Cognitive computing in the digital health era - Federico Neri

Data Driven Innovation Rome 2017 – Open Summit

COGNITIVE COMPUTING IN THE DIGITAL HEALTH ERA

Federico NERILanguage Intelligence manager

federico.neri@integris.it

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Information Overload in Big Data era

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The Web is a virtual place where to share opinionsThe

interaction with other

users influences

the choices of everyday

life

Interaction

Digital contents express

emotions about

events, services or products

Emotion

Contributions are shared without the need

of a specific stimulus

Spontaneity

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Turn information into Knowledge and Insights

Listento people

Detect their attitudes

Seize their expectations

Detect the signals

of their change

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Collect multimedia data (texts, audio & videos)

Detect facts and opinions, identifying Who Makes What,

Where, When, by Speech & Semantic Analyses

Classify them by Supervised & Unsupervised Clustering

Explora, the Cognitive platform

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Natural Language Understanding is based on

Morpho-syntactic Analysis

Semantic Role Analysis

Semantic Analysis

Statistical Analysis

ExploraText, from Words to Concepts and Roles

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Debating on a “revolutionary” drug

A pharma company needs to Listen to Web

conversations about its products

Identify commercial drivers and possible resistances

Monitor Brand Reputation and drug risks

alert

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The Innovation, from Words to Cloud of Concepts

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The Innovation, from Words to Nets of Concepts

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Debating about spiral as a contraceptive method

A pharma company needs to Listen to Web conversations about

spiral as a contraceptive method Automatically identify commercial

drivers and resistances

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The Innovation, from Words to Cloud of Concepts

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The Innovation, from Words to Nets of Concepts

Posizionamento rispetto alla Concorrenza

Main characteristics

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Main Characteristics

Multi-channel It manages contributions from Internet (Web sites, blogs,

microblogs, forums, social networks, …), Intranet (filesystem, database), e-mails…

Multi-media It manages texts, audio and videos

Multi-language and Cross-language It analyses and extracts informations from contributions written

in the the main European languages (English, Italian, Spanish, Portuguese, French, German…) by a Lexical & Semantic approach

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Architecture It is compliant with Big Data standards, designed to storage and

give fast and easy access to milions of records

It is integrated with: Noun Phrases Extraction Tool Lexical & Semantic Resources (Dictionary, Knowledge Base /

Ontology) Editor Classification Model Editor (Supervised Clustering)

Main Characteristics

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PisaVia Forti Umberto, 156121 Pisa (PI) Tel: +39 050 9655012

MilanoCorso Sempione, 6220149 Milano (M))

RomaVia Giovanni Squarcina, 300143 Roma, ItalyTel: +39.06.58230391Fax: +39.06.58230391

RendeVia Genova, 2987036 Rende (CS) Tel: +39 340 6297656

Where we are

Federico NERILanguage Intelligence managerfederico.neri@integris.it