the corresponding use case scenario like GIS (Geographic Informatin Systems) or
WFW (Workforce Management System).
The two following slides shows sample screenshots from a Meter Data Management
application from Siemens, EnergyIP.

57
Sample screenshot of the Siemens EnergyIP meter data management application.

58
Another sample screenshot of the Siemens EnergyIP meter data management
application.

59
Magic Quadrant for Advanced Analytics Platforms
09 February 2016 | ID:G00275788
Analyst(s): Lisa Kart, Gareth Herschel, Alexander Linden, Jim Hare
Summary
Predictive analytics and other categories of advanced analytics represent the fastest-growing segment of the
analytics market. Dell joins SAS, IBM, KNIME and RapidMiner as a Leader in this market.
Strategic Planning Assumptions
By 2020, predictive and prescriptive analytics will attract 40% of enterprises' net new investment in business
intelligence and analytics.
By 2018, more than half of large organizations globally will compete using advanced analytics and proprietary
algorithms, causing the disruption of entire industries.
Advanced analytics platforms provide an end-to-end environment for developing and deploying models, including:
• Data access to a variety of data sources. The advanced analytics customer reference survey indicates that while
the majority of users are analyzing transactional data, new data sources — such as text, log and sensor data,
and location data — are becoming increasingly common.
• Data preparation, exploration and visualization is a key area of functionality as analysis is performed by users
who may lack familiarity with the data and have increasingly high expectations of tools for automating data
discovery, visualization and preparation.
• The ability to develop and build analytic models, including clustering, classification and predictive models,
forecasting models, simulation models and optimization models.
• Ability to deploy models and integrate them into business processes and applications. Deployment is a
significant pain point for many organizations, so allowing easy adoption of models as part of a business process
or application — rather than them just being exported as code or a database score — improves project success
rates.
• Capabilities to perform platform, project and model management. The need to be able to validate the
performance of models and track them once deployed is necessary; the ability to reuse models and audit their
development and usage can be mandatory, rather than just desired, in certain more regulated industries and
environments.
• High performance and scalability for both development and deployment. The ability to perform at high levels of
speed and accuracy with large volumes data and streaming data is still critical for organizations, and with rising
data volumes becomes even more of a differentiator.

60
After the pattern analysis you receive an result about the condition of the specific machinery or
environment.
Depending on the outcome, different actions can result.
For example:
1) Individual reportings for the customer
2) Tasks send to workforce service team to interact with customer if a critical situation was analysed
3) Results will be used to interact with control systems in real-time, near-real-time to send control
command into the field
4) Or send information to customer about the corresponding IoT service the customer is consuming
Terminology WFM
Workforce Management (WFM), sometimes named Work Management System (WMS) or Mobile
Workforce Management (MWM) encompasses all the activities needed to maintain a productive
workforce. Sometimes it is referred to as HRMS systems, or even part of ERP systems.
In many markets and industries, workforce management is all about assigning the right employees
with the right skills to the right job at the right time.
Terminology GIS
A geographic information system (GIS) or geospatial information system is a system that captures,
stores, analyzes, manages, and presents data with reference to geographic location data. In the
simplest terms, GIS is the merging of cartography, statistical analysis, and database technology. GIS
might be used in archaeology, geography, cartography, remote sensing, land surveying, public utility
management, natural resource management, precision agriculture, photogrammetry, urban planning,
emergency management, landscape architecture, navigation, aerial video, and localized search
engines.
Terminology SCADA
SCADA (supervisory control and data acquisition) is a category of software application program for
process control, the gathering of data in real time from remote locations in order to control equipment
and conditions. SCADA is used in power plants as well as in oil and gas refining, telecommunications,
transportation, and water and waste control.
SCADA systems include hardware and software components. The hardware gathers and feeds data
into a computer that has SCADA software installed. The computer then processes this data and
presents it in a timely manner. SCADA also records and logs all events into a file stored on a hard disk
or sends them to a printer. SCADA warns when conditions become hazardous by sounding alarms.

