AstraZeneca Table Talk with Wayne Filin-Matthews – Global Head of Enterprise Architecture
On September2
2, 2025, I had the pleasure of participating as the invited guest speaker for the AstraZeneca Table Talk: … Read More
Agentic AI: Navigating Ethics and Compliance Risks
Agentic AI, an evolutionary expansion of Generative AI and Large Language Models (LLMs), is rapidly transforming how machines interact with … Read More
Managing the Ethics and Compliance Risks of Artificial Intelligence
Managing the Ethics and Compliance Risks of Artificial Intelligence by myself (Anthony J Rhem), , and Patrick Henz… Read More
ICKM Keynote Address: From Data to Justice – Creating Ethical AI Through Knowledge Management
On October 21, 2024, I had the pleasure of delivering the evening keynote address at the 19th International Conference on … Read More
Essential Topics in Artificial Intelligence – A Synopsis
Essential Topics in Artificial Intelligence, published by A.J. Rhem & Associates, Inc., Research Division, and authored by Dr. Anthony J. … Read More
In print:
Essential Topics in Artificial Intelligence AI evolved from expert systems to today’s machine learning and generative models; covers ethics, LLMs, AGI, and NLP basics.
Essential Topics in Information Architecture Information Architecture (IA) details important areas of interest in the principles and practice of implementing information architecture.
Knowledge Management in Law Firms is a collection of insights on managing knowledge in a law firm, from Knowledge Management professionals around the globe. KM in Law Firms is produced in association with the International Bar Association.
Knowledge Management Matters brings together the expertise of the world's thought leaders of KM, who share tips, tactics, and techniques.
Knowledge Management in Practice gives detailed information on applying knowledge management (KM) practices, procedures and techniques to solve real world problems.
UML for Developing Knowledge Management Systems provides knowledge engineers the framework in which to identify types of knowledge and where this knowledge exists in an organization.
It also shows ways in which to use a standard recognized notation to capture, or model, knowledge to be used in a knowledge management system (KMS).
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