Engineering Enterprise AI: The Foundations That Enable Value at Scale

Engineering Enterprise AI:

The Foundations That Enable Value at Scale

 

WEBINAR, February 18, 1PM ET|10AM PT

Many organizations are experimenting with generative AI and large language models, but far fewer are achieving sustained enterprise value. The gap is not model performance. It is readiness.

This webinar explores what it truly means to engineer AI for the enterprise. Rather than focusing on tools or isolated use cases, it examines the foundational capabilities required to apply AI and LLMs effectively across the organization. These capabilities span knowledge and information architecture, operational processes, technical infrastructure, and governance. Together, they determine whether AI accelerates decision-making and execution or simply amplifies existing fragmentation.
 
Participants will learn how AI readiness depends on connecting knowledge, operations, and governance into a coherent system. Particular attention is given to the role of semantic architecture in creating shared context, enabling trustworthy AI outputs, and increasing the speed and accuracy of information flow. The session also introduces the idea of enterprise “information metabolism” and how LLMs, when properly grounded, can dramatically improve how organizations sense, interpret, and act on information.
 
This webinar is designed for senior leaders, architects, and practitioners who want to move beyond experimentation and understand how to build the conditions for AI-driven value at enterprise scale.

Register
 

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Meet The Speaker

Seth Earley

CEO & Founder
Earley Information Science

An expert with 20+ years experience in Knowledge Strategy, Data and Information Architecture, Search-based Applications and Information Findability solutions.

Seth 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.

thomasblumer

Meet The Speaker

Thomas Blumer

Project Manager & Principal KM/AI/DAP Consultant
Earley Information Science

With over two decades of knowledge management (KM) experience, Thomas has been instrumental in integrating KM practices into Fortune 500 companies and spearheading transformation within software companies through the adoption of disruptive technologies such as Artificial Intelligence (AI) and Digital Adoption Platforms (DAP). Thomas's approach is characterized by a readiness to embrace challenges and a commitment to elevate businesses to their next level. His strategic vision and innovative methodologies have consistently delivered enhanced efficiency, productivity, and competitive advantage.

 

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Meet The Speaker

Heather Eisenbraun

Chief Information Architect
Earley Information Science

With a remarkable track record spanning over two decades, Heather has transformed information retrieval accuracy by as much as 70% and slashed content search times by 60% for Fortune 500 companies, all through the clever application of strategic taxonomies, metadata schemas, and modular RAG implementations.

A Certified Knowledge Specialist in Business Taxonomy & Ontology, Heather is passionate about reimagining how organizations prepare content for success in the GenAI landscape—shifting the focus from traditional OCR to evolving documents into structured information resources. With her depth of expertise and visionary approach, Heather inspires audiences to rethink the future of enterprise knowledge management.