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.

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.

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

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

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.

Bloomfire Included in Forrester’s Now Tech: Knowledge Management for Customer Service, Q3 2020 Report

Mitigating Collaboration Risk Workbook

Learn how to build actionable plans to mitigate risk in Office 365 or any other collaboration workspace your organization uses.

Using and Tailoring Microsoft Teams for Your Organization

Learn how to handle surging activity in Teams and boost security and compliance.

Hakkasan Optimizes Global Operations with Egnyte