KM in Talent Management
Talent Management is often referred to Human Capital Management. Many organizations are faced with the problem of retaining talent as Where Have My Experts Gone?
Recently I had a conversation with one of my colleagues regarding his organization’s loss of critical expertise.
As people started … Read More
Leveraging KM for M&A Transactions – Part 3: Human Capital Management
People are at the core of Knowledge Management (KM). Mergers and Acquisitions thrive and survive on the strength of how Human Capital Management Strategies – Part 2
In order to properly manage your organizations human capital assets it is important to identify who are the knowledge holders … Read More
Human Capital Management Strategies – Part 1
As part of a comprehensive Human Capital Management Strategy an understanding of the roles, work products (artifacts), and tasks (activities) … 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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