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Digital Asset Management
Digital Asset Management (DAM) is a critical business process guiding the organizing, retrieval, and storage of rich media and digital rights and permissions. These assets include graphic images and photos as well as audio/video materials.
Features

KMWorld 100 Companies That Matter in Knowledge Management 2021

From back-end developers to mission-critical workplace automation: The low-code advantage

The advantages of workplace automation are predicated on improving enterprise efficiency, which typically takes two forms: perfecting the automated steps in workflows and uncovering new processes to automate.

The centerpiece of data governance: Making information quality pay off

Poor information quality wastes monetary resources, squanders data's underlying value to the enterprise, and significantly increases risk in the form of regulatory compliance or litigation.

THE SMART MONEY: Decoupling financial services for cross-departmental big data integration

Monetizing data while complying with regulations in finance is increasingly dependent on the ability to decouple the enterprise—across departments, business lines, and individual services.

ViewPoints

Knowledge management culture and the government workforce

The biggest change for many organizations since the onset of the global COVID-19 pandemic has been determining the policies and tech that make a digital workplace work, as well as strengthening department, team, and personal connections

Capitalizing on the Data Economy: Why MDM and Data Governance Have Never Been More Critical

Platform-style MDM solutions in particular provide the data model flexibility to allow the business to develop a common data model, often for the first time in an enterprise

How to hire your organization’s first knowledge manager

Common pitfalls to avoid and skills to look for when hiring your first KM manager

Review is not the most expensive part of e-discovery

Reviewing documents isn't what drives document review costs

Columns

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.

Knowledge Management Whitepapers

6 Killer Applications for Artificial Intelligence in Customer Engagement Contact Centres

Transform Customer Service with Next-Gen Knowledge

The New Knowledge Management Required for Customer Service in the COVID Era

The New Digital Customer Engagement for the New (Ab)Normal

Digital Asset Management Companies and Suppliers