This document discusses how organizations can provide a unified search experience for remote workforces. It outlines how COVID-19 has increased remote work and impacted productivity. It then discusses how to transform workforces to the "new normal" by providing a single source of information through search. The rest of the document discusses solutions like Lucidworks Fusion to power search and analytics across structured and unstructured data sources. It also outlines Xenit's capabilities in integrating with Fusion to power search across Alfresco repositories.

1. 1
Todays Speakers
Simon Taylor
VP Global Partners & Alliances
Lucidworks
Ronny Timmermans
CEO & Managing Director
Xenit Solutions

2. 2
Dissemination
of Information
to the Virtual
Workforce
TA K I N G S T E P S T O A C C E L E R AT E R E M O T E
W O R K F O R C E P R O D U C T I V I T Y

3. How Covid-19 Impacted Organizations
Time
Steady Workplace
Transformation
75% Expanded
Work-from-Home
Policies
62% Fall in Employee
Productivity
31%-52% Current or Anticipated
Business Disruption
43% Increased
Spending on
Information
Collaboration
80% Expecting continued remote working
and social distancing in office workspace –
12-18 months
1Gartner – Return to the Workplace – May 2020 | 2451 Group – Covid-19 Flash Report, March & May 2020

4. Transforming to the “new” normal
75% of organizations have or will be implementing
expanded work-from-home polices2
33% of US workers [are] too anxious to come back to a
physical location2
38% that think work-from-home policies will become be
long-term or made permanent2
62% experienced a fall in employee productivity2
41% report having already felt an internal strain on their
IT resources.
51% [of public sector professionals] identified lack of
internal coordination as the greatest challenge to
government transformation programs1
1EY/Government Business Council | 2451 Group, March & May 2020

5. TRANSITIONING TO A VIRTUAL DIGITAL
WORKPLACE
IS CHALLENGING

6. Top Priorities
o PROVIDE A UNIFIED SINGLE SOURCE OF
INFORMATION [I NC . C USTOM ER DATA]
o ENABLE EMPLOYEES & CUSTOMERS TO ACCESS KEY
INFORMATION QUICKLY & EASILY
o PROVIDE RICHER DATA INSIGHT FOR LINE OF
BUSINESS DECISION MAKERS
Voice of The Enterprise: Workforce Productivity & Collaboration, Employee Lifecycle | 451 Group Research, Q2 2019

7. We need to connect people to data insight?
Predictable, data quality, unification & access
BEFORE
Empowered data consumers seek insight and
drive productivity on their own
NOW

8. Data Scientist Driven Activity Business Alignment
Meet the “Last Mile Problem”
RawData
Velocity
Variety
Veracity
Volume
Value
DataCollection
ETL, Capture,
Archive,
Move &
Manage
DataLake
Store to
HDFS, Azure
or AWS,
Break down
for processing
LakesideUnderstanding
Select,
Describe,
Explore,
Verify Quality,
Parse, Clean,
Join &
Structure
DataRefinery
Model,
Aggregate &
Transform
Multi-
Structured
Data (JSON)
Transactions&Interactions
Retain
runtime &
historical
models for
ongoing
refinement
ApplicationConstruction
Contextual
Business Use
Cases
Cubes for
Navigation &
Mining
Intelligence&Analysis
User Specific
Visualization,
Presentation,
Dashboards &
Reporting
BigDataManagement
&Analytics
❶ ❷ ❸ ❹ ❺ ❻ ❼ ❽
Problems with Activating Data for Digital Transformation

