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AI in Knowledge Management : Moving from Static Repositories to Intelligent Knowledge Ecosystems

by Tony Rhem | Jul 21, 2026 | AI, Knowledge Management

Note: The Chapter AI in Knowledge Management will be published in the AI and Ethics Handbook, edited by Dr. … Read More

From AI Pilots to Enterprise AI

by Tony Rhem | Jun 30, 2026 | AI, AI Agents, AI and Ethics, AI Leadership, AI Strategy, Knowledge Management

Why Governance, Knowledge Architecture, and Leadership Now Matter Most

Introduction

Artificial Intelligence has moved beyond experimentation. Many organizations have already … Read More

Enterprise Intelligence High-Level Reference Architecture

by Tony Rhem | May 26, 2026 | Enterprise Intelligence, Reference Architecture

I am expanding on my previous post about Enterprise Intelligence to present a high-level reference architecture for implementing Enterprise Intelligence … Read More

What is Enterprise Intelligence?

by Tony Rhem | May 6, 2026 | AI, Business Intelligence, Enterprise Intelligence, Knowledge Management

Enterprise Intelligence

Enterprise Intelligence – History

Enterprise intelligence (EI) is not a new paradigm, however as it is positioned today … Read More

Why Assessing AI Algorithms Is No Longer Optional

by Tony Rhem | Mar 26, 2026 | AI, AI and Ethics, AI Governance, Assessing AI Algorithms

Artificial intelligence is moving fast, but responsible organizations cannot afford to move carelessly. AI is no longer confined to experimental … Read More

From Questions to Collaboration: How to Work Smarter with Large Language Models

by Tony Rhem | Feb 28, 2026 | AI, Generative AI, Large Language Models

Artificial intelligence (specifically Generative AI and Large Language Models) is rapidly reshaping how individuals and organizations work, but the real … Read More

The Importance of an AI Center of Excellence

by Tony Rhem | Jan 25, 2026 | AI, AI Center of Excellence, AI CoE, AI Governance, AI Leadership, AI Strategy

An Artificial Intelligence Center of Excellence (AI CoE) is critical for organizations seeking to move beyond isolated experimentation and toward … Read More

2025 Year in Review: From AI Tools to Agentic Systems

by Tony Rhem | Dec 26, 2025 | Agentic AI, AI, AI Agents, AI and Ethics, AI Governance, AI Leadership, Data Curation, Data Preparation

Looking back in 2025, my blog content on the Knowledge Management Depot, I believe represents a cohesive, forward‑leaning body of … Read More

Leveraging AI-Driven Data and Knowledge for Competitive Advantage in a Digital Economy

by Tony Rhem | Nov 30, 2025 | AI, AI Governance, Knowledge Management

It was a pleasure to attend the 20th International Conference on Knowledge Management (ICKM) as part of the combined GFIC-CIKI-ICKM… Read More

Bridging the AI Leadership Gap: Why Boards Must Lead, Not Follow, in the Age of Intelligent Systems

by Tony Rhem | Oct 27, 2025 | AI, AI Governance, AI Leadership, AI Strategy

Artificial Intelligence is not a technology story anymore; it’s a leadership story. The real question confronting every boardroom today isn’t … Read More

AstraZeneca Table Talk with Wayne Filin-Matthews – Global Head of Enterprise Architecture

by Tony Rhem | Sep 27, 2025 | Agentic AI, AI Agents, AI and Ethics, AI Architecture

On September22, 2025, I had the pleasure of participating as the invited guest speaker for the AstraZeneca Table Talk: … Read More

RHEMINISCING A New AI Podcast

by Tony Rhem | Aug 28, 2025 | AI, AI Leadership

RHEMINSCING with Dr. Tony Rhem, Artificial Intelligence Past, Present, and the Possible!

