This document discusses how interconnected devices and artificial intelligence are creating a smarter world. It provides examples of how AWS services like IoT, Lambda, analytics tools, and machine learning can power smart devices and make them more intelligent by connecting them to cloud services. Finally, it emphasizes that the combination of IoT data and big data analytics on AWS provides a platform to continuously improve connected devices and systems.

1. © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
A Smarter World: The Mesh of Interconnected
Devices and Artificial Intelligence
Olivier Klein
Emerging Technologies Solutions Architect, APAC
Amazon Web Services

2. 1990
John Romkey
Internet
Toaster
(SNMP)

4. Healthcare and
Life Sciences
Municipal
Infrastructure
Smart Home Retail
Manufacturing,
Logistics & Supply
Chain
Agriculture Education Automotive
…across all Industries

5. Smart Devices

6. Devices

7. Smart?

8. Arduino Uno Raspberry Pi
CPU 20MHz 8bit 700MHz 32bit
Memory 2 KB 512 MB
Storage 32 KB SD card
Smart?

9. Logic Memory
A single neuron or nerve end doesn’t make us smart…

10. Millions of
Users / Consumers
Millions of
Devices / Producers
Challenges
Distributed
At scale

11. Smart Devices
Powered by the Cloud
Virtually Unlimited Storage – Memory
Virtually Unlimited Compute – Logic
Cloud removes constraints!

13. 14 Regions
38 Availability Zones
63 Edge Locations
Continuous Expansion
AWS Global Infrastructure

14. Web Services
Core Services Compute Storage Database Networking
Infrastructure Regions Availability Zones Edge LocaAons
PlaCorm
Services
AnalyAcs IoT Deployment Mobile
Virtual
Desktops
CollaboraAon
& Sharing
App Delivery E-Mail
Access
Control
AudiAng Monitoring EncrypAon Security
ApplicaAons
A
P
I
&
S
D
K
s

15. The “Internet of
Things” (plural)

19. SONOS Trueplay: Smart Speaker Tuning
Trueplay measures the
acoustics in any room and fine-
tunes your speaker
Launched in 2015 yet available
to devices purchased over 5
years ago
Data-driven evaluation and
testing

20. Cloud-connected devices are constantly smarter
« A 10 year old product can do things that hadn't
been invented 10 years ago. Most importantly, going
forward, people will expect your product to improve, and if
it isn't being updated and getting better, you're literally
being left behind. »

21. IoT - Building Blocks for Innovation
• Products that get smarter over time
• Processes are made more efficient and predictable
• Closer relationship with your customers
• New offerings that weren’t possible before

22. TATA Motors – Intelligent Fleet management
Collects sensor information and
monitors truck fleets via AWS
Data allows to route fleets more
effectively
Predict engine failures or
mechanical problems and pre-
emptively send trucks to repair
centers

23. Philips HealthSuite stores 15PB
of patient data
Data gathered from 390 million
imaging studies, medical records
and patient device inputs
Doctors can look at long-term
patient behavior and symptoms
instead of momentary snapshots
Philips HealthSuite – Improving doctor/patient
relationship

24. Stream, analyze, store and
share data collected by 200,000
telematically-enabled machines
Provide growers timely and
accurate data for optimal
growing conditions
Help farmers plant more
efficiently and improve crop
yields
John Deere – Plant and grow more efficiently

25. BMW – Make the car the sensor!
Connected-car application
collects sensor data from
BMW 7-series
Built Car-as-a-sensor
(CARASSO) in only 6 months
Provide dynamically
updated map information

26. “Securely connect billions
of devices to AWS and
interact with applications,
other devices and the AWS
platform”
AWS IoT

27. AWS IoT
DEVICE SDK
Set of client libraries to
connect, authenticate and
exchange messages
DEVICE GATEWAY
Communicate with devices via
MQTT and HTTP
AUTHENTICATION
AUTHORIZATION
Secure with mutual
authentication and encryption
RULES ENGINE
Transform messages
based on rules and
route to AWS Services
AWS Services
- - - - -
3P Services
DEVICE SHADOW
Persistent thing state
during intermittent
connections
APPLICATIONS
AWS IoT API
DEVICE REGISTRY
Identity and Management of
your things

28. Official IoT Starter Kits, Powered by AWS

29. AWS Platform For IoT
App
Backend
API
Gateway
Lambda
Edge Service
CloudFront
Companion
Apps
Analytics
RedShift
Data
Storage
S3
SDKs
C, iOS
Android
Machine
Learning
Machine
Learning
DynamoDB
Kinesis
Ingestion,
Protocols &
Security
Device
Shadows
Mobile Hub
EMR
Reference
Hardware
Rules
Engine
AWS IoT

30. So we store all the data and perform our
calculations on servers, right?

31. Dr. Werner Vogels
CTO - Amazon

32. No server is easier to manage…

33. …than no server.
No server is easier to manage…

34. AWS Lambda
No server is easier to manage…
…than no server.

35. AWS Lambda – Serverless
Run your code in the cloud, fully
managed and highly-available
Triggered through API calls or state
changes in your setup (S3,
DynamoDB, SNS, Kinesis)
Scales automatically to match the
incoming event rate
Charged per 100ms execution time
Amazon
Kinesis
Amazon Lambda
Amazon
S3
Amazon
DynamoDB
Amazon API
Gateway
Amazon
IoT

36. powered by Alexa Voice Services

38. The Power of Speech: Alexa
• Alexa, the voice service that powers
Echo, provides capabilities, or skills,
that enable customers to interact with
devices using voice.
• Alexa Skills Kit (ASK) allows device
manufacturer to build their own skill
• Skills can be powered by AWS
Lambda

39. The Power of Speech: Alexa
Node.js SDK available to quickly build new voice skills.
github.com/amzn/alexa-skills-kit-js
var AlexaSkill = require('./AlexaSkill');
var HelloWorld= function () { AlexaSkill.call(this, APP_ID); };
// Extend AlexaSkill
HelloWorld.prototype = Object.create(AlexaSkill.prototype);
HelloWorld.prototype.constructor = HelloWorld;
HelloWorld.prototype.eventHandlers.onLaunch = function (launchRequest, session,
response) {
var speechOutput = ”Hello World”;
response.tell(speechOutput);
};

40. Build your own Alexa Skill!
Amazon
Echo
Alexa Skills
Kit
AWS Lambda Amazon
DynamoDB
(Facebook Page
Post)

41. Finally, Data Analytics at scale to render
connected devices even smarter!

42. Ingest Store Process Visualize
Data Answers
Time
Simplified Data Analytics Pipeline

43. Amazon S3
Amazon
DynamoDB
Amazon RDS
Ingest Store Process Visualize
Amazon Mobile
Analytics
Amazon EMR
Amazon Redshift
Amazon
Lambda
Amazon Kinesis
Firehose
Amazon Machine
Learning
Amazon
EC2
Amazon
Glacier
Amazon
Elasticsearch
Service
Amazon
Kinesis
Analytics
Amazon QuickSight
AWS Import/
Export Snowball
Amazon
Kinesis

44. 1 instance x 100 hours = 100 instances x 1 hour
(and with Spot Pricing not only faster but also cheaper)

45. Final Thoughts
More and more “things” will amass large amount of data,
build on a platform which can scale
Choose lightweight protocols and cost-effective data
stores
IoT and Big Data are best friends, AWS enables both
Charging model should be simple and remove
infrastructure complexity
SDKs, starter kits and growing partner ecosystem can help
you to get started quickly

46. Thank you!
Olivier Klein
Emerging Technologies Solutions Architect, APAC
Amazon Web Services