AWS IoT services help you connect devices to AWS services and other devices, secure data, interactions, and process, act on device data, and enable applications to interact with devices, even when they are offline. In this session, we provide tips for using the portfolio to create applications faster and deploying applications at the edge. We show you how to save time when adding new kinds of devices to your applications.

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AWS IoT Things Graph
Pushpak Pujari
Sr. Product Manager
AWS IoT
I O T 3 6 6
Bharath Lingam
CEO
Xcube Labs
Manjunath Sundarrao
Solutions Architect
Tata Consultancy Services

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What we will cover today

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What are automation applications?

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Example – Hotel room personalization

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Example – Baby monitor

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Creating automation applications is hard

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Creating automation applications is hard

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Creating automation applications is hard

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Creating automation applications is hard

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What if there was a way…

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AWS IoT Things Graph
Visual UI

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AWS IoT Things Graph
Visual UI

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Visual UI
Build application
using mouse clicks
Define interactions
Repeat to create
create multi-step
flows

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Visual UI
Build applications
quickly
Add branches,
embed logic such
as IF/ELSE or
AND
Deploy with just
a few clicks

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AWS IoT Things Graph
Visual UI

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Models
Abstract low level details
Written in GraphQL using
Things Data Model™
Use pre-built models or
build your own

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Models
Manufacturer A
Model
for Camera A
Manufacturer B
Model
for Camera B
Manufacturer C
Model
for Camera C
Generic Camera
Model
Use one model to control
many devices
Avoid undifferentiated
integration effort
Reusable building blocks,
can be versioned

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AWS IoT Things Graph
Visual UI

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Run at edge
Bulb
Thermostat
Camera
Design in the cloud, run on
AWS Greengrass devices
Orchestrate local devices
and web services like
Amazon Rekognition
Native support for MQTT
and Modbus protocols, with
more added every month

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Run at edge
Specify
parameters
Assign real world
devices to models
Deploy application
to Greengrass
device
Define trigger

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AWS IoT Things Graph
Visual UI

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Monitor
Track flow execution time,
flows failed, step
execution time, steps
failed, etc. on Amazon
CloudWatch
Define your own metrics
Analyze trends, set
threshold, and raise
alarms

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Things Graph for Smart Home
Applications
Mr. Manjunath S
IoT Solution Architect
Tata Consultancy Services Pvt Ltd.

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27
Brand Finance Forbes
Global Ranking*
Market Cap
50
19.08
411,102
147
46
Years in business
Billion US$ Revenue
Employees
Nationalities
Countries
TCS ranked among Forbes
Top 100 Most Innovative
Companies
Employee Net Income Revenue
23 2 5
2
TCS AWS Confidential

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28
Drivingtransformation across industries. . .
Leadership Zone”
in the IoT
Technology
Services - 2017
Rated as a Leader by analysts
Banking &
Financial Services
Communications,
Media, & Technology Insurance Manufacturing Retail
Consumer
Packaged Goods
Energy, Resources,
& Utilities
Life Sciences &
Healthcare
Public Services
Transportation &
Hospitality
Winner's Circle’
IoT Industry 4.0
Services 2017
Leadership Zone IoT
Technology Services
2017
Leader & Star Performer
Digital Services PEAK
matrix 2017
“Leader” iOT Vendor
Evaluation 2017
‘Leader’ in MarketScape
IoT consulting & SI
services worldwide 2016
TCS's deals focus on integration
for near-real-time insight into
operational and business processes
TCS AWS Confidential

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TCS AWS Confidential
IoT solutions across the value chain

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Smart Home: Home automation
Entrance
Kitchen
Living room
• Remote door un-lock
based on video feed
• Face recognition and
personalized settings
• Lightings
• Curtains
• Voice based Alexa
commands to brew
coffee
• Voice based TV Switch
ON/OFF
• iRobot based floor
cleaning
Temperature, humidity, ambient light sensor are
monitoring the parameters at home and based on
the condition, the appliances like AC, fan are
triggered via smart plug
CO and smoke sensors
are monitoring the air
quality in the room
and trigger alerts
when needed
TCS AWS Confidential

