Seth Earley

Founder & CEO
Earley Information Science

An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions, Seth has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance by making information more findable, usable and valuable through integrated enterprise architectures supporting analytics, e-commerce and customer experience applications.

Seth Earley is a sought-after speaker, writer, and influencer. His writing has appeared in IT Professional Magazine from the IEEE where, as former editor, he wrote a regular column on data analytics and information access issues and trends. He has also contributed to the Harvard Business Review, CMSWire, Journal of Applied Marketing Analytics, and he co-authored “Practical Knowledge Management” from IBM Press.

Earley Information Science is a professional services firm dedicated to helping organizations become a customer-driven enterprise. We implement digital transformation initiatives that provide personalized, accurate, and fulfilling customer journeys that drive measurable ROI. To learn more, visit www.earley.com.

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Earley Information Science   

Session

Making Chat and Voice Bots Scalable, Portable and Reusable

Chat bots are brittle and costly to scale. At the end of the day, a chatbot is a channel to data, content and knowledge. This means that sound information retrieval approaches have to be followed. AI content should not be considered as significantly different from other content (with some exceptions). In this session we will discuss how to solve problems today and prepare the organization for the future by modeling content and knowledge assets so that they can be reused in multiple contexts from traditional search and retrieval through AI driven approaches. This will show leadership how to approach chat and voice bots so that content and data is flexible and usable across contexts and applications.

Wednesday, November 06, 2019

11:45 AM - 12:30 PM

AI, Machine Learning & Automation

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