Growth Series BLOG

Its a Premium BLOG template and it contains Instagram Feed, Twitter Feed, Subscription Form, Blog Search, Image CTA, Topic filter and Recent Post.

All Posts

Designing AI Programs: Why You Need Ontology & Information Architecture

Recorded - available as on demand webcast

AI has been getting its fair share of inflated and unrealistic expectations due to a lack of broad understanding of this wide-ranging space by software vendors and customers.  Software tools can be extremely powerful, however the services, infrastructure, data quality, architecture, talent and methodologies to fully deploy in the enterprise are frequently lacking.  This four-part series by Earley Information Science and Pandata will explore a number of issues that continue to plague AI projects and reduce the likelihood of success.  The sessions will provide actionable steps using proven processes to improve AI program outcomes.

Part 3: "The Role of Ontology" 

Ontology is a new sounding term if you are not in the AI, library science or semantic space. There is a philosophical context and there is our context. In philosophy, ontology is the study of being. In our information context, it describes a domain of knowledge.

  • Ontology: what is it and why should you care?
  • Why lots of data alone won’t be enough for AI success
  • Determining when an ontology is needed
  • Understanding of how ontologies are developed and applied

Be sure to check out all sessions in this series:

view webcast

Recent Posts

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.