Anthony Rhem: Profiles in Knowledge

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.

Background

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.

Education

• Walden University - PhD, Knowledge Management, 2005

• DePaul University - MS, Computer Science/Artificial Intelligence, 1989

• Purdue University - BS, Marketing/Computer Science, 1982

Profiles

• Web Site

• LinkedIn

• SpeakerMatch

Content

1. Web Site

2. Newsletter

3. Blog

4. Twitter

• A.J. Rhem Associates

• Personal

5. LinkedIn

• Articles

• Posts

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

• Measuring the Effectiveness of Your Knowledge Management Program

• Why do Knowledge Management (KM) Programs and Projects Fail? by Anthony Rhem

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

Presentations

1. Taxonomy Boot Camp

• 2013 Utilizing Ontologies for Taxonomy & Content Organization - Slides

• 2012 Taxonomy & Information Architecture with Seth Earley, Seth Maislin, and Gary Carlson - Slides

• 2011 Taxonomies & Ontologies for Content Management and Search - Slides

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

3. SlideShare

• Knowledge Management for Research Institutions: A Key Ingredient to Innovation and New Product Creation

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

• Slides

• Recording

• Leveraging KM Governance: The Road Ahead

• Test Strategy Discussion

• Designing and Implementing Taxonomies and Ontologies in Enterprise Search

• Human Capital Management: Capturing Worker Knowledge

• Leveraging KM in Support of BRAC Movements

• Complete Lifecycle Management with David Schneider

Videos

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. AI Ethics and KM

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

Books

Amazon Author Page

1. Essential Topics in Artificial Intelligence: An examination of AI Ethics and Governance, Large Language Models, Artificial General Intelligence, and Natural Language Processing

2. Essential Topics in Information Architecture

3. Knowledge Management in Practice

• Review

• Excerpt: Being Social – Knowledge Management and Social Media

4. UML for Developing Knowledge Management Systems

5. 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

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

• Chapter 7: Knowledge Management and Big Data

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

• Chapter 6: Knowledge management and measurement