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.

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

Observations on KMWorld 2019

At KMWorld 2019, three themes emerged with much greater emphasis than in previous years

How safe is your data in the cloud?

It's important not to immediately dive into using any cloud service without investigating what type of security measures are built into the platform. 

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.

The Power of AI-Assisted Enterprise Search

Beyond Translating Words: Solving Business Problems with Machine Translation

Guide to Evaluating Machine Translation Software

Digital Transformation Powered by Intelligent Content