aws re:invent 2016: innovation after installation: establishing a digital relationship with aws iot...

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Dr. Sarah Cooper, AWS GM IoT Solutions

Olga Lagunova, Pitney Bowes VP Software Engineering

November 30, 2016

Innovation After InstallationEstablishing a digital relationship via AWS IoT

IOT303

IoT Product Life begins at

Installation

What to Expect from the Session

Core Components of ‘Living Product’ Design

Post-Installation Analytics

Easy experimentation

Transparent operations

Common AWS IoT Design Patterns for In-Situ Product

Innovation

Pitney Bowes: Future-Proofing the Smart Office on AWS IoT

Re:Invent AWS IoT Announcements in Context

Your Digital Relationship

with customers

takes on-going work

Post-Installation AnalyticsDeriving Operational Insights from IoT Data

Data Temperature: Choose the right tool for the job

HOT

WARM

COOL

COLD

Freshly measured data is ‘hot.’ Time to insight is fast, often requiring local and/or streaming analytics

Warm data is measured then cached or less immediately important, analytics are less latency sensitive

Cool data is collected, stored and analyzed in batch across large populations, taking longer compute times

Cold data is historical in nature, often already analyzed but archived for future model training

⚠ Subsecond Automation Feedback

⚠ Safety Alarms

⚠ Failure Threshold Alerts

⚠ Consumable Deplete

Post-Installation AnalyticsOperational Insights from IoT Data

⌚ General Sensor Measurements

⌚ Device Health & Status

⌚ Consumable Levels

⚙ Process Participation

⚙ Performance KPI, Signal Strength

⚙ Sys Logs

✇ Product-line QA Data

✇ Old Operational Insights

✇ Profiled Operation Modes

Measured & Diagnostic Data

Post-Installation AnalyticsUser Behavior & Product Impact Profiling

?

AWS IoT

AWS Lambda

Amazon EMR

Amazon QuickSight

IoT Data Collection,

Policy & Routing

Data Cleansing, User Event ID,

Enrichment, Forwarding

User Pool Behavior

Patterns, Cohorts

Result Inspection,

Data Visualization

Product Manager sees new

usage pattern to driving new

features for an OTA upgrade

💡

Usage Data is the Jet Fuel

of Product Innovation

Product Velocity: Ease of ExperimentationEvolving Analytics with an Emerging IoT Market

t=0

t=5t=30

t=60

ATTEMPT 1 ATTEMPT 2 ATTEMPT 3

When a product landscape changes suddenly,

architectures need flexibility in IoT Platform and Analytics

✔

Operational TransparencyBecause People Need to Adapt Too

💡

SalesSupport

DistributorsSuppliers

Stakeholders make

all the difference

Architecture Comes Alive

AWS cloud

WEATHER

LOCATION

TRAFFIC

External Data

Sources for

Analytics

AWS

IoT

AWS

IoT SDK

IP SECURITY

CAMERA

ECOSYSTEM OF

SMART DEVICES

DIRECT

CONNECTED

SMART DEVICE

Amazon

Elasticsearch

Service

Amazon

DynamoDB

Amazon

S3

Amazon

Machine

Learning

AWS

Lambda

AWS

Lambda

Predictive Maintenance

& Behavioral Analytics

PRODUCT ANALYTICS

AWS Marketplace

or APN Partner

Product

Management

Workflow

CRM Customer

Information

Store

Service,

Repair &

Installation

AWS IAMAmazon API

Gateway

AWS Elastic

Transcoder

API MANAGER

AWS IOT SERVICES: Registry,

Rules, Shadow, CDM, Provisioning,

OTA, Security

AWS Initiated Data Flows

API Connection Points

AWS Terminating Data Flows

Amazon

RDS

Connected Product User

Mobile Application Connected Product

Operations Application

Product

Experimentation

Streaming

Analytics

AWS

Kinesis

AWS Kinesis

Analytics

Amazon

SNS

An IoT ‘Living Product’

