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Knowledge Management
Knowledge management (KM) is the process of creating, sharing, using and managing the knowledge and information of an organisation. It refers to a multidisciplinary approach to achieving organisational objectives by making the best use of knowledge.

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Features

KMWorld 2023 Video - How to Develop an Effective Knowledge Center

What is a knowledge center, and how can an organization build one with a clearly defined purpose and scope, targeted experiences personalized for users, engagement metrics, and an established governance process that will make it effective and sustainable?

Promises and Perils of AI for Enterprise Knowledge Management

This survey reveals both excitement and trepidation around enterprise AI adoption for knowledge management. Long-standing problems around information access, data quality, and speedy acquisition of needed information are the puzzle pieces that AI has the potential to solve.

KMWorld 2023 Video - How the M-23-07 Federal Mandate Impacts Government Agencies

The M-23-07 federal mandate for electronic message management and preservation goes into effect June 30, 2024 with its digitization and record-keeping requirements going into effect the next day. What will this mean for government agencies and their electronic records management practices going forward?

KMWorld 2023 Video - The ROI of KM in National Non-Profits

In this clip from KMWorld 2023, Feeding America Chief Research Officer Tom Summerfelt discusses the direct and ancillary savings the organization achieves through its well-defined KM roadmap.

ViewPoints

What you should know about cross-border data transfer laws

Multinational companies are generally aware of data transfer laws, but smaller ones just embarking on looking beyond country borders may not be.

KMWorld 2023 sees a sea change

Most of the papers presented at the 2023 conference did not report on what had changed. Instead, they assumed and predicted that there would be substantial change.

Microsoft’s Copilot: A force multiplier for KM

Generative AI (GenAI) applications will increasingly transform organizations' IT platforms. Companies of any size that opt to create robust apps on their own, however, are in for a protracted, complex, and expensive experience.There's a better way: Buy into what I call a GenAI ecosystem from a vendor in whose tech you are already invested. These ecosystems are comprised of the sum of services customers mostly need to build and launch robust apps.

KM and AI: Experts look at what lies ahead for 2024

AI and dreams of its potential rocked this past year as companies moved quickly to embed and offer their own version of chat assistants, predictive and generative AI, and more

Columns

The five ages of data

Perhaps this latest phase in the history of data will bring us to accept inexplicable complexity as a property of the world. We could view this as pure chaos, but thanks to having lived through the past four ages in rapid succession, we might instead recognize that chaos as being rich with endless mysteries we will never uncover completely.

8 billion and counting

The message is clear: No single person or committee or group can weave the best paths through the infinite maze of possible event chains. Only humans and machines working together, side by side, can produce a better result than would ever be possible from either one alone.

The trust problem with GenAI

2023 has been the year of ultra-hyping GenAI, and who is paying for this deluge of marketing? Technology vendors that want us to buy it. Again, it's impressive stuff, but when we shift from selling to buying and ultimately using it, many tough questions need to be asked.

When is good enough enough?

Our goal should be to improve the quality of knowledge assets and their accuracy and relevance in use. Much of this will come from human expertise and effort, increasingly combined with the power of AI.

Knowledge Management Whitepapers

Document Viewing Integrations in Enterprise Content Management and Document Management Solutions

Business Impact of Technical Content – The ROI Paradox

Connecting external data sources to CCMS is now a breeze.

Knowledge Graphs Expose Data Connections

Knowledge Management Companies and Suppliers
Knowledge Management Directory