2025 Year in Review: From AI Tools to Agentic Systems
Looking back in 2025, my blog content on the Knowledge Management Depot, I believe represents a cohesive, forward‑leaning body of … Read More
The Importance of Data Curation and Preparation for AI Solutions
Data curation and preparation are foundational steps in the lifecycle of any AI solution. These processes ensure that the raw … Read More
Ethical Use of Data for AI Applications – Panel Discussion
This panel discussion is on the ethical use of data in AI applications. Experts discuss crucial topics such as bias … 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
Ethical Use of Synthetic Data
Synthetic data is computer-generated data rather than data coming from real-word records. This data is typically created using algorithms, synthetic … 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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