This podcast will launch November 4th of 2025.… Read More

The Importance of Data Curation and Preparation for AI Solutions

by Tony Rhem | Jul 31, 2025 | AI, Data, Data Curation, Data Preparation

Data curation and preparation are foundational steps in the lifecycle of any AI solution. These processes ensure that the raw … Read More

Intelligent Agents, AI Agents, Agentic AI… Oh My!

by Tony Rhem | Jun 30, 2025 | Agentic AI, AI, AI Agents, Intelligent Agents

AI Generated Image

In this blog post I want to bring your attention to the evolution of Agent technology in AI. When I … Read More

Book Review: “What Effective Leaders DO” by Sean Glaze

by Tony Rhem | Jun 14, 2025 | Effective Leaders, Leadership

In October of 2024 I had the pleasure of meeting Sean Glaze at the PMI Milwaukee SE Chapter Professional Development … Read More

Evaluating Agentic AI Solutions using the IEEE AI Ethics Framework

by Tony Rhem | May 27, 2025 | Agentic AI, AI, AI and Ethics, AI Governance, IEEE CertifAIEd

As a certified lead assessor in AI Ethics using the IEEE CertifAIEd Ethics Framework, I will examine the IEEE CertifAIEd … Read More

Agentic AI: Navigating Ethics and Compliance Risks

by Tony Rhem | Apr 20, 2025 | Agentic AI, AI, AI and Ethics

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

by Tony Rhem | Mar 23, 2025 | AI and Ethics, Compliance, Regulatory Landscape

Managing the Ethics and Compliance Risks of Artificial Intelligence by myself (Anthony J Rhem), Gwendolyn Hassan, and Patrick Henz… Read More

Ethical Use of Data for AI Applications – Panel Discussion

by Tony Rhem | Jan 29, 2025 | AI and Ethics, AI Governance, Data

This panel discussion is on the ethical use of data in AI applications. Experts discuss crucial topics such as bias … Read More

Key Insights from the 2024 AI Index Report and Strategic Recommendations for 2025

by Tony Rhem | Dec 30, 2024 | AI, AI Governance, AI Leadership, AI Strategy

The 2024 AI Index Report, developed by the Stanford Institute for Human-Centered Artificial Intelligence (HAI), offers an expansive overview … Read More

Red Teaming to Implement Ethical AI Solutions

by Tony Rhem | Nov 29, 2024 | AI and Ethics, AI Governance, Red Teaming

Red Teaming is a methodology used to test and evaluate the effectiveness of a system, process, or solution by simulating … Read More

ICKM Keynote Address: From Data to Justice – Creating Ethical AI Through Knowledge Management

by Tony Rhem | Oct 29, 2024 | AI and Ethics, Artificial Intelligence, Knowledge Management

On October 21, 2024, I had the pleasure of delivering the evening keynote address at the 19th International Conference on … Read More

The Leaders in Responsible AI Summit

by Tony Rhem | Sep 28, 2024 | AI and Ethics, Artificial Intelligence

The Leaders in Responsible AI Summit was hosted by Booz Allen Hamilton and Mission Control AI at Georgetown University on … Read More

Essential Topics in Artificial Intelligence – A Synopsis

by Tony Rhem | Aug 29, 2024 | AI, AI and Ethics, Artificial General Intelligence, Generative AI

Essential Topics in Artificial Intelligence, published by A.J. Rhem & Associates, Inc., Research Division, and authored by Dr. Anthony J. … Read More

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  • AI in Knowledge Management : Moving from Static Repositories to Intelligent Knowledge Ecosystems
  • From AI Pilots to Enterprise AI
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  • What is Enterprise Intelligence?
  • Why Assessing AI Algorithms Is No Longer Optional

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In print:

cover of Essential Topics in Aritifical Intelligence book

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.

cover of Essential Topics in Information Architecture book

Essential Topics in Information Architecture Information Architecture (IA) details important areas of interest in the principles and practice of implementing information architecture.

cover of Knowledge Management in Law Firms book

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.

cover of Knowledge Management Matters book

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.

cover of UML for Developing Knowledge Management Systems book

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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