In today’s world, where many businesses are struggling to simply survive COVID-19, some companies are thriving in this environment and accelerating their digital strategies, not by necessity, but as an opportunity to seize competitive advantage.
In this webinar, we will explore how modern content platforms play a key role in enabling digital transformation and how new trends and capabilities — like Cloud, Low-Code and Artificial Intelligence — are enabling some of today’s largest enterprises to accelerate their transformation initiatives. Our webinar will feature two different case studies where leading enterprises are leveraging these technologies as the digital foundation for their future businesses.
In this webinar, you will learn:
- How modern content platforms are tearing down information silos to deliver data and content when, where, and how it is needed
- How modern content platforms take unique advantage of cloud infrastructures
- Why low-code application development is critical to business agility
- What AI capabilities are available today that are completely transforming how customers work with data and content
- How a large US insurer is using Nuxeo, Guidewire, and Smart Communications, all on AWS, to modernize their claims architecture
- And, how a $13B global apparel company is using Nuxeo and its Insight service (AI/ML) to institute a wholly digital supply chain
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Enabling Digital Transformation Amidst a Global Pandemic | Low-Code, Cloud, AI and Modern Content Management
1. Digital Transformation Amidst a Global Pandemic
Low-Code, Cloud, AI and
Modern Content Management
Sean Baird
Director of Product Marketing, Nuxeo
December 2020
Vineet Bhandari
Head of Customer Success, Cognizant
2. What is
Digital Transformation?
2
Digital
Technologies
Leverage:
• Cloud
• Content services
• Artificial intelligence
• Process management
Your
Business
To modify existing:
• Business processes
• Culture
• Customer experiences
Digital
Transformation
To meet changing:
• Business conditions
• Market disruption
• Competitors
4. of ECM
and nothing
has really
changed...
YEARS % % MIN
Believe their organization
lacks the skills to capitalize
on AI
See the potential of AI to
automate mundane tasks
Time spent daily looking for
information
Organization’s systems are not fully
connected to each other
Average number
of solutions
9
6. Modern Content
Requirements
SUPPORT
digital form factors
DELIVER
insight & intelligence
EMBRACE
new content types
ENSURE
governance & security
ACCELERATE
cloud adoption
MAKE IT EASY
to build new apps
BRIDGE
information silos
OPERATE
at extreme scale
7. Legacy ECM
Challenges
Legacy ECM
Single repository
solutions
Suites
not a platform
Pre-cloud
architectures
Difficult
to develop on
Expensive
to own & operate
12. 1500+
Consultants
900+
Projects
300+
Clients
15+
Years of Experience
PARTNERS WITH TOP CONTENT
SERVICE PLATFORM VENDORS
DIGITAL CONTENT CENTRIC
SOLUTIONS
AGILE, DEVOPS , DIGITAL
ENGINEERING BASED SOLUTION
SMART SEARCH AND
INSIGHTS
CONTENT
MODERNIZATION
COGNITIVE
CAPTURE
COMMUNICATIONS
MANAGEMENT
Content Service Platform (CSP) Practice Overview
13. Nuxeo Competency
IMPLEMENTATION
On-Premise, SAAS, Cloud-Based, or hybrid
Flexible onsite-offshore resourcing model
Integrations with the existing digital ecosystem
MIGRATION
Migration of content from existing platforms to target system
Multiple data migration options suited to business needs
CSP STRATEGY
Current state assessment and strategy
Future state definition and solution evaluation
EVALUATION
Fit Gap analysis, Feasibility Studies and Assessments
Content modernization
TESTING SERVICES
TRAIN
Train the trainer methodology
Workshops, Go-Live Webinars, User Training Guide
LIBRARY MANAGEMENT & GOVERNANCE
Formulate organized vocabulary for the metadata
Taxonomy Maintenance & Workflow Approvals
CHANGE MANAGEMENT
Key organization enablers to drive adoption of new
platform
Ensure smooth global rollouts and on-boarding
SUPPORT
Varied support options (8X5, 16X5, 24X5)
Local language support
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
Cloud
Unlocking new accessability
& scale to transform the
business
15. Cloud should be
about choice
No longer on-premises vs. cloud
No “one size fits all”
Self-managed vs. vendor-managed
Hybrid configurations due to regulations
Need to support customer preferences
And operate at Cloud scale…
16. Cloud architecture
matters
Individually scalable services
Elastic scaling for peak volumes
Multi-tier archiving support
Serverless scalability for compute-intensive
activities
Edge caching and CDNs for global delivery
Open architecture to support customer
preferences
17. Document management for a Fortune 500 retail-pharmacy
Business
Challenge
Cognizant
Solution
Business
Benefit
SILOED document
management systems