9. Data Scientist Driven The Last Mile Problem
Reduced Time to Value
Quantifiable & Faster ROI
ManagedData
Human
Process
Application
IndexIngestionPipelines
Ingest, Verify,
Index, Entity,
Cluster
ML Rules &
Algorithms
Ontology
Enrichment
BehavioralEnrichment
Insight,
Relevancy
Ranking,
Signals
Processing
Real-time
Learning
ApplicationVisualization
Dynamic
Prototype,
Build &
Visualization
Interactive
Dashboarding
Search,Discovery&
OperationalAI
RawData
Velocity
Variety
Veracity
Volume
Value
DataCollection
ETL, Capture,
Archive,
Move &
Manage
DataLake
Store to
HDFS, Azure
or AWS,
Break down
for processing
LakesideUnderstanding
Select,
Describe,
Explore,
Verify Quality,
Parse, Clean,
Join &
Structure
DataRefinery
Model,
Aggregate &
Transform
Multi-
Structured
Data (JSON)
Transactions&Interactions
Retain
runtime &
historical
models for
ongoing
refinement
ApplicationConstruction
Contextual
Business Use
Cases
Cubes for
Navigation &
Mining
Intelligence&Analysis
User Specific
Visualization,
Presentation,
Dashboards &
Reporting
BigDataManagement
&Analytics
❶ ❷ ❸ ❹ ❺ ❻ ❼ ❽
❶ ❷ ❸ ❹
Direct Alignment with Business Needs
Problems with Activating Data for Digital Transformation

10. 10
How do we provide a collaborative unified
search in the remote workplace?
• Knowledge• Process
• People• Technology

11. SEARCH
FILTER
VISUALIZATION
NAVIGATION
INSIGHT
RELEVANCY STATISTICS RANKING
CORRELATION
ACTIVITY
CONTENT
INDEX
NATURAL
LANGUAGE
BOOSTED
RESULTS
MACHINE
LEARNING
QUERY RULE
MATCHING
USER
SIGNALS
FACET, TOPIC
& CLUSTER
D ATA
Human
Generated
System
Generated
Application
Generated
S O L U T I O N
Digital
Workplace
NATURAL
LANGUAGE
MACHINE
LEARNING
QUERY RULE
MATCHING
USER
SIGNALS
FACET, TOPIC
& CLUSTER
ENRICHMENT

12. The Nature of Personalization for the
Virtual Workforce
Employee
Productivity
Distribution
of Data
Reactionary Deluge
Personalized Efficiency

13. 13
ENABLING MACHINE LEARNING
Go beyond using static rules and profiles. Instead dynamically
customize the experience for each data consumer.
Use AI and machine learning to predict user intent and give
employees the insights they need, when they need them.
Maximise the opportunities to tailor content that fits each
and every employee’s wants and needs.
Explore
Curate
Integrate
Defining Hyper Personalization

14. Advanced connectors and AI enrichment,
delivered by intuitive applications created with App Studio,
deployed on-prem or as a multi-tenant cloud managed service.
D ATA
Any format,
any platform
S O L U T I O N
Personalised
insights for each
individual
STORAGE &
SEARCH
INTENT
PREDICTION
APP
CREATION
DATA INGEST
& PREP
F U S I O N P L AT F O R M
Human
Generated
System
Generated
Application
Generated
Digital
Workplace

15. STORAGE & SEARCH INTENT PREDICTION APP CREATIONDATA INGEST & PREP
NLP: NER, phrases, POS
Document classification
Anomaly detection
Clustering
Topic detection
Search engine &
data processing
Connectors
ETL pipelines
Scheduling & alerting
SQL engine
Rules engine
Query pipelines
Query intent detector
Automatic relevancy
Signals & query analytics
Recommenders
A/B testing
Modular components
Stateless architecture
User-focused experience
Geospatial mapping
Results preview
Rapid prototyping
S C A L A B L E O P E R AT I O N S
SECURITYCDCRCLOUDSCALABLEEXTENSIBLE
Data Quality is a Process

16. S O L U T I O N
A S S E M B L Y
Digital
Workplace
I N F O R M AT I O N
M O D E L
Any format, any
platform
Human
Generated
System
Generated
Application
Generated
Index Search Intent BuildApp
RULE
ENTITY
ML
NLP
BOOST
SIGNAL
R A P I D A S S E M B LY P L AT F O R M
FUSION
Call Center
FUSION
Data Insights
FUSION
Workplace Search
S O LU T I O N T E M P L AT E S
PartnerExpertise

