KMWorld 100 Companies That Matter in Knowledge Management 2021

Looking to the future: 2021 Insight

KM teams should focus not just on pushing new technology but also on how they can better support foundational capabilities such as collaboration and expertise location in the digital workplace.

Graph databases team up with BI: It’s all about relationships

BI software, which is widely used and deeply embedded in many enterprises, can be enhanced bygraph databases that focus on connections.

Information governance 101: The regulatory compliance survival kit

Mapping data's flow throughout the enterprise is pivotal for securing information assets since it allows organizations to consider what they're trying to protect and what that requires.

Knowledge management in 2021: KM enters a new stage

The knowledge graph stage emerged in full at KMWorld Connect 2020

How to hire your organization’s first knowledge manager

Common pitfalls to avoid and skills to look for when hiring your first KM manager

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

With an overnight WFH revolution, a chance for companies to reassess their IP security

As your company rises to the challenge of the post-COVID tech landscape, take the time to ensure your most valuable assets

Decentralized knowledge management

Decentralization, though a boon to technology vendors, poses a unique set of challenges and risks for information and knowledge managers to grapple with.

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.

6 Killer Applications for Artificial Intelligence in Customer Engagement Contact Centres

Transform Customer Service with Next-Gen Knowledge

The New Knowledge Management Required for Customer Service in the COVID Era

The New Digital Customer Engagement for the New (Ab)Normal