on aging legacy
technologies
LESS flexible workflow
to keep up with the
changing business
demands
IMPLEMENTED
greenfield Nuxeo
solution on AWS Cloud
using a phased
approach
AUTOMATED 10+
document centric
workflows across 60
internal departments
CUSTOM integration
mechanism between
Nuxeo, SAP, KMS and
SharePoint
Improved COMPLIANCE
with centralized storage
along with historic
content (15+ years)
migration
TCO SAVINGS
($200K per year) by
migrating away from
legacy technologies
Improved
PRODUCTIVITY with
process workflows
automation and
enhanced search
LIMITATION in
integrating with other
business applications
viz. SAP, KMS
Nuxeo on AWS Cloud
18. 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
Artificial Intelligence
Utilizing machine-learning
models for data enrichment
19. THERE
ARE
TYPES
OF AI
Enrich.
Decide.
Optimize.
GENERIC
• Connect to a broad set
of public services
• Commodity models
provide generic
services
BUSINESS-
SPECIFIC
• Deliver highly relevant
insights and
enrichments
• Custom models deliver
more meaningful
outcomes for business
20. 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 AI = Generic Data
Note: Depicts actual data generated from Ford 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
21. 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
22. Intelligent automation for
routine tasks
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
23. Bring new insight to
your business
1 Image processing
2 Fraud detection
3 Damage comparison
4 Intelligent routing
Duplicate
photo?
Damage
Estimate
Yes
No
24. An AI that Understands
Your Business
Crafted
specifically
for you
Not built
only for
ML experts
Auditable &
understandable
by the business
25. AI must quickly and
easily identify
new insights and
promote automation.
26. Leverage AI’s true transformational potential for a CPG client
Address usage pain points
Low quality tags: when not enough time is spent on adding tags
Loss of productivity – when more time is spent on adding tags or searching content
PHASE 2
Build AI + ML models to ….
Train to classify business metadata
Identify duplicates to optimize storage
Identify adaptations and renditions to
ensure usage and compliance
Auto-archive based on usage patterns to
minimize storage costs
PHASE 1
Used industry-leading AI tools for intelligent classification and tagging
95% 87%
of content was
enriched with
AI tags
8
hours
of AI tags were
recognized as
relevant
saved for
tagging every
100 documents
36%
more tags per
content – that
improved search
26%
increase in user
sessions ending
with downloads
27. 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
Low Code
Enabling fast time-to-value
and continuous innovation
28. Low Code Reduces Time to Value
Software asset
libraries
Reusable
components
Templates Configuration
30. As Easy as 1 – 2 – 3
DESIGN
• Visual design paradigm
• Configure data types
• Graphically build workflows
× Design app with graphical
design tools
• CI/CD
• Fast refresh to deploy
changes
× Refine solutions over
time
REFINEFINE TUNE
• Elements catalog
• Development toolbox
× Tailor your app to meet
specific requirements
Low-code, “point and click” experience
31. Digital Asset Management use case
An interface for brand marketers to easily collaborate with creative agencies to create and
distribute digital assets
Define a custom UI template… using intuitive configuration tool (Nuxeo Studio)
Quickly configure creative approval process… using Nuxeo GUI workflow builder
Simplified user management… using Nuxeo administration panel
Optimize storage costs… using AWS (S3 and Glacier) accelerator tool
Low code helps to… build… learn… adapt
32. 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
Modernization
Connect & consolidate =
rational approach
33. A Rational Approach
to Modernization
CONNECT CONSOLIDATE
• Integrate multiple repositories
• Extend value of existing systems
• Rapid Return on Investment (ROI)
• Quickly establish consistent foundation
for modernization
Connect to existing data
and content sources
Key Benefits
• Reduce reliance on legacy systems
• Decrease Total Cost of Ownership
• Support cloud initiatives
• Single, future-proof platform
Migrate content and
retire legacy systems
Key Benefits
Time
34. 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
Two-step migration
approach
Start with two key countries,
then expand to other markets
Benefits
Enhanced customer
experience – streamlined
exchange of customer info
Accelerated 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
35. Unlocking Real Business Value
Accelerate journey
to the Cloud
Gain new insights
from information
Optimize
business processes
Digitally transform
your business
37. Read the complimentary Gartner Magic
Quadrant to help you evaluate vendors’
ability to deliver Content Services
Platforms (CSPs) that enable and
empower digital business.
