This document discusses the concept of Intelligence of Things (IoT) and outlines a strategy and roadmap for digital transformation using an IoT approach. It proposes a 3-tier architecture with device, edge, and enterprise tiers. Key vertical markets are identified as industrial IoT, consumer IoT, healthcare, insurance, and retail/CPG. Sample solutions and use cases are described for various industries. Finally, it outlines approaches for consulting, platform development, and building integrated solutions in a phased approach.

1. January 22, 2018
Intelligence of Things
- Consumer
Ravi Kiran

2. July 21, 2017 5
THINGS
• MACHINES
• Edge IOT
Devices
APPS
To make apps
highly available-
valuable-
real time
DATATO
Predict
Decide
Automate
CONNECT
Things – Data-
People
INTELLIGENCE OF THINGS – (Q)IOT
Sense-
See-Hear
Communi
cate
Analyze-
Learn
Predict
Automate
-Improve
IOT – AI
Ops – MiS
Platform
Sensors
Voice &
Vision-video,
thermal
LIDAR
RADAR
Ultrasound
IOT Edge
Computing
Machine
Learning
Neural
Networks
Predictive
INTELLIGENCE OF THINGSARTIFICAL INTELLIGENCEIOT

3. CONSULTING &
TRANSFORMATION
TRANSFORM TO NEXTGEN
AS A SERVICE
DEVICE - PLATFORM – APPS-
ANALYTICS
INTEGRATED DIGITAL
PLATFORMS
DIGITAL KIOSKS – INDUSTRY
ECOSYSTEM PORTALS
INDUSTRIAL
CONSUMER
SOLUTIONS
BUSINESS OUTCOMES
(Q)IOT IN A
BOX
WRAP & REUSE
(Q)IOT - AI SERVICE FRAMEWORK

4. Consulting &
Transformation
• Analyze
• Recommend right
Digital roadmap
• Digital Transformation
strategy & plan
• ROI plan
As-a-Service
• Set up IOT Device-
Network-platform
• Design-Build apps
architecture
• Build algorithms &
analytics framework
• Build on demand, As-
a-Service model
Integrated Digital
Platform
• Build Digital platforms
to connect Industry
value chain
• Digital Kiosks for
holistic digital
experience to
customers
• Omni channel
integration
Industrial
Consumer
Solutions
• Build industry specific
IOT solutions
integrating its
ecosystem
• Enable specific
business outcomes
and measure ROI
6 weeks 8 weeks On Demand
(Q)IOT-AI SERVICE FRAMEWORK

5. Device – Edge
AI
Enterprise
AI
Platform
AI
Industrial
IOT
Consumer
IOT
MFG
Auto – Aerospace –Energy -
Transportation
SCM – Industrial – Smart city
HLS
INS
Provider – Payer – Pharma -
Insurance
CPG
- RET
Intelligence of Things Model
3TIERED ARCHITECTURE 2 CATS 3 MAJORVERTICAL GROUPS
Consumer products -
Retail
A
A
B
C
WIFI – BLUETOOTH – ZIGBEE - NFC
LoPWAN – IPV6 - CELLULAR
CLOUD - LoPWAN – IPV6 – LoRAWAN - REST API – MQTT - COAP
B C

6. EDGE DEVICE INTEGRATION DIGITAL INTEGRATION
CONTROLLERS
GATEWAYS
IP-IR CAMERAS
ACTUATORS
CLOUD OF YOUR CHOICE
API INTEGRATION – MICROSERVICES ARCHITECTURE
GADGETS-FITBITS PLATFORM OF YOUR CHOICE
PLC - SENSORS
IOT in a Box – As-a-Service model
AutomationContainers
Open source LC
platforms ENTERPRISE APPS
MOBILITY
PREDICITVE ANALYTICS
ARTIFICIAL INTELLIGENCE
IMAGE ANALYTICS
FACE-SPEECH RECOGN
AR - 3D PRINTING
Cook Books
Blueprints
(Q)IOT IN-A-BOX - BLUEPRINT
A
B
C
A
B
CWIFI – BLUE TOOTH – ZIGBEE - NFC
LoPWAN – IPV6 - CELLULAR
CLOUD - LoPWAN – IPV6 – LoRAWAN - REST API – MQTT - COAP

7. January 22, 2018
Consumer (Q)IOT
Brilliant Consumer

8. Manufacturing Value
Chain
Digital Integration
Predictive
Maintenance
Production
Automation
Human Machine
collaboration
Mass
Customization
Resource
Efficiency
Global Supply
chain integration
Disrupt
Manufacturing
as-a-service
Complex
custom
products
Accelerate
innovation &
Time to
market cycles
Productivity
plateaus
Rising input -
operation
costs
Globalization –
Distributed
factories,
vendors,
customers
Why Consumer (Q)IOT?

