Enterprises must transform at the pace of technology. Through chatbots built with Amazon Lex, enterprises are improving business productivity, reducing execution time, and taking advantage of efficiency savings for common operational requests. These include inventory management, human resources requests, self-service analytics, and even the onboarding of new employees. In this session, learn how Infor integrated Amazon Lex into their standard technology stack, with several use cases based on advisory, assistant, and automation roles deeply rooted in their expanding AI strategy. This strategy powers one of the major functionalities of Infor Coleman to enable their users to make business decisions more quickly.

1. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
AWS re:INVENT
Using a Digital Assistant in the
Enterprise for Business Productivity
H a r s h a l P i m p a l k h u t e , A W S
R i c k R i d e r , I n f o r
M a n j u n a t h G a n i m a s t y , I n f o r
M C L 3 0 8
N o v e m b e r 2 8 , 2 0 1 7

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Amazon Lex:
a service for building
conversational interfaces
using voice and text

3. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Text and speech language understanding
Speech
recognition
Natural language
understanding
Powered by the same deep learning technology as Alexa

4. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Complete solution
End to End
Speech to intent
ASR+NLU
integrated into
one API
Dialog management
Native support and
maintains context
Text to speech
Amazon Polly integrated
into API
Business logic
Native integration with
AWS Lambda
Deployment
One-click
deployment
Security
Encrypted data in
transit and at rest
Scale
Completely managed
service
Analytics
Monitor and improve

5. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
“Book a hotel”
Book hotel
NYC
“Book a hotel in
NYC”
Automatic speech
recognition
Hotel booking
New York City
Natural language
understanding
Intent/slot
model
UtterancesHotel booking
City New York City
Check In April 19
Check Out April 21
“Your hotel is booked for
April 19”
Amazon Polly
Confirmation: “Your hotel
is booked for April 19”
“Can I go ahead
with the
booking?”
a
in

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Amazon Lex
Utterances
Spoken or typed phrases that invoke
your intent
BookHotel
Intents
An intent performs an action in
response to natural language user
input
Slots
Slots are input data required to fulfill
the intent
Fulfillment
Fulfillment mechanism for your intent

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Amazon Lex—create a bot
1
2
Define sample
utterances
Define slots
Create bot

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2
3
Confirm
transaction
Fulfill transaction
1
Elicit
information
Interact with bot
Amazon Lex—interact with a bot

9. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Conversational access
On-demand
Accessible
Efficient
Natural

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Enterprise software
Complex
Domain specific
Evolves over a period of time
Customized
Constantly tuned for specific users
Configured for compliance requirements
Challenges
• Sub-optimal UX
• Multiple screens
• Multiple workflows
• Difficult to find information

11. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Conversational interfaces
Solution
Easy to find information
Users can ask questions directly
Consistent interface
Even as more information and workflows are added
Simplified integration with systems
New systems can be integrated via APIs

12. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Agenda
Infor overview
Introduction to Infor Coleman
Coleman and Amazon Lex skill execution
Enterprise architecture
Administration and customization
I n f o r a n d A m a z o n L e x
Rick Rider
Product Director,
Technology
Manjunath Ganimasty
VP Product Development,
Technology

13. 13Copyright © 2012. Infor. All Rights Reserved. www.infor.com 13Copyright © 2012. Infor. All Rights Reserved. www.infor.com 13Copyright © 2012. Infor. All Rights Reserved. www.infor.com
Infor is an enterprise
software provider and
strategic technology partner
for more than 90,000
organizations worldwide
Our software is purpose-
built for specific industries,
providing complete suites
that are designed to support
progress—for individuals,
businesses, and the world
Customersandinnovationatthecore

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Deep
industry
expertise

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Data mgmt
Data lake
Graph
Data catalog
Data services APIs
Data pipelines
Archiving
A I a t t h e c o r e
o f I n f o r C l o u d S u i t e
UX
Portal
In-context
Homepages
Search
Chat
Documents (IDM)
Process integration
Activity monitoring
Workflow
API Gateway
Orchestration
Mapping
Mediation
iPaaS
Single Sign On
Users / Roles
Groups
Auditing / Monitoring
Risk and Compliancy
Insights
SECURITY
Single sign-on
Users/roles
Groups
Auditing/monitoring
Risk and compliancy
Insights
Security
PaaS
Dev framework
Composite apps
Soho UX library
Reports
Extensibility
Single Sign On
Users / Roles
Groups
Auditing / Monitoring
Risk and Compliancy
Insights
SECURITY
Digital assistant
Automated skills
Contextual AI
Image recognition
AI PaaS
Coleman AI IoT
IoT portal
Connectors
Embedded EAM
Analytics
Electronic messages
Reports
Tax engine
eAccounting
Financial controller
Submission portal
Localizations

