watson devcon 2016: why audience intelligence requires a modular ai approach

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Watson Developer Conference 2016 Francesco D’Orazio Why Audience Intelligence Requires a Modular AI Approach

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Watson Developer Conference 2016Francesco D’Orazio

Why Audience Intelligence Requires a Modular AI Approach

The Pulsar platform

Some of our partners

How do they use Pulsar

AUDIENCE UNDERSTANDING

TREND ANALYSIS

PLANNINGINSIGHTS

MARKETINGMEASUREMENT

CATEGORYMAPPING

BRANDHEALTH

AUDIENCE INTELLIGENCE

ACTIONABLEINSIGHTS

ARTIFICIALINTELLIGENCE

The challenges of human data

MULTI-MEDIA MULTI-DOMAIN CONTEXT-DEPENDENTMULTI-DIMENSIONAL

SPECIALIZED

VERTICAL

CUSTOM

A modular architecture for AI on demand

CORE SERVICES MODULAR SERVICES

How Pulsar integrates Watson

How Pulsar integrates Watson

SELECT AN ALGORITHM AT STUDY SETUP

MODULES

How Pulsar integrates Watson

IMAGE CLASSIFICATION

animal mammal cat car

auto-pilot

family

loyalty

How Pulsar integrates Watson

TEXT EXTRACTION

“leningrad ghetto god” 92.81%

How Pulsar integrates Watson

TEXT IDENTIFICATION

“Mc Donald’s” 83.51% “Halloween” 93.81% “Burger King” 79.15%

How Pulsar integrates Watson

TEXT IDENTIFICATION

How Pulsar integrates Watson

EMOTION ANALYSIS

How Pulsar integrates Watson

EMOTION ANALYSIS

How Pulsar integrates Watson

EMOTION ANALYSIS

TRAINING MODULE

What’s next: build your own classifiers

Thank you.

Join me for a Meet the Experts session to ask questions and continue the discussion!