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

Mik Cox, Data Scientist, JPL

Noelle LaCharite, Sr. Technical Program Manager, Alexa Machine Learning

Tom Soderstrom, IT Chief Technology and Innovation Officer, JPL

November 2016

ALX301

Alexa in the EnterpriseHow JPL Leverages Alexa to Further Space Exploration

with Internet of Things

What to Expect from the Session

Alexa at JPL

Introduction to Alexa

Questions

V O I C E W I L L B E E V E R Y W H E R E

The Internet of Things is emerging as the third wave in the life-cycle of the Internet. Its growth is enabling new and expanded businesses

while also powering revenue generation, productivity and cost savings and consumer engagement.

‘11 ‘19‘15

OVER 60 MM CARSConnected Car Penetration

2020 Projections

Source: IDC Goldman Sachs Investment Research

45 MM HOMESConnected Home Install Base

2017 Projections driving over $12 BN in Revenue/Year

Source: Berg Insight

$20 BN/YEARWearable Market Revenue Generation

2017 Projections

Source: IDC Goldman Sachs

Investment Research

Source: Gartner; Goldman Sachs

Investment Research

28 BILLION “THINGS” BY 2019

E N A B L I N G T H E F U T U R E

I N T R O D U C I N G

A L E X A

We also recently launched

Fire TV with Alexa integrated

directly into the device.

Simplifying everyday actions

with voice on new and familiar

devices.

& F I R E T VM E E T E C H O

The First

Alexa

Endpoints

The Echo is the first and best-known

endpoint of the Alexa

Ecosystem…The Echo was built to

make life

easier and more enjoyable.

B U I L D I N G F O R

A L E X A

Create Great Content:

ASK is how you connect

to your consumer

H O W I T W O R K SSupported by two powerful frameworks

A L E X A

V O I C E

S E R V I C E

Unparalleled Distribution:

AVS allows your content

to be everywhereLives in the cloud

Automated speech recognition

(ASR)

Natural language

understanding (NLU)

Always learning

A L E X A

S K I L L S

K I T

Refrigerator

Alarm Clock

Echo

Tablet

Wireless Speakers

E-Reader

Laptop

Camera

Lightbulb

VR Headset

HeadphonesToaster

Phone

Television

Fitness band

Car

9

Watch

“Alexa…”

P O I N T S O F A C C E S S

j p l . n a s a .

g o v

Caltech

Alexa at JPL

Are we alone?

How do we protect Mother Earth?

How do we divert an asteroid?

Can we find Earth 2.0?

Is/was there life on Mars?

How did the Universe form? Where is it headed?

Methodology and Agenda

1. Predict human behavior to tell us what is worth trying

2. Forecast the relevant technologies

3. Prototype and demo them quickly with relevant

use cases with our own data to gain feedback

and other collaborators

4. Determine the impact and double down on the

important ones

Human Behavior IT Trends, 2015-2018

WHO: INTREPRENEURS • MAKERS • CROWD/PARTNERS • FROM EVERYWHERE AT ANY TIME

HOW: OPEN • AGILE • PROTOTYPING • CROWD SOURCING • CONSUMERIZATION

WHAT: SMART DATA • ANALYTICS • CLOUD • DEEP LEARNING

WHAT: INTERNET OF THINGS • INNOVATION VIA COMBINATIONS

WHAT: NATURAL USER INTERFACES • WEARABLES • CONVERSATION UI

CHALLENGES: CHAOTIC ARCHITECTURE • AUTOMATION • CYBER SECURITY

Foretells what technologies can/will be adopted in the enterprise

Predict the key IT disruptors facing us

CONSUMER SPACE ENTERPRISE SPACE

DISRUPTION OF

THE ENTERPRISE

E4

ENGAGE

&

ENABLE

EVERYONE

&

EVERYTHING

How can we benefit from the IoT hype and

trends?

Enable rapid

prototyping of

new

combinations

PLATFORMS &

ENABLEMENT

APPLICATIONS

BUILDING

BLOCKS

The First of JPL’s Alexa Use Cases

1. Querying / Asking

• Help JPLers (and the general public) find the information faster

2. Commanding / Telling

• Not just a tool for asking questions. Use voice as a trigger

3. Give our robots a voice!

• Interact with computation the same way you interact with a person

JPL’s Alexa Architecture

AWS IoT

AWS Lambda

JPL Net (secure)

JPL Analytics Cloud

JPL Devices (less secure)

Querying / Asking

The Challenge:

• Lots of information at JPL. We

have the answers... But where?

• Need more intuitive, faster ways to

ask for (and receive) JPL

information for JPLers

• Conversational platform to leverage

already-existing compute

capabilities

Alexa Solution:

• “JPL Info” skill: information about

JPL for JPLers

• “OCIO Dashboard” skill: query for

information on our current IT status

• NASA Mars Alexa Skill

NASA Mars Alexa Skill

<Screenshot of Alexa skill in skill

store>

<Screenshot of NASA Mars

companion webapp>

Available now: Get the latest news from Mars with Alexa!

Commanding / Telling

The Challenge:

• Alexa is not just an answer-bot.

• Use voice to trigger complex

actions

• More intuitive interface to device

control

Alexa Solution:

• Device control: projectors, lights,

clean room cranes. (spacecraft??)

• Chat tool integrations

• “Suggestions” skill so any JPLer

can add suggestions on the fly

Giving Our Robots a Voice

Rov-E Demo Time !

Giving Our Robots a Voice

Demos

Here are the use cases we will be demonstrating:

• Demo 1: Ask a Mars question

• Demo 2: Tell Rov-E to drive

• Demo 3: Tell Rov-E to follow

• Demo 4: Build a skill like NASA Mars

Giving Our Robots a Voice

Use Case 1: Ask a Mars question

Giving Our Robots a Voice

Use Case 2: Tell Rov-E to drive

Giving Our Robots a Voice

Use Case 3: Follow me

Build Your Own Skill

Let’s walk through the steps we took to build the NASA

Mars Skill.

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

Thank you !

Mik Cox - JPL Data Scientist

Noelle Lacharite

Tom Soderstrom - JPL IT Chief Technology and Innovation Officer

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