Did you know that workers in banking and insurance spend almost one hour every day just looking for information they need to do their jobs? Or that UK financial firms have an average of 9 information management systems in place and that 80% report these systems aren’t fully integrated? Not only is content inherently hard to manage, but the volume, variety, and complexity of content are growing at an unprecedented rate. Further, many firms continue to struggle with outdated systems and a growing number of information silos. And, all of this comes at a time when digital transformation is a critical imperative and content is becoming increasingly important for firms seeking to improve customer experiences, collaboration, increase productivity, or comply with new regulations like GDPR. In this webinar, you will learn: - How to break down information silos and provide a single, comprehensive view of content - What new types of content are emerging and how leading companies are leveraging these assets for competitive advantage - How to use AI and machine learning to enrich content and bring new automation and insight - And, how to increase knowledge worker productivity with a modern content services platform

1. Content, Artificial
Intelligence, &
Productivity

2. Today’s Webinar
Productivity
challenges
1
Modern content
management
2
The increasing
role of AI
3
Some practical
examples
4

3. productivity noun
pro·​duc·​tiv·​i·​ty | prō-dək-ˈti-və-tē
Definition of productivity
1 : the quality or state of being productive
Source: Merriam-Webster Dictionary (2020)

4. productive adjective
pro·​duc·​tive | prə-ˈdək-tiv
Definition of productive
3 a : yielding results, benefits, or profits
b : yielding or devoted to the satisfaction of wants or
the creation of utilities
Source: Merriam-Webster Dictionary (2020)

5. Different types of
productivity
5
Third-party
productivity
Customer
productivity
Employee
productivity

6. Using these slides
There are a number of slides included in this deck for both internal
and external users. The slides with a Black titles can be shared
with customers and the ones in Purple are for internal use only
Productivity
Today’s world = new
challenges

7. Organization’s systems are not fully connected to each other
Time spent daily looking for information
See the potential
of AI to automate
mundane tasks
*Results of a November 2019 survey of UK Financial Services companies
Believe their
organization lacks the
skills to capitalize on AI
Average
number
of solutions
60% 60%
In 20+ years of
enterprise content
management,
nothing has really
changed
52
mins

8. Content Productivity
Challenges
Business apps
& systems are
multiplying
Remote working
& mobile devices
increase
complexity
Outdated
technologies
have created
information silos
And, we need to
perform work at a
never-before-seen
scale
Demand for
data has never
been greater
Diversity of
information is
increasing
Can’t deliver
information to
the point where
work is done
Users can’t
access
information when
they need it
Critical business
information is
hard to find,
harder to manage
Simply put, many
systems just can’t
keep up with it all
Data makes
content
accessible & fuels
transformation
New types can be
hard to find &
require special
tools

9. Using these slides
There are a number of slides included in this deck for both internal
and external users. The slides with a Black titles can be shared
with customers and the ones in Purple are for internal use only
Modern Content
Demands a modern
solution

10. Modern Content Brings New
Challenges

11. Silos aren’t
going away
 Information silos are a reality of the
modern workplace
 Content-centric apps are multiplying
and many offer rich user experiences
 People will continue to use apps and
services that make them more
productive
 The legacy approach was to put
everything in one repository
 Clearly, this is not a viable approach
for modern content management

12. Intelligent
Information
Management
12
Information = data +
content
Readily accessible Contextual
Available anywhere Governed & secure

13. Content as an
Enterprise Service
Applications
Content/Case
Management
Solutions
Business &
Productivity Apps
Mobile Apps &
Services
…
Content Services Platform
Content Models &
Lifecycles
Content
Delivery
Metadata
Enrichment
Enterprise Case
Management
Data Model
Security
& Audit
Query
& Search
Ingestion
Universal Data Model
Comprehensive API
Data & File Storage
Legacy ECM
Amazon S3 &
Glacier
EFSS …
 Establish a common service for content,
regardless of where it is stored
⁃ Single API for access to content
⁃ Standard data model
 Deliver information when, where and
how it is needed
⁃ Support mobile access and customer
self-service use cases
⁃ Access to content in the “context” of the
work users are performing
⁃ Rapidly develop purpose-built content &
case management applications
13

14. Using these slides
There are a number of slides included in this deck for both internal
and external users. The slides with a Black titles can be shared
with customers and the ones in Purple are for internal use only
AI & Productivity
A new tool for today’s
information challenges

15. What Types of Productivity
Problems Does AI/ML Solve?
15
InsightExtract Automate

16. Any Number of Public
Cloud Services for AI…
0001000111010111
1000111010111010
1110101100110011
1010110011100011
1100110010111001
 Pretrained machine learning models
 Provide commodity services:
⁃ OCR/ICR
⁃ Sentiment analysis
⁃ Translation
⁃ Transcription (speech-to-text)
⁃ Facial/celebrity recognition
⁃ Etc.
 Stackable or stand-alone
 Look for standardized approach to
connect
 But beware the law of large numbers

17. Land Vehicle Vehicle Car Motor Vehicle
Transport Parking Mode of Transport Van
Automotive Tire Bumper MinivanTire
Sport Utility Vehicle Family Car
Vehicle Registration Plate
Chevrolet Tahoe
Asphalt Gas Minibus
Generic Services = Generic Data
Note: Depicts actual data generated from accident image by Google Cloud Vision API service
Demos ability of AI/ML to
apply data to assets
Generally useful in
increasing findability and
reuse
Relevancy and accuracy of
the model is inherently
limited
1
2
3
Model returns a set of labels
lacking business-critical
data elements
4

