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September 25, 2019 | Workshop
Social media plays a significant role in our communication, which can be especially crucial during times of disaster. Every word, photo, video, and follower on Twitter can provide useful data and insight. However, historically, it has been difficult for computers to make sense of unstructured data contained within a social media feed. But with Watson and AI, we can start to make sense of this incredibly useful information.
In this workshop, we will use Node-RED and Watson APIs to do AI analysis of raw unstructured data in the hopes of gaining useful insight. Node-RED is very easy to get started with and is a great open-source tool for beginners who want to write and understand programming flow. We will use services such as sentiment analysis, tone analyzer, text to speech, language translator and visual recognition to gain meaningful information. We will also have an open discussion on how we can use this type of technology to benefit us during times of disaster and recovery.
This workshop is for both beginners and experienced developers, makers, tech enthusiasts, entrepreneurs, and anyone who is interested in rapid prototyping or is just curious about flow-based programming.
54 West 21st Street, Suite 1001, New York City, New York, 10010, United States
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October 3, 2019
Process image, video, audio, or text data using deep learning models from the Model Asset Exchange in Node-RED flows.
Artificial intelligenceDeep learning+
October 10, 2019
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