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Marketing Week Live 2017
The document discusses the future of marketing and the importance of understanding customers. It notes that 66% of brands no longer understand their customers and 55% of consumers no longer want to give data to marketers. It also discusses the need for marketers to use short sentences and focus on big ideas to capture short attention spans. The document promotes respecting privacy and speaking truthfully in advertising and communications. It highlights various Watson APIs that can be used for marketing tasks like sentiment analysis, visual recognition, and understanding customer personality and emotions.
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Marketing Week Live 2017
- 1. Watson Customer Engagement @JeremyWaite#MWL17 Evangelist @IBM The Future of Marketing Will Build Itself 3/7/171
- 2. Watson Customer Engagement3/8/172 SHORT ATTENTION SPANS USE BIG IDEAS, SMALL WORDS AND SHORT SENTENCES. SPEAK THE TRUTH IN ALL YOUR WORDS, NEWS & ADVERTISING. SACREDNESS OF PRIVACY RESPECT PEOPLE’S PERSONAL & FAMILY INFORMATION.
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- 4. Watson Customer EngagementIBM Cognitive Engagement:Watson Marketing |Watson Commerce |Watson SupplyChain4
- 5. Watson Customer Engagement IBMCognitive Engagement:Watson Marketing |Watson Commerce | Watson Supply Chain5
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- 8. Watson Customer Engagement 66%BRANDS NO LONGER UNDERSTAND THEIR CUSTOMERS.
- 9. Watson Customer Engagement 55%CONSUMERS NO LONGER WANT TO GIVE DATA TO MARKETERS.
- 10. Watson Customer Engagement 88%SOCIAL CONVERSATIONS ARE NOW PRIVATE.
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- 14. Watson Customer Engagement3/7/1714
- 15. Watson Customer Engagement3/8/1715
- 16. Watson Customer Engagement3/8/17STEVEN B. JOHNSON
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- 19. Watson Customer EngagementIBM Cognitive Engagement:Watson Marketing |Watson Commerce |Watson SupplyChain19
- 20. Watson Customer Engagement Personality Insights Keyword Extraction Image Link Extraction Language Detection Relationship Extraction Feed Detection Sentiment AnalysisDialog Concept Expansion Visual Recognition Concept Insights Concept Tagging Language Translation Natural Language Classifier Retrieve & Rank TextTo Speech Author Extraction Tone Analyzer Taxonomy Message Resonance Image Tagging Text Extraction Watson News Speech to Text Tradeoff Analytics Entity Extraction Face Detection Video Augmentation Factoid Pipeline Case Evaluation Knowledge Canvas Q&A Qualification Criteria Class. Policy Identification Fusion Q&A Risk Stratification Usage Insights Answer Generation Decision Optimisation Emotion Analysis Knowledge Graph Decision Support Knowledge Studio Service Statistical Dialog Easy Adaptation Question & Answer Speech to Text IBM Watson API’s IBM.com/Cognitive Personality Insights Sentiment Analysis Visual Recognition Natural Language Classifier Tone Analyzer Image Tagging Emotion Analysis
- 21. Watson Customer Engagement “Idon’t need to know everything about everybody. I just need to know a little bit about a whole bunch of people”. BRADLEY VOYTEK UBER HEAD OF DATA SCIENCE How are city demand patterns inter-related?
- 22. Watson Customer Engagement 1.FILTERED 2. CLEAN 3. FILTERED How Do You Extract Meaning Out Of Noise?
- 23. Watson Customer Engagement @JeremyWaite| Jeremy.Waite@UK.IBM.com Thank You.