Mar
16
4:00pm
GRAMMY Debates with Watson: From the Lab to Music's Biggest Night
By IBM Developer
The journey of adapting Project Debater from IBM Research to the GRAMMYs created a resilient and componentized system that can summarize opinions on music topics into fluent narrations. The debater intelligent workflow combines Artificial Intelligence and Natural Language Processing (NLP) techniques to summarize music fans’ point of view around the most important music conversations.
Join us to learn how we use data mining for arguments and prepare them for speech synthesis; run a speech-by-crowd natural language processing pipeline to generate several language artifacts; and produce pro and con speeches, arguments, and key points that summarize all opinions about some of music’s greatest debates.
👏 What you will learn
In this workshop developers will learn:
- How to use AI and Natural Language Processing to mine and analyze Tweets and user input
- How we used the Speech by Crowd for speech synthesis
- The architecture of our hybrid cloud solution using RedHat OpenShift
👩💻 Who should attend
Developers and those interested in AI, Natural Language Processing, Natural Language Generation, DevOps, large-scale cloud computing, and application deployment.
🚀 Pre-requisites
Please do the following before the workshop:
- Take a look at the solutions at https://www.ibm.com/sports/grammys/
🎙 Speakers
- Aaron K. Baughman, Distinguished Engineer and Master Inventor, IBM Developer Advocate, https://www.linkedin.com/in/aaronbaughman/
- Tony Johnson, AI UX Developer, https://www.linkedin.com/in/tonyjohnson5/
- Elad Venezian, Project Debater Architect, Debater Technologies, https://dblp.org/pid/206/6812.html
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IBM Developer
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