9. RETAIL
CPG
BRILLIANT
CUSTOMER
SERVICES
INSURANCE
HEALTH
CARE
CONSUMER (Q)IOT
PROVIDER SUPPLYCHAIN CUSTOMER LIFECYCLE

10. m-Shop
i-Health
i-Home
i-Insure
e-Save
Digi pay
e-Travel
e-Food
BRILLIANT CONSUMER
c-Work
c-Social
i-Think
INBOUND
CONSUMPTION
OUTBOUND
CONSUMPTION
Intelligent Retail
e-Supply chain
i-Car-Train-Air
Digital money
Connected
Platforms
Smart Office
Artificial
Intelligence
i-Building e-Utilities
Digital Insurance
Digital Healthcare
Digital money
e-Grocer - s-Hotel

11. Omni channel
experience
Connected
Brilliant
Customer
Digital Intelligent
Inventory
E-Retail
Smart Store
Intelligent Supply
chain
Digital Money
IMPROVING RETAIL-CPG BUSINESS

12. Predict Demand
Personalize
customer
experience
and
products
Tailored situational
pricing
Anticipate
customer
behavior
IIOT-AI for CPG
Automate – Optimize
Supply Chain to meet
accurate demand
Operation automation
& intelligence
RFID-Sensors-Edge
devices-Video
analytics- AR-
Planograms to Track-
Optimize-Deliver low
cost products
IMPROVING RETAIL-CPG BUSINESS

13. Reduce Consumer-Insurer Risk & Improve Protection
Intelligent Claims
Predictive
modeling
PersonlizedPolicy
& Risk cover
Connected ecosystem
Car-Health-Home-Commercials-Life
Intelligence &
Analytics
UW-Policy-Risk-
Claims
Usage based
Insurance &
Premium
INTELLIGENT INSURANCE

14. CUSTOMER
CAR-HOME-
HEALTH-
COMMERCIAL-
LIFE
AGENT
UNDERWRITER
INSURER
PERSONLIZED
INSURANCE
RISK
PROTECTION
CLAIMS
DIGITAL MONEY
USAGE BASED
PREMIUM
INSURE PLATFORM
INTEGRATE
CUSTOMER
LIFECYCLE
MANAGEMENT
INSURANCE
ECOSYSTEM
INTEGRATION
Intelligent Insurance
Platform

15. Care
management
Care plan
Clinical ops
Connected
imaging
Inpatient
Monitoring
Medication
Management
Remote -Health
Medical Device
manufacturing
Health Research
& Development
Pharmaceuticals
& Pharmacies
Real-time Track & MonitorManage-Improve Patient Health
HEALTHCARE VALUE CHAIN LIFESCIENCES VALUE CHAIN
Improve LS products & supplies
SMART HEALTHCARE

16. Remote
Monitoring
Remote
Medicine
Remote –
robotic Surgery
Health Informatics –
Real-time
SMART PATIENT VALUE CHAIN

17. Consumer Supply
Digital Platform
Transform
to
Consumer
centric SC
Personalize
things to
meet
consumer
needs
Consumptio
n & pattern
Intelligence
Omni
channel
reach to
consumer
Right things
at right time
to consume
Consumer
SC
integration
Un-scalable linear
supply chain
model
Standardized
products due
limited consumer
knowledge
Limited channels
of consumer reach
Lack of integration
factories,
distributors, retailers
with consumer
Archaic methods
unable to
accurately predict
the right need
Manual methods to
study consumer
buy and pattern
INTEL SUPPLY CHAIN

18. 18January 22, 2018 18January 22, 2018
(Q)IOT Digital Transformation Roadmap
Build a Digital Vision in line with
Customer
Wave 0
Future Vision
Program
Roadmap
Wave 2
As-A-Service framework
Organization plan
Build a Program roadmap to build
the vision and nextgen digital
future for Customer
Digital Transformation
plan
Wave 1
Digital Consulting &
Transformation
Investment & Financial
plan
Pilot some of the other
key technology areas
and build the
frameworks
Governance and Quality Stage Gates for continuous quality improvement – Left Shift model
Org & Investment planVisioning Digital Foundations Continue Digital Journey
Build / Partner / Acquire
IOT - Mobility – Cloud –
Analytics – Image
analytics, Speech
recognition, AR
platforms
Digital Transformation
Governance model
Wave 3
Integrated Digital
Platforms
Wave 4
Build & Maintain
Industrial – Consumer
Solutions
Continuously Measure
the value and ROI of
nextgen technologies to
business
Build the Customer
Industry digital
ecosystem
Build Industrial and
Consumer IOT solutions
Support Customer
business outcomes
Possibly be an
Independent Digital
Consulting org for Global
Industrial companies
Build Technology
Partners ecosystem

