Workshop Program, June 28

Registration opens at 8:30 am – coffee & tea available – and the workshop programs start at 9:00 am.

Morning Workshops (attend either)
Data Science and Technology Customer Journey Transformation
Algorithms, technologies, and techniques for research & development in sentiment, opinion & emotion.
 
Covering application of NLP, sentiment analysis, and machine learning for Customer Experience analyses, plus journey mapping and optimization.
 
9:00am – 9:25am
Conversation Analytics: Analyzing Sentiment and Customer Satisfaction in Dialogues
Claudio Pinhanez, IBM Research
9:25am – 9:50am
Disambiguate Opinion Word Sense via Contextonymy
Guillaume Gadek, Airbus Defence and Space
9:50am – 10:15am
Comparing Sentiment Engine Performance on Reviews and Tweets
Emanuele Di Rosa, Finsa s.p.a.
10:15am – 10:40am
Social Data Science
Paul Siegel, Brandwatch
10:30am – 11:00am
Break
11:00am – 11:25am
Extracting Brand Features and Attributes for Consumer Insights from Massive Free-Form Data
Annie En-Shiun Lee, VerticalScope
11:25am – 11:50am
Why AI (& Bots) Need Faces
11:50am – 12 noon
Sarcasm and its Symptoms
Dianna Radpour, State University of New York at Buffalo
12 noon – 12:30pm
Commercializing AI Research
Kathryn Hume, integrate.ai
9:00am – 9:30am
Meeting Consumers’ Real Needs and Responding to their Actual Behavior: Uncovering the Unconscious
Marija Bogic and Andra Magerusan, Innovationbubble
9:30am – 10:00am
Insights into Customer Journeys using Feedback Analysis
Alyona Medelyan, Thematic
10:00am – 10:30am
Image and Speech Analysis for Market Research and Consumer Insights
Michalis Michael, DigitalMR
10:30am – 11:00am
Break
11:00am – 12 noon
Using Analytics to Understand and Transform Customer Experience
Steven Ramirez, Beyond the Arc
12 noon – 12:30pm
A Consumer Neuroscience Understanding of Emotional Response
Dr. Carl Marci, Nielsen Consumer Neuroscience

Afternoon Workshops (attend either)
NLP and Sentiment in Finance Text Analytics for Market Research & Consumer Insights
Text and machine learning technologies and their applications for trading, market surveillance, risk, fraud, and compliance, drawing on news, corporate filings, social media, and the range of relevant information sources, focusing on strategy and impact.
 
Practical text analytics with a consumer markets, customer intelligence focus.
 
1:30pm – 1:50pm
Trading on Media Emotion
Richard Peterson, MarketPsych
1:50pm – 2:35pm
Panel: Alternative Data: Signal & Noise
Pierce Crosby, StockTwits
  • Richard Peterson, MarketPsych
  • Outperform Using NLP to Grasp the Wisdom of the Crowd
    Noam Tasch, iSENTIUM
  • Artificial Intelligence Insights from Alternative Datasets in Investment Management
    Jamie Wise, BUZZ Indexes
2:35 pm – 3:00pm
Building a Regulatory Action Database with Text Analytics
Evan Schnidman, Prattle and Steve Cohen, Basis Technology
3:00pm – 3:30pm
Break
3:30 pm – 4:10pm
Panel: Trading Reality
moderator: Bartt Kellermann, Battle of the Quants
4:10 pm – 4:35pm
Risk Taxonomies in Finance
Brendan Herger, Capital One
4:35 pm – 5:00pm
Extraction and Interpretation of Trading-Relevant Information
1:30pm – 3:00pm
Deep Text and Social Media Analysis
Tom Reamy, The KAPS Group
3:00pm – 3:30pm
Break
3:30 pm – 4:00pm
How Deep Learning and NLP Answer Consumers’ Complex Questions
4:00 pm – 4:30pm
Words of Wisdom: Leveraging Advanced Text Analytics for Consumer Influencer Strategies
Darren Bosik, Marina Maher Communications
4:30 pm – 5:00pm
Using Content Mining & Text Analytics to Profile B2B Buyers & Accelerate Sales

 

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