Analyzing media archives with Artificial Intelligence (workshop)
A SkillsCast for this session is not available.
We will cover:
- Interfacing with Cloud-based Object Storage
- Extracting transcripts with speech to text
- Classifying video frames with visual recognition
- Automatically generating taxonomies with natural language processing
- Creating a search capability to surface the above
You Will Need:
- An IBM Cloud account
- A laptop running Windows/Linux/macOS that can run a modern supported browser ( Chrome / Firefox / Safari )
Speaker:
- Sean M. Tracey: Developer Advocate
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Analyzing media archives with Artificial Intelligence (workshop)
Sean Tracey
Sean is a Developer Advocate for Client, Partners, and Industry. Before joining IBM, Sean worked in the Labs department of the Financial Times in London.
His career has been focused around rapid prototyping and MVP creation. His skill set includes client and server-side JavaScript, Python, C++ (Wiring and openFrameworks), and circuit design.
Sean also has experience in technical writing. To date, he has published over 50 articles on JavaScript, Python, and Arduino programming across 3 internationally published magazines. He has also published a book on programming games with Python for Raspberry Pi's MagPi magazine.
Currently, Sean is interested in real-time audio/video analysis, particularly for news media, Progressive Web Apps, and industrial IoT applications.