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SPEAKER NAME
SPEAKER TITLE
Building a Business Case
for Enterprise Search
GUEST SPEAKER: DAVE SCHUBMEHL, RESEARCH DIRECTOR, IDC
DIANE BURLEY, VP CONTENT, LUCIDWORKS
0
5
10
15
20
25
30
35
CAGR of 44.6%
Productivity/Embedded Data Created Annually (Zettabytes)
2018 2019 2020 2021 2022 2023
© IDC 2
Worldwide Annual Data Creation 2018-2023
Unstructured Content:
Value Waiting to be Delivered
© IDC Visit us at IDC.com and follow us on
Twitter: @IDC
3
Unstructured content
accounts for
of all digital
information
Unlocking value
from this content
should be the goal
of every organization
THIS CONTENT IS LOCKED IN A VARIETY LOCATIONS AND APPLICATIONS THAT DON’T TALK
TO EACH OTHER – E.G., OPENTEXT, SALESFORCE.COM, GOOGLE DRIVE, ET AL.
85%
Why Do So Few Organizations Find Value in
Their Information?
© IDC Visit us at IDC.com and follow us on
Twitter: @IDC
4
of knowledge
workers regularly
access 4 or more
systems to get the
information they
need
of a typical knowledge
worker’s day is spent
looking for information
61% 36%
Nearly 15% access
11 or more systems
These workers find the information
required to do their jobs only 56% of the
time
AI Capabilities
5© IDC
Technologies that use NLP, machine learning or knowledge graphs to answer questions,
discover insights and provide recommendations. These systems hypothesize and formulate
possible answers based on available evidence, can be trained on vast amounts of content, and
automatically adapt and learn from their mistakes.
User / Data
Interaction
Natural Language
Processing
Q&A Processing
Image Analytics
Natural Language
Generation
Computer Vision
Speech
Recognition
Knowledge
Representation
Automated
Content
Aggregation
Knowledge
extraction
Knowledge base
curation
Knowledge
Models &
Ontologies
Graph Databases
Reasoning
Knowledge graph
traversal
Ontology based
reasoning
Learning
Supervised
Machine Learning
Unsupervised
Machine Learning
Reinforcement
Learning
Semi-structured
Learning
 Conversational AI Platforms (e.g.
Chatbots)
 Program Advisors (e.g. Pricing
Optimization)
 Automated Discovery (e.g. R&D)
 Work Automation (e.g. Robotic
Processes)
 Labor Augmentation &
Enhancement (e.g. Digital
Assistants)
6© IDC
Types of AI
Information related AI applications use cases developed/developing
7
For what use cases are you developing or have developed AI applications?
© IDC
N = 505
Base=All Respondents
Notes: Managed by IDC's Quantitative Research Group.; Data Not Weighted; Use caution when interpreting small sample sizes.;
Multiple dichotomous table - total will not sum to 100%
Source: AI Software Platform Adoption Survey, IDC, February, 2019  ToC
0% 5% 10% 15% 20% 25%
Automated customer service agents
Fraud analysis and investigation
Digital assistants for enterprise knowledge workers
Regulatory intelligence
Automated claims processing
Adaptive learning (in education)
Automated threat intelligence and prevention systems
Diagnosis and treatment (healthcare)
Pharmaceutical research and discovery
Defense, terrorism and government intelligence systems
Types of data used for AI projects
8
What types of data are/were you using for your projects?
© IDC
N = 505
Base=All Respondents
Notes: Managed by IDC's Quantitative Research Group.; Data Not Weighted; Use caution when interpreting small sample sizes.;
Multiple dichotomous table - total will not sum to 100%
Source: AI Software Platform Adoption Survey, IDC, February, 2019  ToC
 Real-time intelligence for
thousands of daily decisions
 Personalized, contextualized
information for each worker
 Efficient research methodologies
to speed the pace of innovation
 Far less time wasted searching for
information
 Unified visualization of knowledge
assets to bridge information silos
9© IDC
What Organizations Need in Search
IDC Predictions
10© IDCSources: IDC FutureScape: Worldwide Future of Work 2019 Predictions; Worldwide Analytics and AI 2019 Predictions
Digital Workers IT Automation
50%
of structured repeatable tasks will be
automated and 20% of workers in
knowledge-intensive tasks will have AI-
infused software
33%
of today's screen-based B2B and B2C
applications will be replaced by AI-enabled
human-computer interfaces and business
process automation
By 2024 By 2024
11© IDC
The Five Tenets of Success for Digital Workers
Integrating Diverse Content Types and
Sources
Applied AI
Search Relevancy
Performance at Scale
Ease of Use
12
PERSONALIZATION
CAPABILITIES
Which online/ecommerce personalization capabilities do you use?
