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Watson DevCon 2016: Why Audience Intelligence Requires a Modular AI Approach

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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.

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Watson DevCon 2016: Why Audience Intelligence Requires a Modular AI Approach

  1. 1. Watson Developer Conference 2016 Francesco D’Orazio Why Audience Intelligence Requires a Modular AI Approach
  2. 2. The Pulsar platform
  3. 3. Some of our partners
  4. 4. How do they use Pulsar AUDIENCE UNDERSTANDING TREND ANALYSIS PLANNING INSIGHTS MARKETING MEASUREMENT CATEGORY MAPPING BRAND HEALTH
  5. 5. AUDIENCE INTELLIGENCE ACTIONABLE INSIGHTS ARTIFICIAL INTELLIGENCE
  6. 6. The challenges of human data MULTI-MEDIA MULTI-DOMAIN CONTEXT-DEPENDENTMULTI-DIMENSIONAL
  7. 7. SPECIALIZED VERTICAL CUSTOM A modular architecture for AI on demand
  8. 8. CORE SERVICES MODULAR SERVICES How Pulsar integrates Watson
  9. 9. How Pulsar integrates Watson SELECTAN ALGORITHM AT STUDY SETUP MODULES
  10. 10. How Pulsar integrates Watson IMAGE CLASSIFICATION animal mammal cat car
  11. 11. auto-pilot
  12. 12. family
  13. 13. loyalty
  14. 14. How Pulsar integrates Watson TEXT EXTRACTION “leningrad ghetto god” 92.81%
  15. 15. How Pulsar integrates Watson TEXT IDENTIFICATION “Mc Donald’s” 83.51% “Halloween” 93.81% “Burger King” 79.15%
  16. 16. How Pulsar integrates Watson TEXT IDENTIFICATION
  17. 17. How Pulsar integrates Watson EMOTION ANALYSIS
  18. 18. How Pulsar integrates Watson EMOTION ANALYSIS
  19. 19. How Pulsar integrates Watson EMOTION ANALYSIS
  20. 20. TRAINING MODULE What’s next: build your own classifiers
  21. 21. Thank you. Join me for a Meet the Experts session to ask questions and continue the discussion!

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