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In-person Experiences:
The IBM Watson Activations
The big question: How do you demonstrate Watson’s capabilities in a quick but engaging hands-on experience?
One sentence summary:
I helped conceptualize and plan a pair of interactive Watson demos and also led content design and copywriting for the content that accompanied the demos.
10-second backstory:
After the successful rollout of the Watson Primer, my team was asked to create a series of complimentary experiences that demonstrated some of Watson’s capabilities with live running code.
Animating ideas:
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Intriguing content as a bridge to business. It couldn’t just be about the tech, we had to think of ways we could show the tech doing cool shit (and then we could tell you how a business was saving a ton of money doing largely the same thing that you just did, but in a different context).
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Open up the hood. My #1 crusade on this project was to make sure we actually showed simple diagrams that broke down how we were connecting different services to create different parts of the demo you just experienced to help people understand exactly how the various Watson services were being used.
What I actually did:
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Served as a Watson SME. By this time, I understood the technology and toolset well enough to act as something of a technical consultant, helping to keep out internal team and agency partners within the realm of feasibility as we thought of ways we might show off Watsons capabilities.
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Concept ideation and development. I worked closely with my colleagues and our agency partner on ideation. My focus during this process was making sure that what we created was not only a good illustration of Watson's capabilities, but also a compelling experience in and of itself.
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Content design and development. Once we'd settled on two strong concepts, I lead all content and copywriting for the experiences, as well as designing the technical diagrams that illustrated how Watson was driving the experience behind the scenes.
What we made:
A bitcoin sentiment and price tracker. This experience used Watson to pore through millions of news articles looking for mentions of bitcoin. A second Watson service would then analyze the sentiment of each article as it related to the cryptocurrency. We then correlated this sentiment analysis to the historical price of bitcoin to show how sentiment analysis of news articles correlated with price.
A Terms of Service translator. This experience used Watson to read through lengthy terms of service documents to help you understand what data and rights you were giving up by using each service. In this case, the system had been trained ahead of time by feeding it annotated Terms of Service documents from various apps. It would then apply this training to identify similar issues in Terms of Service that it hadn't seen before, calling out terms related to data collection, data usage and licensing, and other privacy-related issues.
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