May/June 2024 [Volume 33, Issue 3]

Features

How (and when) to update your KM strategy

Ensuring that KM endeavors support different access points, systems, and user preferences is a prime consideration for updating KM strategies. Vendors may also supply newfound capabilities (which an organization previously hadn't had access to) that warrant updating a KM strategy to avail organizations of new possibilities.

Cloud technology: A synergistic environment for KM and generative AI

Cloud technology may have become a commodity to some extent, but it is not a simple commodity. The technology that allows cloud computing to be dynamic and agile is composed of many interrelated components, which means that when one thing goes wrong, the problem can cascade.

ViewPoints

Navigating the risks and challenges of AI (quickly): Create an AI governance program

A strong AI governance program is essential to ensuring compliance and reducing risk. An equally important benefit is that by developing the governance program at the same time the AI application is being developed, issues can be identified early, thus avoiding system redesign or rework on the tail end.

KM in Practice

Epicor picks Agiloft to transform its contract lifecycle management

Leader in industry-specific enterprise software Epicor chooses Agiloft to digitally transform its contract-driven processes

MEGA selects SugarCRM for advanced sales automation

Sugar Enterprise will help the company improve free-to-paid user conversions and build customers for life

David Weinberger

Will AGI be intelligent?

AGI's holistic approach not only could enhance the accuracy and reliability of its decisions, but it would also mirror the interconnectedness of the real world.

The Future of the Future

Pushing the boundaries of knowledge curation

Knowledge democratization occurs in two directions, seemingly engaged in an endless tug of war: acquisition and dissemination.

Ethical Innovation

The third place of knowledge management

The third place I alluded to goes far beyond mechanistic KM or curated knowledge and takes us into the actual world of tacit knowledge. Here, knowledge comes from and often remains as personal experience, impressions, and intuition; it's undocumented and often hidden and elusive.