ingenia next generation text analytics

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INGENIANext generation text analyticsMachine learning powering Classification | Recommendation | Summarisation


Ingenia helps organisations with text content to:

Transform messy content that is not organised into structured content with tags totally bespoke to a user or a group of users to develop innovative content based services

Link together different pieces of text when their actual content is related to increase visibility and monetisation of content

Extract key summary of documents for a specific topic to make them rapidly relevant to users

Strengthen Saas solutions in multiple verticals, education, media, health, BI


And enables this with three core features:

• Tag vast amount of text with tags that are unique to a user or a group of users

• Applies statistical analysis to quantify how relevant each tag is to a piece of content or a portion of it

• Perform real-time text content analysis

• Link content items (document, webpage, tweet, etc…) together for recommendation solutions

• Enables to personalise the experience delivered

• Extract part that are statistically relevant of a body of content

Auto-categorisation

Recommendation

Summarisation


In a unique manner that provides a wealth of content-based innovation

Content BasedRec

INGENIARecommendation Sum

mar

isat

ion

Categorisation

TopicCentric

Summary

RapidContent

Discovery


This is done with a fully proprietary analytic engine

• Analyses content to identify genuine, unique patterns

• Innovative, fully proprietary technology

• RESTful API to easily integrate with any platform

• Service-oriented architecture for scalability

• Saas to test and be fully integrated within hours

• On-premise solutions available

Algorithms

Architecture

Provisioning


And makes Ingenia relevant across 3 key sectors

• Integrate as a content app to strengthen existing feature set

• Support information governance, strategic initiative for many large organisations

Enterprise content management

• Various use cases thanks to unique technology

• API model for versatile implementation

E-commerce / Online publishers

• Add bespoke text analytic capability on existing Saas solutions (media, voice, CRM, etc.)

• Organise vast unstructured social data

Analytics and social


Notably powering 4 key main use cases

Gain actionable insights Enables innovating navigation• Processes rich and diverse text “as is”• Supplies evidence across entire set, real

time if necessary• Enables economically viable insight as

analytic is machine led

• Structures content to create associations supporting meaningful navigations

• Enables ways to filter content beyond basic search

• Guarantees all content is categorised and included in navigation filters

• Makes sense of wealth of data users reveal in content consumption patterns

• Derives meaningful, content based association to content relevant to a user

• Adapts to change of content consumed & new content topics appearing

Personalise user experience• Understands phrases written by users in a

natural style, doesn’t mind about typos• It will retrieve all the content relevant to

that search, in real time• It will sort these results on the basis of

relevance

Enables natural language search


Some public examples to date

Social platform in financial industry use Ingenia to autocategorise content produced by its users and extract insights on their key asset: content

US Video transcript Saas solution uses Ingenia to add intelligence on the transcripts they produce to enable indexing, link all transcripts together and to internal and third party content

Bespoke software development company uses Ingenia to integrate into their clients large applications such as publishers, government agencies, etc…


THANKS

Contact: [email protected] | @hervehumbert

ingenia next generation text analytics

Technology