Presentation given by Francesco D'Orazio at Watson DevCon 2016. Not all data is created equal. Different datasets, industries, audiences, and use cases require different techniques to make sense of the data and help craft insights beyond simple analytics. At Pulsar, we deal with complex and varied social and behavioral datasets that require a very diverse range of data mining techniques—and there’s only so much a single company can do to keep up with the level of specialism needed to make sense of it all.Pulsar has built a modular system for AI solutions. Integrating Watson has been essential in helping to support a wide range of research use cases – from image analysis to topic extraction and emotion analysis. Come explore different Watson-enabled use cases and hear plans for future integrations.

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

4. The Pulsar platform

5. Some of our partners

6. How do they use Pulsar
AUDIENCE
UNDERSTANDING
TREND
ANALYSIS
PLANNING
INSIGHTS
MARKETING
MEASUREMENT
CATEGORY
MAPPING
BRAND
HEALTH

7. AUDIENCE
INTELLIGENCE
ACTIONABLE
INSIGHTS
ARTIFICIAL
INTELLIGENCE

8. The challenges of human data
MULTI-MEDIA MULTI-DOMAIN CONTEXT-DEPENDENTMULTI-DIMENSIONAL

9. SPECIALIZED
VERTICAL
CUSTOM
A modular architecture for AI on demand

10. CORE SERVICES MODULAR SERVICES
How Pulsar integrates Watson

11. How Pulsar integrates Watson
SELECTAN ALGORITHM AT STUDY SETUP
MODULES

12. How Pulsar integrates Watson
IMAGE
CLASSIFICATION
animal mammal cat car

14. auto-pilot

16. family

17. loyalty

18. How Pulsar integrates Watson
TEXT EXTRACTION
“leningrad ghetto god” 92.81%

19. How Pulsar integrates Watson
TEXT IDENTIFICATION
“Mc Donald’s” 83.51% “Halloween” 93.81% “Burger King” 79.15%

20. How Pulsar integrates Watson
TEXT IDENTIFICATION

21. How Pulsar integrates Watson
EMOTION ANALYSIS

22. How Pulsar integrates Watson
EMOTION ANALYSIS

23. How Pulsar integrates Watson
EMOTION ANALYSIS

24. TRAINING MODULE
What’s next: build your own classifiers

25. Thank you.
Join me for a Meet the Experts
session to ask questions and
continue the discussion!