13
AI/ML -> UX
Select all the ways you use AI/ML to power the customer experience:
14
C A S E S T U D Y
Better customer support
Putting the right information in front of customers in fewer clicks
Improved support calls
Shorter wait times, and a more engaged support
Reinvestment of savings
200%I N C R E A S E I N C T R
50KF E W E R S U P P O R T T I C K E T S
91%R E D U C T I O N I N T C O
15
“With our initial success using Solr
and Lucidworks, we’re moving all our
search applications to Fusion.
Our recommendation engine was originally built on Lucene. Lucidworks Fusion
provided the UI, security, and support we needed to make the move to Solr
while minimizing our dependency on IT resources.”
A N D R E W H E C O X | M A N A G E R , S O F T W A R E E N G I N E E R I N G , R E D H A T
16
17
FILTER
VISUALIZATION
ACTIVITY
CONTENT
INDEX
NATURAL
LANGUAGE
BOOSTED
RESULTS
MACHINE
LEARNING
QUERY RULE
MATCHING
USER
SIGNALS
FACET, TOPIC
& CLUSTER
D A T A
Human
Generated
System
Generated
Application
Generated
S O L U T I O N
Digital
Commerce
18
18
Takeaways...
1
2
3
Empower your workers with augmentation fueled by AI
Make your content, archives and information useable
Think humans AND machines
19
Additional Resources
IDC White Paper: Empowering the Digital Workforce: The Five Tenets of Success
by David Schumbmehl
https://lucidworks.com/ppc/dw-campaign-idc-whitepaper-empowering-digital-workplace/
Enterprise Search Buyer’s Guide. Your go-to guide that gives you everything you need to make
sure your organization delivers an effective enterprise search experience.
https://lucidworks.com/ppc/dw-campaign-enterprise-search-buyers-guide/
Lucidworks is Not Just a Search Tool. Learn how we can help improve employee engagement
and productivity in the Digital Workplace.
https://lucidworks.com/its-not-a-search-tool/
2020
QUESTIONS?
21
THANK YOU
Diane.Burley@lucidworks.com
@dburley

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Webinar: Building a Business Case for Enterprise Search

  • 1. SPEAKER NAME SPEAKER TITLE Building a Business Case for Enterprise Search GUEST SPEAKER: DAVE SCHUBMEHL, RESEARCH DIRECTOR, IDC DIANE BURLEY, VP CONTENT, LUCIDWORKS
  • 2. 0 5 10 15 20 25 30 35 CAGR of 44.6% Productivity/Embedded Data Created Annually (Zettabytes) 2018 2019 2020 2021 2022 2023 © IDC 2 Worldwide Annual Data Creation 2018-2023
  • 3. Unstructured Content: Value Waiting to be Delivered © IDC Visit us at IDC.com and follow us on Twitter: @IDC 3 Unstructured content accounts for of all digital information Unlocking value from this content should be the goal of every organization THIS CONTENT IS LOCKED IN A VARIETY LOCATIONS AND APPLICATIONS THAT DON’T TALK TO EACH OTHER – E.G., OPENTEXT, SALESFORCE.COM, GOOGLE DRIVE, ET AL. 85%
  • 4. Why Do So Few Organizations Find Value in Their Information? © IDC Visit us at IDC.com and follow us on Twitter: @IDC 4 of knowledge workers regularly access 4 or more systems to get the information they need of a typical knowledge worker’s day is spent looking for information 61% 36% Nearly 15% access 11 or more systems These workers find the information required to do their jobs only 56% of the time
  • 5. AI Capabilities 5© IDC Technologies that use NLP, machine learning or knowledge graphs to answer questions, discover insights and provide recommendations. These systems hypothesize and formulate possible answers based on available evidence, can be trained on vast amounts of content, and automatically adapt and learn from their mistakes. User / Data Interaction Natural Language Processing Q&A Processing Image Analytics Natural Language Generation Computer Vision Speech Recognition Knowledge Representation Automated Content Aggregation Knowledge extraction Knowledge base curation Knowledge Models & Ontologies Graph Databases Reasoning Knowledge graph traversal Ontology based reasoning Learning Supervised Machine Learning Unsupervised Machine Learning Reinforcement Learning Semi-structured Learning
  • 6.  Conversational AI Platforms (e.g. Chatbots)  Program Advisors (e.g. Pricing Optimization)  Automated Discovery (e.g. R&D)  Work Automation (e.g. Robotic Processes)  Labor Augmentation & Enhancement (e.g. Digital Assistants) 6© IDC Types of AI
