Understanding potential pitfalls—and how to overcome them—can help organizations maximize the value of this technology.

All these data needs to be organized and validated – prepared for business analytics. Knowledge Management can be defined in many ways as it spans many multi-disciplinary approaches – content ...

With AI creating a need for knowledge engineering, information science (as we used to call it) has come full circle. It comes ...

Data, of course, plays a key role in fueling AI, which performs most effectively and delivers the greatest value when fed ...

Join the brightest minds in knowledge and information management at KMWorld 2023 this November in Washington ... critical knowledge and business value from your organizational data. Join us as we ...

Trusting which data to use and what can be deleted still requires human oversight; startups are at a disadvantage.

Even the staunchest sceptics are now recognising that generative AI is here to stay. But was 2024 the year that the AI ‘hype bubble’ burst?

AI-generated legal and regulatory content should be backed by structured legal databases to avoid misinformation and legal ...

The conversational capabilities of large language models (LLMs) are reshaping business workflows, from customer support and knowledge management to advanced analytics and decision making. However, ...