The expanding world of knowledge management

As one of the most mature of the technologies that supports knowledge management, search solutions have changed so much from the days of keyword searching that they are now often referred to as "insight engines."

The best cloud KM combines cutting-edge technology with smart oversight

Cloud-based KM requires a careful balance of innovation and restraint. The best results ensue when companies combine aggressive adoption of advanced technology with strong central oversight, traditional taxonomy, and flexible implementation to accommodate different parts of the business.

The critical role of enterprise content management in digital transformation

The ability to personalize is an indicator that an organization is managing its content well enough to deliver what each individual needs.

Preparing ECM platforms for the future - KMW Webcasts KMWorld Live

Modern content requires support for digital form factors, the bridging of information silos, the ability to deliver insight and intelligence, the support of new content types, governance and security, cloud adoption acceleration, the ability to operate at extreme scale, and an easy way to build new apps.

Knowledge management and the impact of COVID-19

Executives at leading knowledge management software and services organizations are reflecting on the lasting impact we can expect

Harnessing the power of text analysis

Understanding natural language processing, common obstacles faced, and methodologies to overcome them

Choosing the right CMS

The easiest way for marketers to create a unified communications strategy is by using a content management system

Next in Data Privacy Compliance: The California Consumer Privacy Act

Compliance with new U.S. data privacy laws requires the right information management strategy

Deep project management

Given the increased negative media exposure that comes from project failure, organizations need more tightly integrated, intelligent project management systems, in addition to people who have the requisite skills. This need will grow as systems continue to become more complex and timelines more tightly compressed.

Flipping data science

No matter how much "intelligence" is programmed into a computer, it will very likely never understand the results it produces. Doing so takes human cognition, intuition, judgment, and other ways we humans make sense out of data.

Rebooting the information refinery

In the field of knowledge management, of course, the idea of turning data into information into knowledge has been a foundation concept for knowledge managers. But frankly, the ability to achieve this alchemy of data to knowledge has not been broadly demonstrated in practice. A next generation information refinery is required to make something meaningful and valuable out of the raw data flying around the firm and throughout the internet economy.

A deep future approach to KM

We're familiar with the near-term portion of the time spectrum—from femtosecond lasers used in eye surgery to high-frequency trading in milliseconds on the major securities exchanges. Unfortunately, the extreme opposite end of the time spectrum, the "deep future" receives little if any attention. Decisions in fields such as genetic engineering, nuclear energy, geopolitics and the like can have serious implications for human civilization. But the impact of those decisions might not become apparent for many thousands of years and hundreds of generations.

How to Leverage AI Behavioral Models to Maintain Customer Satisfaction with Work-From-Home Agents

Intelligent Data Hub: The Next Generation of Smart Data Management

New Approaches to Master Data Management

Intelligent Data Hub - Taking MDM to the Next Level