https://www.nuxeo.com/resources/gartner-magic-
quadrant-content-services-platforms/
Editor's Notes
8/10 organizations say their systems aren’t fully integrated
9 is the average number of IM solutions for these orgs.
Too many systems, not connected = a hour, on average, every day spent looking for information
Many see the potential for AI, but worry they’re not in a position to capitalize on it
Same questions 20 years ago, same answers
Content management has always been about data (not content). Easy to store a document, it’s hard to do it well.
Content needs to be:
Readily accessible (easy to find)
Contextual (use it to perform work)
Available anywhere (mobile devices and now, remote working)
Compliant and secure
Data makes this possible.
Bottom line, information should be instantly available to the people who need it and have the right to access it.
No longer a discussion of on-premises vs. cloud
And, cloud is also not “one size fits all” (SaaS offerings)
Self-managed vs. vendor-managed
Data privacy and locality regulations may dictate hybrid configurations
Need to support customer preferences for cloud infrastructure providers, storage options and even services
“The traditional drivers of cloud computing—cost savings and pay-as-you-consume contracts—will likely continue to push usage. Yet the next round of adoption will likely be driven by other key benefits that cloud offers—namely speed, flexibility, and scalability.”
- Deloitte, 2019
No longer a discussion of on-premises vs. cloud
And, cloud is also not “one size fits all” (SaaS offerings)
Self-managed vs. vendor-managed
Data privacy and locality regulations may dictate hybrid configurations
Need to support customer preferences for cloud infrastructure providers, storage options and even services
“The traditional drivers of cloud computing—cost savings and pay-as-you-consume contracts—will likely continue to push usage. Yet the next round of adoption will likely be driven by other key benefits that cloud offers—namely speed, flexibility, and scalability.”
- Deloitte, 2019
Generic:
Connect to a broad set of public services for common use cases (general classification, enrichment, OCR, speech-to-text, etc.).
Commodity models provide generic services.
Specific:
Deliver highly relevant insights and enrichments to enable specific business use cases / domains.
Custom models deliver more meaningful outcomes for business.
Two things to note here:
Much more accurate data
Not tagging, full entity extraction (i.e. brand = Chevrolet)
Why is this important? This is how you automate a process. Can’t do this with tags.
Can we do this today? Absolutely.
Nuxeo Insight – Service that allows our customers to train their own models using their own content and data
60% of inbound forms are handwritten
But you say: Chris, wait, we’ve been doing forms processing for years…
Yes, but this content isn’t just in the mailroom anymore. Come from anywhere in the organization (email, text, social…need an enterprise service, not a mailroom scanning operation)
Templates: Start with standard templates or reuse existing configurations to build new apps
Reusable Components: Speed up application delivery by reusing existing user interface or AI configurations
Software asset libraries: Draw upon vast libraries of proven software assets
Configuration: Rather than complex customization, low-code enables efficient
Enables even casual users to not only define and train new ML models, but also easily deploy and administer these models in production use cases.
Worldwide Financial Services company
Critical challenge was that they were not able to access customer data across different silos and processes
New PaaS + Federation (LiveLink) … all metadata ingested into Nuxeo data model (single source of the truth)
NOT using Simflofy; built their own integration to OpenText LiveLink (as well as some other existing file stores)
Using Nuxeo’s binary manager (same component we use for Simflofy integration and Live Connect for Box, Dropbox, Google Drive, etc.)
Spain: Employee HR documentation; customer avatars for mobile app
Mexico alone is 1.5 petabytes of content
Procurement, contracts, etc.