Originally published on September 25, 2018

This is the 32nd article in the Profiles in Knowledge series featuring thought leaders in knowledge management. Tony Rhem is a consultant, educator, writer, and the author of Knowledge Management in Practice and UML for Developing Knowledge Management Systems. I first met Tony at KMWorld 2016, and we met again at the 2017 Midwest KM Symposium in Cleveland. I suggested that he contribute a chapter to Knowledge Management Matters, which he did.

Tony regularly presents the application and theory of Software Engineering Methodologies, Knowledge Management, and Artificial Intelligence. He consults with venture capitalist and investment firms, specifically pertaining to technology innovations, proven practices, and trends. Tony serves as a KM advisor, KM strategist, Information Architect, and KM governance strategist. He has played an integral role in the successful implementation of KM systems, KM methods, and KM strategies in multiple industries.


Since 1990, Tony has served as President/Principal Consultant of A.J. Rhem & Associates, a knowledge management and system integration consulting, training & research firm located in Chicago, Illinois. As a consultant, strategist and advisor, he has worked with U.S. Fortune 500 corporations in retail, communications, financial, insurance, legal, logistics, education, healthcare, US government and the military. His experience includes Artificial Intelligence (Expert Systems and Neural Networks), Big Data and Cognitive Computing.

As an advisor, Tony’s work includes Chairman — Board of Trustees Knowledge Systems Institute; Industry Advisory Board — International Conference on Software Engineering and Knowledge Engineering (SEKE); Technology Council of Advisors Gerson Lehrman Group (GLG); Chair — International Bar Association (IBA) Law Firm Management Working Group on KM and IT; and Member of the National Science Foundation Review Panels in the areas of AI, KM, Big Data and Education.

As a professor and corporate instructor, he has trained hundreds of personnel across many organizations on the principles, practice and application of enterprise content management, software engineering, knowledge management and information architecture. Tony is an active presenter at KM conferences both domestic and international, and continues to write articles and books in KM.


  • Walden University — PhD, Knowledge Management, 2005
  • DePaul University — MS, Computer Science/Artificial Intelligence, 1989
  • Purdue University — BS, Marketing/Computer Science, 1982



1. Web Site

2. Newsletter

3. Blog

4. Twitter

5. LinkedIn

6. KM Chicago

7. International Bar Association

8. KM Institute

  • AI
  1. The Connection between Artificial Intelligence and Knowledge Management
  2. The Connection between Artificial Intelligence and Knowledge Management — Part 2
  3. The Connection between AI and KM — Part 3 — Cognitive Computing Technology
  • IA
  1. Information Architecture and KM
  2. The Role of the Information Architect
  3. Information Architecture and Big Data Analytics
  4. Governing the Information Architecture — Model, Taxonomy, Metadata
  1. Lack of Executive Leadership/Sponsorship
  2. Inadequate Budgeting and Cost Expectations
  3. Lack of participation from all levels of a corporation
  4. Inadequate processes and technology
  5. Lack of Knowledge and Resources
  6. Lack of education and understanding of KM
  7. KM does not become ingrained into the corporations work culture
  8. Lack of a Knowledge Sharing Environment
  9. Lack of metrics to measure the impact of KM on the corporation or insufficient/incorrect metrics being captured
  10. Lack of monitoring and controls in place to ensure the knowledge is relevant and is current and accurate


1. Taxonomy Boot Camp

2. Midwest KM Symposium, 2017 Knowledge Acquisition in Big Data: Leveraging AI and KM for Big Data Analysis in Cancer Research

3. SlideShare

4. SIKM Leaders Community May 2021 Call: Artificial Intelligence & Big Data In Knowledge Management


1. YouTube

2. KM in Practice Part 1

3. KM in Practice Part 2: Questions

4. Implementing Knowledge-as-a-Service through the Digital Workplace

5. KM and AI

6. Knowledge Acquisition in Big Data

7. Quick Intro to Information Architecture Master Class

8. Class: Information Architecture

9. Artificial Intelligence and Big Data in Knowledge Management


1. Amazon Author Page

2. Knowledge Management in Practice

3. UML for Developing Knowledge Management Systems

4. Knowledge Management in Law Firms edited by Luis Felipe Mohando, Silke Gotschalk, Martin Schulz, and Gerard Tanja

  • Chapter 2: KM governance for law firms with Porcia Newell
  • Chapter 9: KM in legal project management
  • Chapter 11: Knowledge management in mergers and acquisitions

5. Knowledge Management Matters: Words of Wisdom from Leading Practitioners edited by John Girard and JoAnn Girard

  • Chapter 7: Knowledge Management and Big Data

6. A Research Agenda for Knowledge Management and Analytics edited by Jay Liebowitz

  • Chapter 6: Knowledge management and measurement

Knowledge Management Author and Speaker, Founder of SIKM Leaders Community, Community Evangelist, Knowledge Manager https://sites.google.com/site/stangarfield/