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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.

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Features

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.

2019 KM Promise Award Winner: Verint

At KMWorld 2019 in Washington, D.C., Thomas H. Hogan, Sr., CEO and president of Information Today, Inc. (ITI), presented the 2019 KM Promise Award to John Chmaj, chief KM strategist of Verint, who accepted the award on behalf of the company

2019 KM Reality Award Winner: GE Healthcare

At KMWorld 2019 in Washington, D.C., Thomas H. Hogan, Sr., CEO and president of Information Today, Inc. (ITI), presented the KM Reality Award to Burgoyne Hughes, senior manager, Call Center Operations at GE Healthcare, who accepted the award on behalf of the company

ViewPoints

Why a virtual agent makes sense in good times and bad

The current situation highlights how technology can help—particularly with disruption, a remote workforce, and the need to keep businesses running.

What on Earth is a CDP?

A generic CDP solution, promising end-to-end capability is going to leave you dissatisfied in the end

The secret to successful e-discovery

A multidisciplinary advisory team helps ensure a higher success rate and fewer problems throughout the e-discovery process

Overcoming a key roadblock to digital transformation

To truly take advantage of digital transformation organizations must adopt new approaches to "records management" and a new notion of what information really means to the organization.

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

SMART CONTENT GOVERNANCE

IT Monitors Company Content, Keeping Projects Secure

Data Governance Trends: Predictions, pitfalls, and technologies for the future of digital work

Transforming Media & Entertainment Content with Expert.ai Technology

Digital Asset Management Companies and Suppliers