  • 7. Information related AI applications use cases developed/developing 7 For what use cases are you developing or have developed AI applications? © IDC N = 505 Base=All Respondents Notes: Managed by IDC's Quantitative Research Group.; Data Not Weighted; Use caution when interpreting small sample sizes.; Multiple dichotomous table - total will not sum to 100% Source: AI Software Platform Adoption Survey, IDC, February, 2019  ToC 0% 5% 10% 15% 20% 25% Automated customer service agents Fraud analysis and investigation Digital assistants for enterprise knowledge workers Regulatory intelligence Automated claims processing Adaptive learning (in education) Automated threat intelligence and prevention systems Diagnosis and treatment (healthcare) Pharmaceutical research and discovery Defense, terrorism and government intelligence systems
  • 8. Types of data used for AI projects 8 What types of data are/were you using for your projects? © IDC N = 505 Base=All Respondents Notes: Managed by IDC's Quantitative Research Group.; Data Not Weighted; Use caution when interpreting small sample sizes.; Multiple dichotomous table - total will not sum to 100% Source: AI Software Platform Adoption Survey, IDC, February, 2019  ToC
  • 9.  Real-time intelligence for thousands of daily decisions  Personalized, contextualized information for each worker  Efficient research methodologies to speed the pace of innovation  Far less time wasted searching for information  Unified visualization of knowledge assets to bridge information silos 9© IDC What Organizations Need in Search
  • 10. IDC Predictions 10© IDCSources: IDC FutureScape: Worldwide Future of Work 2019 Predictions; Worldwide Analytics and AI 2019 Predictions Digital Workers IT Automation 50% of structured repeatable tasks will be automated and 20% of workers in knowledge-intensive tasks will have AI- infused software 33% of today's screen-based B2B and B2C applications will be replaced by AI-enabled human-computer interfaces and business process automation By 2024 By 2024
  • 11. 11© IDC The Five Tenets of Success for Digital Workers Integrating Diverse Content Types and Sources Applied AI Search Relevancy Performance at Scale Ease of Use
  • 13. 13 AI/ML -> UX Select all the ways you use AI/ML to power the customer experience:
  • 14. 14 C A S E S T U D Y Better customer support Putting the right information in front of customers in fewer clicks Improved support calls Shorter wait times, and a more engaged support Reinvestment of savings 200%I N C R E A S E I N C T R 50KF E W E R S U P P O R T T I C K E T S 91%R E D U C T I O N I N T C O
  • 15. 15 “With our initial success using Solr and Lucidworks, we’re moving all our search applications to Fusion. Our recommendation engine was originally built on Lucene. Lucidworks Fusion provided the UI, security, and support we needed to make the move to Solr while minimizing our dependency on IT resources.” A N D R E W H E C O X | M A N A G E R , S O F T W A R E E N G I N E E R I N G , R E D H A T
  • 16. 16
  • 17. 17 FILTER VISUALIZATION ACTIVITY CONTENT INDEX NATURAL LANGUAGE BOOSTED RESULTS MACHINE LEARNING QUERY RULE MATCHING USER SIGNALS FACET, TOPIC & CLUSTER D A T A Human Generated System Generated Application Generated S O L U T I O N Digital Commerce
  • 18. 18 18 Takeaways... 1 2 3 Empower your workers with augmentation fueled by AI Make your content, archives and information useable Think humans AND machines
  • 19. 19 Additional Resources IDC White Paper: Empowering the Digital Workforce: The Five Tenets of Success by David Schumbmehl https://lucidworks.com/ppc/dw-campaign-idc-whitepaper-empowering-digital-workplace/ Enterprise Search Buyer’s Guide. Your go-to guide that gives you everything you need to make sure your organization delivers an effective enterprise search experience. https://lucidworks.com/ppc/dw-campaign-enterprise-search-buyers-guide/ Lucidworks is Not Just a Search Tool. Learn how we can help improve employee engagement and productivity in the Digital Workplace. https://lucidworks.com/its-not-a-search-tool/