61
Enablers are primarily technology-oriented companies, such as Cisco, Google, HP, IBM, and Intel. They build and maintain the
critical IoT infrastructure that allows Engagers to create their own connected services. Their offerings include the endpoint, hub, and
network and cloud service technologies: devices, connectivity hardware and infrastructure, computing and data storage systems,
software platforms, and more.
Many Enablers will remain content with relatively narrow businesses, as suppliers of endpoints to—or partners with—other players
that have larger ambitions.
The larger Enablers will fight over the enormous opportunities in integration. The systems they produce—intelligent endpoints, hubs,
cloud services, and platforms—must not just provide connections, but manage and bill for those connections, and allow users to
customize and develop their own services. Already, IoT opportunities are driving some hardware companies to expand in
unprecedented ways. For example, Intel, traditionally a maker of semiconductors, is developing soup-to-nuts IoT systems that
include not just chips but development platforms that will enable others to develop their own IoT services.
Engagers are companies that provide the direct link between the IoT and the market. They use the endpoint, hub, platform, and
service offerings created by the Enablers to produce services for consumers and businesses. Though most of them did not begin as
IoT companies, and many come from non-IT industries—appliance manufacturers, automakers, insurance companies, and retailers
are prominent among them—they expect enormous opportunities as the IoT gains traction.
Engagers tend to be most active in hubs and connected services. Systems like the Nest and Apple HomeKit, for instance, provide
services to customers, while collecting a rudimentary amount of data on customer usage and maintaining a high degree of customer
contact.
Already, Engagers are competing to control nodes of human activity: the smart home, the quantified self, the connected car, the
digital retailer, the intelligent factory, the next-generation hospital, and eventually the city of the future.
Enhancers - Like the enhanced services that they often deliver, the Enhancers are just beginning to appear in the IoT ecosystem.
They provide integrated services that reframe and repackage the products and services of the Engagers. They succeed by finding
new ways of creating and extracting value from the data, relationships, and insights generated from IoT activity.
The insurance industry offers a good example. Several companies, including MetLife, are developing ways to gather data on health-
related behavior to help design their rate schedules and offerings. By and large, insurance companies will not want to create their
own version of the quantified self. Instead, they will work with services that already exist: the Fitbit, which measures physical
activity; emerging systems that monitor heart rate, blood pressure, blood sugar, weight, and other health-related metrics; and
nutrition tracking devices (set up to receive automated signals from the refrigerator and restaurants).
The Enhancers emerging today will develop new types of services, many of which will undoubtedly disrupt or leapfrog past today’s
business models. Companies with the potential to act as Enhancers would do well to begin planning for that future now.
Your Strategy:
A wealth of opportunities exist for each of the three types of IoT strategy models: Enablers, Engagers, and Enhancers. Entering the
fray, however, should not be undertaken lightly. The IoT market’s newness and heterogeneity will make it difficult to negotiate,
even by those companies with the strongest capabilities and the clearest, most compelling value propositions.
If your company wants to stake a claim with the Internet of Things, you first need to develop a distinctive “way to play” - a clear
value proposition that you can offer customers. This should be consistent with your enterprise’s overall capabilities system: the
things you do best when you go to market, aligned with most or all of the products and services you sell.

62
IoT strategies, IoT requirements and IoT projects always have different criteria profiles to the respective businesses.
If you are planning an IoT/I4.0 project wihin your manufacturing environment the requirements differ to those of a IoT project that is focusing onto end-customer IoT offerings.
Example:
This sample set of criterias focusing on a Smart Aging Device.
Ease of Use
• Does it give you a choice of ways to interact, such as voice, text or email?
• Is it easy for you to program, or allow someone else to do it remotely?
• Does it have a large display and controls?
• Is it intuitive?
• Does it require professional installation?
• Is it flexible: can it be adjusted? Is it single purpose, or does it allow other devices to plug in and create synergies?
• Does it complicate your life, or simplify it?
• Do any components require regular charging, or battery replacement.
Privacy, Security, and Control
• Is storage local vs. cloud or company’s servers? Is data encrypted? Anomized?
• Do you feel creepy using it?
• Is it password-protected?
• Is security “baked in” or an afterthought?
• Can you control how, when, and where information is shared?
• Will it work when the power goes out?
Affordability
• Are there monthly fees? If so, low or high? Long term contract required?
• Is there major upfront cost?
• Does full functioning require accessories?
• Minimum cost/maximum cost
Design/User Experience (UX)
• Is it stylish, or does the design” shout” that it’s for seniors? “Medical” looking?
• Is the operation or design babyish?
• Would younger people use it?
• Is it sturdy?
• Does it have “loveability” (i.e., connect with the user emotionally)?
Architecture
• Inbound
Protocols supported (eg. Bluetooth, BluetoothLE, WiFi, etc)
Open or closed architecture
• Outbound
Protocols supported (eg. WiFi, Ethernet, CDMA, GSM, etc)
Data path (cloud, direct, etc)
• Remote configuration capability (i.e., by adult child)
Features and Functions
• Reminders
Passive, acknowledge only
Active dispensing (of meds)
• Home Monitoring
Motion/Passive Activity Monitoring
Environmental Alarms (Smoke, CO, Water, Temp)
Intrusion Alarms (Window etc)
Facilities/Infrastructure (Thermostat)
• Health Monitoring
Vitals Collection
Wearables Activity Monitoring
Behavioral/Status Polling (How are you feeling today?)
Behavioral Self-improvement
• Communications Monitoring
Landline/Caller ID (Identify scammers)
eMail and computer use (Identify scammers)
Mobile phone use
• Fixed Personal Emergency Response System (PERS)
• Mobile Personal Emergency Response System (PERS)
• Fixed Fall Detection/Prediction
• Mobile Fall Detection/Prediction
• Telehealth (Video)
• New and Innovative Features

63

EMC Solutions for the Internet of Things and Industrie 4.0 - Platforms (Handout EN) <<< OUT OF DATE - NEW VERSION AVAILABLE >>>

Recomendados

Recomendados

Mais conteúdo relacionado

Mais procurados

Mais procurados (20)

Semelhante a EMC Solutions for the Internet of Things and Industrie 4.0 - Platforms (Handout EN) <<< OUT OF DATE - NEW VERSION AVAILABLE >>>

Semelhante a EMC Solutions for the Internet of Things and Industrie 4.0 - Platforms (Handout EN) <<< OUT OF DATE - NEW VERSION AVAILABLE >>> (20)

Mais de Dell Technologies

Mais de Dell Technologies (20)

Último

Último (20)

EMC Solutions for the Internet of Things and Industrie 4.0 - Platforms (Handout EN) <<< OUT OF DATE - NEW VERSION AVAILABLE >>>