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A I t h a t m a x i m i z e s h u m a n p o t e n t i a l
Digital assistant
Product skill builder
Custom skill builder
Voice analytics
Voice navigation
Hands-free enablement
Mobile extensibility
Image recognition
Custom image analysis
IDM connection points
Facial authentication
Mobile extensibility
Augmented reality
Coleman AI PaaS
Data preparation
“Data science playground”
Build, test, deploy AI models
Intelligent applications
Intelligent services
AI skill marketplace
Neural network modeling

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Conversational UX
A I a t t h e c o r e
o f I n f o r C l o u d S u i t e
A I t h a t m a x i m i z e s h u m a n p o t e n t i a l
Augments Automates Advises

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Demo—Coleman and Amazon Lex
Chat Voice Image
recognition
Conversational UX

20. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Why Amazon Lex?
- The success of Alexa in the consumer voice assistant market
- Based on the same deep learning, NLU, and ASR technologies
that power Alexa
- Perfect match of flexibility for our business applications:
• Deliver prepackaged skills catered to specific
industries
• Allow customers to build custom skills
- Open APIs for programmatically creating, managing, and
executing skills
- Supports all combination of text/voice input and output
- Historical success of Infor CloudSuite applications with AWS
Services

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High tech HealthcareOil and Gas Public SectorHealthcare Manufacturing
Infor application deployment
CustomerA1 Customer An Customer B1 Customer Bm Customer C1 Customer Cn
Themes
• Multi-tenant deployment model
• Customer-specific combination of applications
• Each customer has multiple skills that may be either standard or custom
CloudSuites in US East CloudSuites in Frankfurt CloudSuites in Ireland
Customer
A1 - Data
Customer
An - Data
Customer
B1 - Data
Customer
Bm - Data
Customer
C1 - Data
Customer
Cn - Data

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Mobile
Applications
Mobile
Applications
Amazon Lex and Coleman architecture
Infor Ming.le
Chat
Infor
Coleman
Voice
Assistant
Mobile
Applications
Infor
Coleman
Skill Builder
ION API
Gateway
Amazon Lex
Runtime
Service
Amazon Lex
Config
Service
Infor
Coleman
APIs
AWS
Lambda
Infor Coleman
Backend
Service
ION API
Gateway
Infor
Application
1
Infor
Application
2
Infor
Application
3
Infor
Application
n
Infor Coleman Skills
(Standard/Custom)
Third-party
Application

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Customized skills
Customer—
Alpha
(US East)
Customer—
Beta
(US East)
Customer—
Gamma
(Ireland)
Infor Standard
PTO Request
Skill
Infor Standard
PTO Request
Skill
Custom PTO
Request Skill (1)
Custom PTO
Request Skill (2)
Infor
CloudSuite
(US East)
Infor
CloudSuite
(Ireland)
Customer—
Alpha - Data
Customer—
Beta - Data
Customer—
Gamma - Data

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Custom
skill builder

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Demo—Coleman and Amazon Lex
Skill management (Lex APIs)
Custom skill creation
Custom skill execution

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Amazon Lex integration
Amazon Lex and Infor
A m a z o n L e x a n d I n f o r

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Building blocks
Conversational interface
Modality, dynamic, platform
Application deployment
Lifecycle management, dialog management
Customized solution
Granular APIs, authorization, built-ins
Integration with AWS services
Validate, control, notify, monitor

28. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Conversational Interface
Multiple modalities
- Same bot can support both speech and text
- All combinations with speech in, text out
Accurate and dynamic
- Sample utterances used to build speech model
- Simple speech markup language (SSML)
Comprehensive analytics
- Missed utterances on dashboard
- AWS Lambda and Amazon CloudWatch metrics
Multi-platform
- Native AWS Mobile Hub support
- One click deployment on Facebook, Slack, Twillio
• Speech in, text out
• Hands-free, voice navigation
• Analytics
• Mobile extensibility

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Application deployment
Complete lifecycle management
- Alias (dev–stage–prod)
- Versioning
Native dialog management
- Each customer has their own model
AWS Lambda integration
- Lambda integration to validate and fulfill
- Map skills to chatbots per application and customer
• Multi-instance deployment
• Multiple skills (custom, prebuilt)
• Different application combinations

30. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Customized solutions
Granular resource level APIs
- Build custom skills
Authorization
- Resource-level access for shared resources
Built-ins
- Slot types, intents
• Resource access at scale
• Multi-tenant

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TBD
http://www.infor.com/product-summary/technology/OS/
http://www.infor.com/product-summary/technology/coleman/
Infor Technology demos:
https://vimeo.com/platformtech
Resources:

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Thank you!