This document discusses M2M (Machine to Machine) and the Internet of Things. It outlines potential business opportunities for client organizations in various M2M segments like enabling micromarketing strategies, increasing process automation, and digitizing assets. The document also lists technical challenges for clients in integrating fragmented technologies, scaling up IT infrastructure, deploying horizontal platforms, and addressing security issues.

1. M2M – Internet of Things
Emerging trends (Manufacturing
vertical)

2. Agenda
Author - Introduction
M2M – Potential business opportunities for client organizations
M2M – Potential Business Segments
M2M Application enablers
M2M – Internet of Things
M2M Value chain
M2M typical business scenario – Chemical Industry
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M2M – Challenges (technical) for client organizations8

3. Author
 16+ years of consultancy & senior
management experience
 Experienced in owning global
customer relationship
 Academic credentials include masters
in business management, PMP &
Professional level certifications in SAP
 LinkedIn contact:
de.linkedin.com/pub/pon-karthikeyan-
m-b-a-pmp/14/186/998
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The views expressed in this presentation are strictly the author ´s personal opinion/point of view and should not
be interpreted in any way as those of his employer

4. M2M – Internet of Things
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Basic description of M2M:
Establish the conditions that allow a
device to (bidirectionally) exchange
information with a business application
via a communication network so that
the device and/or application can act as
the basis for this information exchange
Characteristics:
1. Multitude
2. Variety
3. Invisibility
4. Criticality

5. M2M - Potential Business
Segments
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6. M2M Value chain
End Users
Service
Providers
System
Integrators
MiddlewareNetworkModuleMachine
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Business Drivers for M2M growth:
1. New sources of data - emergence of social media to creatively source internal & external data
2. Rise of computing power- exponential growth in capacity & ability to handle big data and proliferation of
cloud based services
3. Smart analytics – predictive & prescriptive analytics, neural networks, social network mapping &
visualization tools
4. Development of intelligent content and translation technologies
5. Progressive reduction in communication & hardware costs
6. Increased coverage & penetration of wireline & wireless IP networks, mobile platforms & applications
7. Establishment of industry standards

7. M2M Application enablers
•Data collection & aggregation
•Data storage
•Predictive & prescriptive
analytics
•Device diagnostics
•Device configuration/monitoring
•Security
•Heterogenous networks &
protocols
•Addressing & management of IP
address
•Messaging
•Service creation
•Service delivery/consumption
•Service pricing models
Context Communications
(Big) Data
Device
Management
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8. M2M typical business scenario –
Chemical Industry
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M2MDomain
Application Domain
Network Domain
Production sites, Business units, R&D facilities
PointofSale&Fieldrepresentatives
Allied Industries
Micro marketing, remote monitoring, customized products/services,
etc.,
Data sharing/trading with allied industries
sensors,smartmeters
social media & cloud
servers, middleware, applications

9. M2M – Potential business
opportunities for client organizations
1. Enabling micromarket strategy
2. Algorithmic capabilities
3. Increased automation of processes
4. Digitizing Assets
5. Faster incubation of business ideas & business models
6. Creation of distinct product/service capabilities
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10. M2M – Challenges for client
organizations
Technological challenges:
1. Integration of fragmented technology, platforms & data models
2. Scaling up of existing IT infrastruture
3. Deployment of horizontal platforms
4. Security (software & hardware based solutions)
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