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Seth Earley is an expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions. Earley 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.
Earley is a sought-after speaker, writer, and influencer. He is the author of "The AI-Powered Enterprise" from LifeTree Media which was released in April, 2020. In 2021, the book received the Axiom Business Book Silver Medal in the Artificial Intelligence / Robotics / Algorithms category. Earley was named to Thinkers360 top 50 global thought leaders and influencers on Artificial Intelligence for 2022, and CXO Outlook's top 10 Most Influential CEO's of 2022.
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, CEOWorld, TechTarget, eCommerce Times, Analytics Magazine. Journal of Applied Marketing Analytics, and he co-authored “Practical Knowledge Management” from IBM Press.
Speech Topics
ChatGPT and Large Language Models in the Enterprise: What Executives Need to Know
AI is a rapidly growing field that has the potential to revolutionize many industries. However, many people are still unsure of what AI is and how it can be applied to their environment. Seth Earley shares his knowledge and expertise gained over 25 years of consulting about how new and emerging technologies can be safely and effectively deployed in the enterprise. Large Language Models and ChatGPT types of applications are getting a great deal of attention, but how can organizations use them to retrieve information across the entire enterprise, speeding information flows and creating new efficiencies and capabilities? AI solutions require having the correct data and the correct information architecture. Seth explains how this can be achieved at scale saving hundreds of millions of dollars in costs and increasing revenue by the same order of magnitude through case studies and examples. For a pharmaceutical company, the use of a knowledge architecture improved accuracy from 53% to 83% and eliminated hallucinations for a highly sensitive portfolio review application while providing audit trails, protection of IP and explainability. Seth educates and level sets with a warm, humorous, and engaging style accessible to both executives and practitioners.
Knowledge Engineering – “The Last Mile” of Artificial Intelligence
The Journey to AI Powered Transformation: Practical Steps for Achieving Real Business Value
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