Text analytics reaches new territory

If you only want to sort through documents and classify them, text analytics may not be necessary, but if you are interested in understanding the meaning of the text for purposes such as concept extraction, then text analytics provides the best approach.

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.

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.

Managed services and governance requirements in a new virtual reality

Expect managed digital workspace services to grow into an in-demand offering, as more companies embrace remote work both during and after the current global pandemic

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.

Visibility is key to securing an ethical future for AI and machine learning

Visibility for AI and machine learning is an essential feature for avoiding bias, and building and maintaining trust in the technology

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

The twisted case of facial recognition

Machine translation continues to make strides forward. Facial recognition, on the other hand, has entered the twilight zone.

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.

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