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TCS Smart Home solution system architectureusing Things Graph
HUB
AWS IoT Greengrass
modules deployed in HUB
for Device Command and
Control
AWS IoT Greengrass
Coffee Maker
Wi Fi
(Socket)
Lights
Zigbee
Door
Wi Fi
(REST)
CO
Xbee
Echo
Voice Command and Response
Surveillance
Camera
IP
Camera
Stream
BLE
AWS cloud services
AWS Lambda
Functions
Amazon Kinesis
Video streams
Amazon S3
Video Streaming
AWS IoT
Deploy application
to HUB
TCS AWS Confidential
Sensor Tag

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TCS Smart Home solution: Usage of ThingsGraph
Lux value
Brightness variation
Light
AWS IoT
Things Graph
People Movement
Switch ON lights
Motion Sensor
Ambient Sensor
Temp HumidityLux On-Off ColorBrightness
Create Entity
-Lights -Sensor
Create Work Flow
– Ambient Light
Create System Flow
– Smart Home
Deploy System
– Smart Home
Things Graph ImplementationThings Graph Device Models
Using Device Models Query, Logic,
Action
Manage Work Flows
TCS AWS Confidential

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TCS Smart Home solution: Benefits of Things Graph
• Complex Implementation
• Code intensive
• Complex Device/Web Integration
• Non Unified Device Access
• Limited Device Access
• Device Augmentation Challenge
• Poor User Experience
• Management Overhead
• Reusable Abstract Models
• Auto Code or Code light
• Faster Time To Market
• Models offering flexibility
• Less dependency On Device Manuf
• Expansive Device Choices
• Model Driven Simplified Integration
• Simple, Intuitive, Drag and Drop UI
• Workflow Automation
• Swifter MAC
• Secure Connected Seamless
Experience
AWS IoT Things Graph enables an integrated & secure connected home experience that is easy and flexible to build and maintain
TCS AWS Confidential

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Other engagements and plans
Retail Hospitality
Smart Stores Connected Rooms Asset Monitoring
TCS AWS Confidential
Insurance
Digital Inventory
Life science
Leveraging AWS IoT Services for building customer-centric scalable production ready business solutions

35. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Mr. Manjunath S
+91 9448763651
We welcome you to visit TCS booth #726

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RAPID ORCHESTRATION OF INDUSTRIAL IOT
SOLUTIONS USING AWS IOT THINGS GRAPH
Bharath Lingam
CEO
[x]cube LABS

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[x]cube LABS: BUILDING DIGITAL NATIVE ENTERPRISES
DIGITAL
NATIVES
OPENNESS
SPEED
DATA DRIVEN
ECOSYSTEMS
RIGHT BRAIN
SCALE
HEURISTICS
GROWTH
DALLAS I HYDERABAD I SAN FRANCISCO | BODRUM | BANGALORE | SYDNEY | SINGAPORE
DIGITAL STRATEGY/ CUSTOMER
OPERATING PLATFORMS/
IOT TRANSFORMATION
650+
EMPLOYEES
30+ FORTUNE 2000
CUSTOMERS
$2B+
VALUE CREATED

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150+
IoT Specialists
75+
IoT Projects
Jumpstart Toolkits, Reference
architectures, LABS, Partner
ecosystem
• Farms
• Home Automation
• Personal Health
• Hospitals
• Buildings
• Industrial
CUSTOM IOT PLATFORMS
OPTIMIZATION: APPS,
ANALYTICS, DASHBOARDS
TURNKEY IOT PRODUCT
DEVELOPMENT
IOT ENTERPRISE ARCHITECTURE
IOT STRATEGY ( CX,
CONNECTED PRODUCTS,
DIGITAL MANUFACTURING)
[x]cube LABS: PIONEERS IN IOT TRANSFORMATIONS

