4 Guiding Principles of Knowledge Governance (Video)

Land Title & Survey Authority of British Columbia (LTSA) policy manager Lisa Poeckert discusses the principles the LTSA applied in building its data governance model in this clip from her presentation at KMWorld 2019.

BI and ANALYTICS sustain smart city initiatives

Despite the challenges, cities of all sizes have succeeded in setting up smart city programs, although most consist of one or more point solutions rather than a full ecosystem.

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.

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.

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

Knowledge management and the new normal

James Carroll, partner and director at TetraVX,  and Kevin Beasley, CIO at VAI, explain the importance of security and privacy safeguards in the new COVID-19 WFH world

David Weinberger's new book, Everyday Chaos, is honored with Axiom Award

When you try to develop a machine learning application that affects people, you quickly learn that fairness is far more complex than we usually think, and also that fairness almost always requires us to make difficult trade-offs

Choosing the right CMS

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

Bringing adult supervision to machine learning and AI

Human and machine knowledge governance has many moving parts. No governance means leaving things to chance. Too much governance means clogging up the system and slowing things down to a crawl. The trick is achieving the right balance based on your organization's size, goals, strategy, and risk profile.

Ethical issues in AI and cognitive computing

Many innovations from the past needed the insight of entrepreneurs as well as technologists to change the world. That's also the case with machine learning and AI.

Coming soon to your newsfeed —Ethics and AI

People need to be sensitive to the many ways ethical judgments are being baked into the fabric of their AI projects.

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