18. Custom ML Models =
Business-Specific Data
Brand: Chevrolet
Model: Tahoe
License St.: Illinois
License No.: K24 1771
Custom models produce much
more relevant data values1
True entity extraction
enables workflow
automation
2
Business value inherently
increases with specificity of
the data generated
3
Veh. Color: Gold Mist Metallic
Brand: Dodge
Model: Ram Van
License St.: Illinois
License No.: XXX 8242
Veh. Color: Bright White
Operator: John Smith

19. Enriching Content
Across the Enterprise
19
Master Metadata Model
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E
Metadata F
System 1 System 2 System 3 System 4 System n
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E
Metadata A
Metadata B
Metadata C
Metadata D
Metadata E

20. Intelligent Automation
for Onboarding
20
What form
is it?
Is it complete?
Has it been
signed?
Form
Processing
Yes
No
1 Classification
2 Exception handling
3 Entity extraction
4 Intelligent routing

21. New Insights
Enhance Automation
21
1 Image processing
2 Fraud detection
3 Damage comparison
4 Intelligent routing
Duplicate
photo?
Damage
Estimate
Yes
No

22. A Simple but
Powerful Example
22
 Current proof-of-concept
project for a leading hotelier
 Global knowledge
management platform
⁃ Technical manuals, best
practices, brand guidelines,
etc.
 Automatically categorize
new documents by type,
region and brand
 Publish document to
appropriate regions & brands
 Not unusual for one
document to apply to 5
different regions and 10
different brands

23. 23
The Larger
Promise of AI
Understand content and
data as well as a
knowledgeable human,
but at scale.
Predictively deliver
information
Identify outlying data
points
Analyze usage &
importance
Recognize patterns &
connections

24. Using these slides
There are a number of slides included in this deck for both internal
and external users. The slides with a Black titles can be shared
with customers and the ones in Purple are for internal use only
Productivity
It’s not just about your end
users either

25. Low-Code UI for AI/ML
25
“Point n’ click” interface for configuring new ML models
Simple, intuitive tools to track training progress
Intelligent dashboards to monitor ML model performance

26. Low-Code App Development =
Easier to Deploy New Solutions
26
Flexible &
reusable
templates
Drag ‘n drop
configuration
Common
platform &
design tool
Continuous
innovation

27. Connect Consolidate
Connect to existing data
and content sources
Migrate content and
retire legacy systems
Key Benefits:
 Integrate multiple repositories
 Extend value of existing
systems
 Rapid ROI
 Quickly establish consistent
foundation for modernization
Key Benefits:
 Reduce reliance on legacy
systems
 Decrease total cost of
ownership (TCO)
 Support cloud initiatives
 Single, future-proof platform
time
Rational Approach to Modernization

28. Cloud Can Get You
There More Quickly
 But not a “one size fits all approach”
⁃ Cloud-native, not “cloud only”
 Nor on-premises vs. cloud
⁃ Self-managed vs. vendor-managed
⁃ Or, even hybrid configurations due to regulations
 Point is that a modern Content Services
Platform should give you choices

29. Using these slides
There are a number of slides included in this deck for both internal and external users. The slides with a Black
titles can be shared with customers and the ones in Purple are for internal use only
Putting it Together
Some customer examples

30. Future-proofing a top
UK bank
Challenges
 Growing volume of
documents spread across
locations & systems
 Increasing security &
regulatory compliance
mandates
 Lack of resource to
develop own solution
 Rapid growth further
exacerbating issues
Benefits
 Substantial cost reduction
 New mobile app for
personalized statement
delivery
 Prompt response to
Subject Access Requests
 Foundation for ongoing
digital transformation
(agile/DevOps)
Solution
 Migrate 2.5B documents to
Nuxeo Platform
 Replace multiple legacy
ECM systems
 Seamlessly integrate to
existing customer service
systems

31. Modern, Platform-as-a-
Service for Content
Challenges
 Modernize IT to compete
with new market entrants
 Replace OpenText solution
 Proliferation of doc types
made it difficult to find
information
 2-step migration approach
 Spain & Mexico, then Peru &
Columbia
Benefits
 Streamlined exchange of
customer information =
enhanced CX
 Faster time to market for
new products & services
 New PaaS completely fits
new technological landscape
 Improved relationship
between IT & business
Solution
 Global PaaS for document
management, deployed
country by country
 OpenShift deployment for
each country
 Federate existing LiveLink
object stores
 New global discipline for
managing document types

32. Busting silos to
improve CX
Challenges
 Build sustainable client
relationships by offering
transparent & simple
products
 Multiple instances of
legacy ECM solution –
siloed with different UIs, data
models, repositories
 Difficult to integrate with
existing IT landscape
Benefits
 “With Nuxeo, we’re now able
to harmonise our IM land-
scape, which is incredibly
valuable because it enables
us to better manage and
utilize information for a
better customer experience.”
 Substantial cost reduction
 Compliance with GDPR
Solution
 Migrate 15B documents
over the next 3 years to
Nuxeo Platform
 Replace multiple legacy
ECM systems
 Also manage voice, chat,
audio & other rich media

33. Questions?

34. Thank you for your time today!
Read the complimentary 2020 Aragon Research
Globe report to help you evaluate vendors’ ability
to deliver Enterprise Content Platforms that
enable and empower digital business.
https://www.nuxeo.com/resources/aragon-ecp-report/
Thank you