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THE PROBLEM:FLUIDS, THE LIFEBLOOD OF INDUSTRY
KEY CHALLENGES
• Evaporative losses
• Pilferage
• Transmission losses
• Business continuity
• Centralized purchasing
• Hazard management
• Chemical composition
• Inefficient processes
• Inventory outages
OVER USD 2 TN ANNUAL SPEND
( Bigger than all solid markets)
$

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THINGS GRAPH - WHEN HETEROGENEITY IS THRIVING
Temperature
Pressure
Humidity
Chemical composition
Velocity
Gradient
Vibration
Density
FLUIDS VESSELSCONDITIONS

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THE SOLUTION: IoT + AI + THINGS GRAPH ORCHESTRATION
Sensorization
Assembly
Monitoring
Optimization
• Pressure
• Level
• Temperature
• Humidity
• Viscosity
• PPM - composition
• Flow
• xx
• xx
• xx
• Aggregation
• Pre-processing
• Rules
• Noise cancellation
• Vibration alowances
• Data analysis
• Event co-relations
• Big data algorithms
• Anomaly detection
• Alert & notifications
• SLA breaches
• ML/AI algorithms
• Process modifications
• Performance monitoring
• Custom analysis

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STORAGE
IOT ARCHITECTURE - THINGS GRAPH
SENSORS GATEWAY
GREENGRASS
MULTIPROTOCOLINTERFACEBUS
PREPROCESSING SYSTEM
ML INFERENCE
AWS THINGS GRAPH
SHADOW
IMPLEMENTATION
MESSAGE
MANAGER
DISCOVERY SERVICE BROKER
AUTHENTICATION
FOTA
RULEENGINE
AMAZON S3
DYNOMODB
IOT ANALYTICS
THING POLICY
AMAZON
SAGEMAKER
AWS IoT CORE
AWS IoT
ANALYTICS
AI / ML
TRAINING
ENTERPRISE SYSTEMS
DEVICE GATEWAY
API GATEWAY
COMMUNICATION INTEGRATIONS
EXTERNAL SYSTEMS

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THE THINGS GRAPH ADVANTAGE
COMPLEXITY
MANAGEMENT
• Device classification
• Device grouping
SEGMENTATION
• Segmenting flows
• Condition management
Re-USE
• Quicker setup times
• Reliability
MANAGEABILITY
• Quicker change management
• Optimization
• Eliminating code hell

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A QUICK DETOUR INTO A DEMO

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THINGS GRAPH - THE IMPACT WE FELT
Design
• Stronger abstractions
• Better control
Development
• Less code
• Less time
• Less skill
Testing & Rollout
• Better control
• Quicker rollouts
• Smaller iteration cycles
End
User
• Greater collaboration
• Smaller training cycles
System
Management
• Quicker changes
• Reliable extensions
Expansion
& Optimization
• Greater autonomy
• More focus on data
• Higher order opportunities

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READING THE TEA LEAVES - THE THINGS GRAPH PLAN
• Train 100 engineers in six
months
• Revised IoT lifecycle
methodology
• New service offerings
• Rejig IoT dev platform
• Focus on device assembly
vs end points
• Evolve stronger data
offerings
• Experiment more quickly
• Libraries of device
entities and meta data
• Niche solutions
• Market education
INTERNAL ENABLEMENT CLIENT COACHING ASSET CREATION

47. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
bharath.lingam@xcubelabs.com
www.xcubelabs.com

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Demo
Motion sensor,
camera, screen
connected to
Raspberry-pi
running AWS IoT
Greengrass
2 step flow - when
motion detected,
take picture and
send it to screen

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Sign up for Things Graph preview at
https://aws.amazon.com/iot-things-graph
Email us at: aws-iot-things-graph@amazon.com

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