IBM Watson is a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data. This month, Olly Cox and James Ravenscroft (Solutions Architects at IBM Watson) will demonstrate the power of some of the Watson APIs with example code and usage patterns for chaining these services together in order to create powerful text processing pipelines. The IBM Watson APIs can be trialled for free to add cognitive capabilities to data science projects, so you can immediately experiment with these APIs following this meetup.
Olly Cox and James Ravenscroft are Solutions Architects from IBM's Watson division. Olly's experience as veteran developer and technologist at a Business Intelligence company and James' data science background and part time PhD studies in Natural Language Processing, enable them to spend their days thinking of innovative ways to integrate Watson's machine learning and text analysis capabilities into a wide variety of use cases across a number of industries.
In this talk, they will share their experience and thinking.
- Watson Introduction + general overview
- Discussion and demonstration of interactive Watson use cases i.e. dialoguing and conversations
- Data discovery and enrichment demo (with code)
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IBM Watson - It's for data scientists too!
James is a software engineer with a degree in Artificial Intelligence(AI) and Robotics. James currently works part time at IBM's Watson division and part time as a PhD student at the University of Warwick. James is passionate about Natural Language Processing technologies and using modern technology to help further scientific advancement and provide a positive impact on society in general.
Olly Cox is a Solutions Architect in IBM's Watson division. Olly's experience as a veteran developer and technologist at a Business Intelligence company, enables him to spend his days thinking of innovative ways to integrate Watson's machine learning and text analysis capabilities into a wide variety of use cases across a number of industries.