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The Business Potential of Machine Learning and Cognitive Computing

Recorded - available as on demand webcast

As programs and devices get smarter, special purpose applications will become more adaptable and self-configuring.  Algorithms will improve as they are used and will contain mechanisms to optimize over time.  

This is referred to as “machine learning” - a broad concept representing dozens of approaches and algorithms for improving how technology performs.  Some of these are fully automated and “black boxes” and others require structure and configuration to an organization’s information domain.  This class of technology is related to software becoming ever more  user friendly to the point where systems provide the appearance of understanding human intent.  This emerging field is called “Cognitive Computing” and holds great promise for all fields.  IBM Watson and Apple’s Siri are examples in the space. 

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Seth Earley
Seth Earley
Seth Earley is the Founder & CEO of Earley Information Science and the author of the award winning book The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable. An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions. He has worked with a diverse roster of Fortune 1000 companies helping them to achieve higher levels of operating performance.

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How to Design Omni-Channel IVAs That Humans Love To Use

During our webinar, "Omni-channel Virtual Assistants - The Next Frontier in Voice and Text for Customer Service guest speaker Chris Featherstone, who leads business development for AI and speech recognition services at Amazon Web Services (AWS) and Seth Earley, CEO of Earley Information Systems (EIS) discussed ways to design omni-channel virtual assistants to optimize their use across voice and text. When supported by an appropriate information architecture and designed with a deep understanding of the customer, virtual assistants can access enterprise knowledge efficiently, saving time and money. The key to success is to structure the underlying information so it can be retrieved and used by any channel, including humans, to deliver the responses that customers need. Here's a recap of the conversation.