Architecture

Keeping your product

critical for its full lifetime

AWS cloud

WEATHER

LOCATION

TRAFFIC

External Data

Sources for

Analytics

AWS

IoT

AWS

IoT SDK

IP SECURITY

CAMERA

ECOSYSTEM OF

SMART DEVICES

DIRECT

CONNECTED

SMART DEVICE

Amazon

Elasticsearch

Service

Amazon

DynamoDB

Amazon

S3

Amazon

Machine

Learning

AWS

Lambda

AWS

Lambda


& Behavioral Analytics

PRODUCT ANALYTICS

AWS Marketplace

or APN Partner

Product

Management

Workflow

CRM Customer

Information

Store

Service,

Repair &

Installation

AWS IAMAmazon API

Gateway

AWS Elastic

Transcoder

API MANAGER

AWS IOT SERVICES: Registry,

Rules, Shadow, CDM, Provisioning,

OTA, Security

AWS Initiated Data Flows

API Connection Points

AWS Terminating Data Flows

Amazon

RDS

Connected Product User

Mobile Application Connected Product

Operations Application

Product

Experimentation

Streaming

Analytics

AWS

Kinesis

AWS Kinesis

Analytics

Amazon

SNS

AWS

IoT SDK

ECOSYSTEM OF

SMART DEVICES

Amazon EMR

TIME TO INSIGHT

HOT

WARM

WARM

COOL

Amazon Machine Learning

AWS Lambda

AWS Kinesis Analytics

High Volume, Quick to Insights

Product Alerts, Threshold Monitoring

Critical User Event ID & Notification

Easy to Change, Serverless, Cheap to Run

Product Heuristics & Data Operations

Complex Event Profile & Business Logic

Pre-packaged ML Tools, Easy Model Creation


User Behavioral Analytics

Large Data Sets, Flexible BYO Analytic Engine

Historical Pattern Batch Analytics

Population/Fleet-wide Insight

Product Analytics Design PatternsAWS at the Speed of Insight

AWS IoT SDK

ECOSYSTEM OF

SMART DEVICES

Product Adaptation Design PatternsDesigning Products that Respond

AmazonS3

CRM Customer

Information

Store

AWS IoT

Certificate

AWS IoT Device

Shadow

AmazonMachine Learning

AWS Lambda

AWS IoT Device

Gateway

AWS IoT

Rules Engine

AmazonSNS

!

DEVICE

PUBLISHES

USER EVENT

DATA

IOT RULES

ENGINE IDs

EVENT, ROUTES

TO USER CHURN

ML MODEL

ML MODEL

DETERMINES

BEHAVIOR

PATTERN &

RETURNS

PROFILE

IOT RULES

ENGINE CALLS

LAMBDA FOR

THE PROFILE,

CREATES SNS

ALERT

LAMBDA

CALLS CRM

FOR USER VIP

STATUS, SETS

UPGRADE TO

SHADOW

DEVICE

RECONNECTS,

SHADOW PUSH

UPGRADE TO

RETAIN USER

AFTER:

VIP Upgrade Applied

to Retain Customer

BEFORE:

Behavior Analytics for

Product Satisfaction

Pitney Bowes

Our digital transformation: Helping clients and customers thrive in a physical and digital world

16Pitney Bowes | December 5, 2016

CommunicateIdentify

Locate Ship

Pay

• Design System

• Design Thinking

• Globalization

• SaaS

• APIs

• Mobile

Business SystemsCloud EnabledDesign Data

• IoT

• Data Platform

• Analytics

• Subscriptions

• Identity Management

• Provisioning

Pitney Bowes

Commerce Cloud

1.5M small and medium business

clients worldwide.

The experience our clients want

• Mailing and shipping in all global

markets is complex. Clients are

looking for simplicity.

Our IoT challenge

• Connect existing postal meters

in the field

• Develop new sending devices

Pitney Bowes Shipping & Mailing solutions: Providing a simplified experience for existing and new devices

17

Pitney Bowes | December 5, 2016

70+ interviews

3,024 people surveyed

Post Offices &

Shipping Vendors10

4 continents

Brownfield IoT: SmartLink™ solution for existing devices


Pitney Bowes

Commerce Cloud

SmartLink connects existing meters to

new tools and solutions via the Pitney

Bowes Commerce Cloud.

Connect: We make it simple to connect SmartLink™ devices.


Easy self-service instructions

less than 1%

support calls

for installation

help

Greenfield IoT: SmartLink™ solution for new devices


Pitney Bowes

Commerce Cloud

All-in-one easy-to-use mailing,

shipping and tracking

Pitney Bowes IOT Strategy


Automated

supply

replenishment

Error notifications;

just in-time

self-help tutorials

Personalized usage

insights and

recommendations

Automated

software

updates

Business benefits:

• Additional value to customers

• Increased customer satisfaction

• Digital relationships with clients

• Intelligence to drive actions

• Efficiency and cost savings

Connected devicesClient-facing digital services and applications

Proactive

Problem detection

and management

Automated

services

Intelligent predictive

analytics

Remote

management

Call center and services optimization

Telemetry

Commands

We’ve established a data platform with IoT and advanced spatial capabilities.


Secured Data Lake

Data

Pla

tfo

rmS

olu

tio

ns

Da

ta

Customers Partners PB Business

Data as a Service / API Management

Data Ingestion (Batch and Streaming)

Data

ScientistsPB Product

Teams

Device Data /IoT)Ecommerce &

ShippingEnterprise Mailing Data Location Intelligence Enterprise IT Partner

GeoEnrich

Compute

Experimentation and Data Exploration Production Applications

Visualize

Analyze

IOT Platform

Spatial Platform

We’re delivering personalized client experiences enabled by IoT.



