Introducing Six Semantic Technology Vendors: Strengthening Insurance Business Initiatives With Seman

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Introduction

Introduction

More than 80% of all the content that insurers have available to them throughout their various internal and external value chains is unstructured. Semantic technologies are emerging to analyze unstructured content, much as business intelligence software capabilities have historically been applied to structured content.

Scope

*Life and Non-Life insurance companies

*This report profiles six semantic technology vendors

*This report discusses insurance analytical applications each vendor could support

Highlights

The number and nature of potential insurance business applications using semantic technology is limited only by an insurer's imagination, resource availability and desire to include as much unstructured content as possible into the analytical applications.

Semantic Technology firms need to assist insurers to understand this emerging technology, bundle training in their products and offer easy-to-use solutions.

Reasons to Purchase

*This research makes insurers aware about six semantic technology vendors

*This research identifies specific insurance semantic technology analytical applications

*This research opens insurers to ideas about semantic technology analytical applications

Table of Contents :

SUMMARY 2

Catalyst 2

Ovum view 2

Key messages 3

SIX SEMANTIC TECHNOLOGY VENDORS TAKING DIFFERENT APPROACHES TO THE MARKET 4

Rationale for selecting the six semantic technology vendors 4

The six semantic technology firms are private, venture-capital backed and horizontal 5

The profiles of the six semantic technology firms focus on what they bring to the market 5

Four themes are woven through the profiles of the six semantic technology vendors 6

THE SIX SEMANTIC TECHNOLOGY FIRMS OFFER INSURERS DIFFERENT CAPABILITIES 7

Attivio offers a common access platform combining unstructured and structured content 7

Cambridge Semantics wants to help companies quickly obtain practical results 8

Lexalytics has a 'laser-focus' on sentiment analysis 9

Linguamatics finds the nuggets hidden in plain sight 10

MetaCarta identifies location references in unstructured documents in real-time 11

SchemaLogic enables information to be found and shared more effectively using semantic technologies 12

RECOMMENDATIONS 15

Recommendations for insurance companies 15

Insurers must prepare detailed questions for the due diligence involved with selecting a semantic technology vendor 15

Insurers should start small when applying semantic technologies 16

Recommendations for vendors 17

Semantic technology vendors should provide capabilities to minimize the 'rabbit warren' effect 17

Semantic technology vendors should provide solutions that insurers can deploy either on-premise or as software as a service 17

APPENDIX 19

Ask the analyst 19

Further reading 19

Methodology 19

List of Figures

Figure 1: Profile of Attivio 8

Figure 2: Profile of Cambridge Semantics 9

Figure 3: Profile of Lexalytics 10

Figure 4: Profile of Linguamatics 11

Figure 5: Profile of MetaCarta 12

Figure 6: Profile of SchemaLogic 13

Figure 7: Path of pain companies travel before realizing the need for semantic technology solutions 14

Figure 8: The four areas on which insurers should question semantic technology vendors 16

For more information please visit :

http://www.aarkstore.com/reports/Introducing-Six-Semantic-Technology-Vendors-Strengthening-Insurance-Business-Initiatives-with-Semantic-Technologies-59165.html

by: Aarkstore Enterprise

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