17. Over 100 Different Workplace Connectors
• Knowledge• Process
• People• Technology
PartnerExpertise
Search&InsightastheCore

18. Working with
Partners
I N T R O D U C I N G X E N I T C A PA B I LT I E S F O R
L U C I D W O R K S F U S I O N

19. 1919
ABOUT XENIT
12 years of experience
in Information and
Document Management
Extensive Apache Solr
and ECM know-how
Alfred Desktop &
Alfred finder
300+ million of
documents managed
in Alfresco
#1 Alfresco integrator in
Belgium, and in top 5
system integrators in
Europe

20. 2020
• S O L R = S E A R C H E N G I N E
B E H I N D A L F R E S C O
• A D VA N C E D F U L L - T E X T
S E A R C H C A PA B I L I T I E S
• O P T I M I Z E D F O R H I G H
V O L U M E T R A F F I C
• N E A R R E A L - T I M E
I N D E X I N G
• O P E N - S O U R C E
X E N I T A N D S O L R T EC H N O LO G Y

21. 21
INTELLIGENT INFORMATION MANAGEMENT
Expanding ECM into IIM
ECM IS A S ERV ICE TO M A NAG E A ND S ECU R E ENT ER P R IS E CO NT ENT
• Content is a pre-digital way to look at documents,
records, web pages, emails, multi-media
INT ELLIGE NT INFO R M AT IO N M A NAG EM ENT
• Integrates all structured and unstructured information
• Creates a common context = Meta-Model
W I S D O M
K N O W L E D G E
I N F O R M AT I O N
D ATA
META-DATA
META-MODEL

22. 22
BU ILD A S H A R ED CO NCEPT UA L INFO R M AT IO N M O DEL
• Shared
– All (new) employees look at the same map
• Conceptual
– The model is the map, not the road
• Model
– The map is abstract stable
W I S D O M
K N O W L E D G E
I N F O R M AT I O N
D ATA
A META-MODEL MAKES SENSES OF SEARCH
Own-Item Search
To locate/refind
Known-Item Search
To Find
Exploratory Search
To Learn
A Path that works today
Exhaustive Search
To Master
Pattern of Shortest Path

23. 23
LINKING ALFRESCO WITH FUSION
XENIT’S CONNECTOR
Xenit
Alfresco
Fusion
The Xenit’s connector:
• Allows to index in an incremental manner ( as opposed to “re-crawl”)
• Supports Access Control Lists
• Achieves an indexing of 130+ meta-data objects per second consistently
How can Fusion enrich Alfresco ?
• We leverage machine learning to enrich the content
• Fusion uses signals to personalize the search experience.

24. 24
Use Case : On demand Customer intelligence
A T H E M O M E N T O F C U S T O M E R
I N T E R A C T I O N , I WA N T T O S E E :
- The last interaction in our CRM
- What product has the
customer?
- The contract and last annex
- The draft proposal we are
preparing
- Credit rating of the company
Replace customer by patient, partner, designer, product, ..
M E TA M O D E L
- Concepts:
- “Customer”,
- “contract”,
- “proposal”
Your enterprise architect
knows.
- access rights
- Privacy &
confidentiality

25. 2525
LOOKING INTO
THE FUTURE

26. 26
MACHINES MAKE THE META MODEL
In the future, machine learning technology can create the meta-models
• Initial creation of the model from the information à Machine Learning
• Supervised Learning à Curation creates Clarity
• Continuouos Adaptation to business reality à the agility of information
TOP DOWN & BOTTOM UP PROCESS
• Curation is crucial in a continuous cyclic process
Discover
Curate
Discover

27. 27
Search-as-a central-service
Search-as-a-
central-service
RecordCollaboration
Transactional

28. 28
Questions?
D O N ’ T B E S H Y … .

29. 29
Thank You
C O N TA C T U S AT S A L E S @ X E N I T. E U