Brownfield: Building an IoT Platform on AWS

Kinesis Stream

Lambda

Lambda DynamoDB

Elasticsearch

Amazon S3

PB Data Lake

Amazon EMR

Connect EnrichCollect

GeoEnrich

Compute

Analyze

Deliver Insights

Serve

Information

Device Info Service

Notifications Service

Command Service

Software Update

Automate

Analyze

Data Analytics Service

Client Apps

(mobile / web)

Alerts

Notifications

Device Analytics for

Client Care and

Field Services

Product Usage

and Analytics

CRM

Integration


Greenfield: Utilizing AWS IoT

Kinesis Stream

AWS IoT

Device Gateway

Lambda

Lambda

Elasticsearch

Amazon S3

PB Data Lake

Amazon EMR

Connect EnrichCollect

Deliver Insights

Serve

Information

Device Info Service


Command Service

Software Update

Automate

GeoEnrich

Compute

Analyze

Analyze


Client Apps

(mobile / web)

Alerts

Notifications


Client Care and

Field Services

Device Shadow

Rule Engine

Product Usage

and Analytics

CRM

Integration

DynamoDB


01 Connect

AWS IoT

Device Gateway

ConnectBrownfield:

• Electric Imp Cloud gathers data (telemetry) and sends

commands to device

• Device connects to Electric Imp via proprietary protocol

• Electric Imp Cloud connects to Kinesis stream on AWS

• Commands are sent from AWS to electric imp via REST API

Greenfield:

• AWS IoT simplifies cloud implementation for new devices

that will run AWS IoT SDK

• MQTT protocol between devices and AWS IoT;

• Secure communication using X509 certificate

Kinesis Stream

Device Shadow

Rule Engine


02 Collect, process and enrich

Kinesis Stream

Lambda

Lambda DynamoDb

Lambda

Elasticsearch

Amazon S3

PB Data Lake

Amazon EMR

EnrichCollect

GeoEnrich

Compute

Analyze

Device Shadow

Use AWS managed services

to process large volume of

data in real time from

millions of devices.

Location Intelligence and spatial

analytics are an important part of

IoT platform.

Lesson Learned: Kinesis

stream backup is a lifesaver.

Tip: Lambda supports

multiple languages

node/java/python. Its worth

doing performance

comparison across

languages to find the best fit.WEATHER

LOCATION

TRAFFIC

PB and

External Data

Sources

Amazon S3Rule Engine

WORLD

BOUNDARIES

POINTS OF

INTEREST

DEMO-

GRAPHICS


03 Act, automate and deliver insights

Customer-facing Apps

• Automate: software and rate downloads

• Serve: supplies auto-replenishment

• Serve: alerts and just-in-time self-help

• Analyze: usage insights and personalized

recommendations on how to reduce cost

PB Internal Apps

• Serve: create tickets and provide preventive

maintenance using integration with SalesForce

• Serve: provide device information and analytics to

client care and field services

• Analyze: nurture customer relationship based on

product usage by integrating with marketing

systems

• Analyze: learn from devices in the field to make the

next generation of products better

Deliver Insights

Serve

Information

Device Info Service


Command Service

Software Update

Automate

Analyze


Client Apps

(mobile / web)

Alerts

Notifications


Client Care and

Field Services

Product Usage

and Analytics

CRM

Integration

IoT is a journey and a continuous learning experience that transforms your organization.

Expand insight, enrich engagement and boost satisfaction.

Connected devices

Collect data

Enrich data

Analyze

Predict

Deliver insights

Act

Automate

Customers

Sales personnel

Customer care

Field service


Pitney Bowes digital transformation in the news


Best Business

Transformation

Award at IoT

World Congress

for SmartLink™

Winner of the Innovators Award at Oktane16

for championing innovation and cloud

Featured in The

Huffington Post

for our Design

Thinking approach

Listed as a company on the leading edge

of digital transformation

AWS IoT Announcements for

Living Products

AWS IoT GreengrassLocal AWS Lambda: When Your Data is Too Hot To Handle

AWS IoT DashboardsFaster, Easier IoT Data for People

AWS IoT Enterprise ButtonIoT Products Should be as Simple as Possible

Thank you!

Remember to complete

your evaluations!

Olga Lagunova (PB), Dr. Sarah Cooper (AWS)

Innovation after Installation:Establishing a digital relationship via AWS IoT

aws re:invent 2016: innovation after installation: establishing a digital relationship with aws iot...

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