Making AI Work for Manufacturers
Seth Earley, CEO
Earley Information Science (EIS)
AI has been getting its fair share of inflated and unrealistic expectations due to a lack of broad understanding by both 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. In this session, AI Expert Seth Earley will review what is necessary to begin or advance your AI journey including how to separate market noise and vendor hype from reality; elements of successful AI programs; the role of data quality and data architecture; and methods for finding and prioritizing AI applications.
Seth Earley is CEO of Earley Information Science (EIS), a leading consulting firm focused on organizing information for business impact, with expertise in knowledge strategy, data and information architecture, search-based applications, and information findability solutions. He has developed information management strategies for a wide variety of organizations including Fidelity Investments, the Internal Revenue Service, Abbott Laboratories, Plymouth Rock Insurance, 3M, Honeywell, and Gartner Group. He is a member of the editorial board for the journal Applied Marketing Analytics. Seth is the author of, “The AI-Powered Enterprise: Harness the Power of Ontologies to Make Your Business Smarter, Faster, and More Profitable.”