Making AI Work for Manufacturers
Dave Skrobela, Managing Director/Client Partner • Earley Information Science (EIS)
Chantal Schweizer, Principal Product Taxonomist • 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 experts 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.
Dave Skrobela heads up sales and business development at Earley Information Science, a professional services firm focused on information architecture and strategy. He has over two decades experience in building and launching enterprise data management and data analytics programs across a numbers of industries, including manufacturing, retail, banking, healthcare and education.
Chantal Schweizer is a principal consultant at Earley Information Science where she helps a wide variety of clients optimize their product information for successful UX and data management. Chantal has been working in the product data management industry for 15 years including designing cross platform information architectures, ontologies, testing navigation and UX, as well as, training and socializing data management tools and best practices.