IBM Watson is a cognitive intelligent system that uses natural language processing and machine learning to reveal insights from large amount of unstructured data. You may remember it for winning the quiz show Jeopardy in 2011.

On 22 June 2017, IBM invited us to participate in an exclusive demonstration of Watson’s capabilities. They also showed us how Watson allows even non-techies mine large amounts of abstract data for pertinent information.

For a similar demonstration of artificial intelligence and big data analytics capability, check out our recent article – The AWS Masterclass on Artificial Intelligence by Olivier Klein.

 

An Immersive Experience With IBM Watson

In development for over 12 years, IBM Watson is understandably far complex than when it debut in Jeopardy. It is powered by 50 underlying cognitive technologies, including natural language processing, machine learning and deep learning.

This particular session was conducted by Zainal Azman Shaari and Cheok Swin Voon from IBM’s Eco-system Development team, and is limited to the functions of IBM Watson Conversation and its natural language understanding (NLU) capabilities.

A Monash University team of final year students then showed what they accomplished with IBM Watson in just a few weeks, despite not having any programming abilities. Specifically, they showed how they can mine Twitter to not just determine how often people were talking about a fast food brand, they also used IBM Watson to determine whether the tweets were positive or negative in nature.

For a similar demonstration of artificial intelligence and big data analytics capability, check out our recent article – The AWS Masterclass on Artificial Intelligence by Olivier Klein.

Next Page > The IBM Watson Q&A Part 1/2

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