Analysis and Summary of The Knowledge Management Guidebook 2024 Edition
The Knowledge Management Guidebook 2024 Edition is a comprehensive resource that provides in-depth insights into knowledge management (KM) practices, … Read More
Having an AI First Mindset
Having an “AI First Mindset” is a strategic and operational approach where artificial intelligence (AI) is the primary focus or … Read More
Interview at KMWorld 2023 with Neural Search Talks
I recently had an interview with Jakub Zavrel of Neural Search Talks at KMWorld 2023. I shared my insights on
KM Mentor: Enhancing and Modernizing KM & AI Training
We at A.J. Rhem & Associates, a knowledge management and artificial intelligence consulting, training and research firm are working on
Artificial Intelligence Infused Knowledge Management
I recently spoke about Artificial Intelligence (AI) infused knowledge management and how AI can augment traditional knowledge management to improve … Read More
Essential Topics in Artificial Intelligence
Essential Topics in Artificial Intelligence represents my next book to be published by A.J. Rhem & Associates, Inc. This … 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).