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Gettysburg College
From Alexa to AI: Rethinking Your Content in a
Headless Strategy
October 25, 20181
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Gettysburg College
From Alexa to AI: Is Clicking with Your Content Enough for Your Audiences?
October 25, 20182
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Riddle
What individual knows the most about your organization but is dumb
as a rock?
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Hal CMS 9000Your Content Management System
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New Web Design
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Current Student Landing Page
Redesigned Student Landing Page
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Alexa Goal
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CustomEndPoint
OrEndPoint
WithWatsonAlexa
dotCMS
Sentence
Dialogue
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Alexa at Gettysburg College• Student Initiated• Skills Available
• Dining Menu• Events• News• Phone Directory• Academic• Network Status• Campus Tour
• Academic Major Requirements Advisor (Dev)• Heavy Equipment Maintenance Assistant (Dev)• Garage Door Opener with Arduino (Dev)
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Alexa at Gettysburg College
• Objective: Reuse 100% of CMS Content
• Most time spent on Interaction Model (Journey Map)• Dialog• Designing Endpoint to:
• Determine the exact question• Search CMS content for an answer• Formatting CMS content to answer
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Interaction Model
• Utterances• What are the phrases users will be using?
• Intents• What are the general structures of user utterances?
• Slots (Predefined and Custom) • What are the variables and domain of values that a
user will speak in an utterance?
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Sample Interaction Model
• Utterances• Alexa, ask gettysburg college dining, to get menu for
commons on Thursday• HELP!!
• Intents• get menu for {Venue} on {Date}• help intent
• Slots (LIST_OF_VENUES) • {"Dining Center", "Servo", "Bullet Hole", "Bullet",
"Servo Express", "Express", "Dive", "Commons"}
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Consoles
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Alexa Console
Lambda Console
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IBM Watson at Gettysburg College
• Watson Assistant• Residence Hall selection
• Watson Studio like (Rapid Insights)• Trend data and major prediction
• Watson Discovery (Pre-Discovery… more to follow)• Student handbook expert
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Transforming a Handbook
• Using Retrieve and Rank before Discovery
• Generate Questions and Answers
• Formatting Content
• Diagramming sentences
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IBM Watson - Reflections
• Is still a very much changing system that can make programming challenging and at times very frustrating.
• Ever since the switch to “Discovery” I have had trouble finding up to date documentation that could help me program in Java, python, and even just CURL.
• The future (maybe closer than farther) IBM will release solid documentation once they stop changing their SDKs all the time.
• Get a working version of Watson without any code. Just have someone use IBMs web application to ingest data into Watson and see if it produces valid output.
• My problem was that Discovery is supposed to automatically split full documents into single answer units like “Retrieve and Rank” originally did but much more intelligently and with a lot less training required. Once that is successfully working you can create an Alexa application for it which will be really easy working alongside IBM’s APIs
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Lessons Learned
• Changing Tools (floor falls away)
• Transforming Content (easy or next to impossible)
• Designing the Dialog (most difficult)
• CMS – Database as a Service (DaaS)
• Watson - $$$
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What is Next?
• Launch new web site in January 2019• Retool Alexa Skills accordingly• Market Skills• Audience specific Skills
• Keep exploring Watson Assistant and Discovery
• Virtual Reality• Unity with CMS fed content
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Questions