19. Digital Study &
Analysis
Design
Thinking &
Ideate
Project
identification
&
prioritization
Device &
Platform
selection
API
Integration
Microservice
s
architecture
Integrate
setup IOT
Platform –
Device-Orch
platform-
Network-Apps
Omnichannel
Digital
experience –
IOT-Analytics-
AI-Mobility
Build Digital
platforms to
integrate
e2e busiess
ecosystem
Continuously
measure
business
outcomes &
ROI
Deploy-
Deliver apps
using
DevOps
method
Build
Industrial -
Consumer
apps on
demand as-
a-service
Protoype
applications &
measure
outcomes
(Q)IOT Digital – Agile Implementation model
Consulting & Transform
Platform & As-a-service
Industrial Solutions
Integrate Industry
Value chain

20. January 22, 2018 20
Analytics & Intelligence Domain
Provision – Deployment – CLOUD - CONTAINER
API – Portals
Monitor – Diagnostics
Orchestration – Asset – Data
Orchestration & Operations Domain
Data services & Platforms
Transformation & Distribution
Analytic services & Platforms
Transformation & Distribution
Device Tier Enterprise Tier
Application Gateway
Device & Control Domain
Actuators
Controller
Sensors
ERP-MES CRM EMR
AI-ML ANALYTICS
Business Domain
Rules API – Microservices
Application Domain
3 Tier – (Q)IOT Implementation
Proximity Network Access Network Service Network
Business apps
Platform Tier

21. INDUSTRYSPECIFICSOLUTIONS
NETWORKS
CLOUDINFRA-AS-CODE
SYSTEM
INTEGRATION
BUILD-
MANAGE
APPLICATIONS
DATA
ANALYTICS
COMPLETE
AUTOMATION
IOTPLATFORMPROVIDER
MOBILITY
INTEGRATION
ARTIFICIAL
INTELLIGENCE
MICROSERVICE
ARCHITECTUR
E
REST API
FRAMEWORK
INTELLIGENT
ENTERPRISE
APPLICATIONS
(Q)IOT Ecosystem
Complete IOT DIGITAL ecosystem integration & intelligent apps service provider

22. January 22, 2018
(Q)IOT – Use Cases

23. January 22, 2018 23
Consumer IOT Solutions with Partners

24. Consumer IOT Solutions with Partners

25. January 22, 2018 25
Consumer IOT Solutions with Partners

26. January 22, 2018
Backup Slides

27. January 22, 2018 27
Digital Ecosystem – Building Capability &
Solutions
Industries Partner – Platform ecosystem Benefit
Manufacturing, Industrial
Supply chain
GE Predix - PTC Thingworx – Intel - Bosch High IOT adoption, investments in these industries
Evolution of strong Platform players in Manufacturing –
Industrial – Healthcare – Retail – Smart City – energy -
Consumer spaces.
Continuous build of standards across IOT ecosystem including
Edge Device, Communication protocols, Security,Application
architectures increase business growth in IOT,AI,
Microservices
End to end IOT partner ecosystem will help build its capability
and provide,
Industry specific solutions
Scale enterprise wide digital transformation programs
Integrate best of breed technologies to solve specific customer
problems
Healthcare Kaa – IBM MS Azure - Intel
Retail CPG AWS IOT – IBM - MS Azure - Kaa
OtherVerticals Combination of above
SMB or specific solutions Axelta Osmosis
Kaa
Training – Solution –Integration -
Implementation Support
Axelta
Partners in other specialized areas in progress
Communication – Network LORA
Cisco
Edge Devices – Nodes
Device integration
Device specific vendors, principals, consultants
Consulting – Domain,Technology PwC – Deloitte – IEEE

28. January 22, 2018 28
Microservices, AI, Analytics – Digital Ecosystem
Elements of IOT ecosystem Partner – Platform ecosystem Benefit
Microservices - API Factory Spring cloud - Discovery - Mulesoft - Other API
tools
These are critical elements to build IOT ecosystem for
customers
Scale enterprise wide digital transformation programs
Integrate best of breed technologies to solve specific customer
problems
Build Intelligent Real time high ROI systems for customers
Artificial Intelligence IBM - Intel - Amazon - Google - Salesforce -
Microsofft
Analytics IBM - MapR - HortonWorks - Microsoft - AWS -
SAP
Mobility IBM
Video - Thermal image analytics OpenCV
Speech Recognition analytics Siri - GoogleNow - Cortana - Alexa - Open source