KMWorld 2023 Video - Chat AI and Metadata

Can metadata generate its own data?

KMWorld 2023 Video - How to Guard Against AI Bias

AI reflects the conscious and unconscious biases of the knowledge that's fed into it and the learning model at its core. So how do we arrive at a better understanding of our AI systems' biases-knowing that we may share them and have contributed to them-and take measures to curb and counteract them?

KMWorld 2023 Video - The Global Knowledge Center: A Big Picture View

What are the key elements of a Global Knowledge Center, and what does it take to build one?

KMWorld 2023 Video - How to Measure the Impact of Your Enterprise KM Solution

Choosing the right enterprise KM solution for your organization is only half the battle; measuring its impact after you implement it, both in terms of quantitative and qualitative metrics identifiable business outcomes, is just as critical to realizing your goals and demonstrating the impact of your efforts on the business.

Democratizing software development with no code/low code

By enabling greater productivity and accelerated software development timelines, no code/low code is on the rise.

What you should know about cross-border data transfer laws

Multinational companies are generally aware of data transfer laws, but smaller ones just embarking on looking beyond country borders may not be.

KMWorld 2023 sees a sea change

Most of the papers presented at the 2023 conference did not report on what had changed. Instead, they assumed and predicted that there would be substantial change.

Microsoft’s Copilot: A force multiplier for KM

Generative AI (GenAI) applications will increasingly transform organizations' IT platforms. Companies of any size that opt to create robust apps on their own, however, are in for a protracted, complex, and expensive experience.There's a better way: Buy into what I call a GenAI ecosystem from a vendor in whose tech you are already invested. These ecosystems are comprised of the sum of services customers mostly need to build and launch robust apps.

Was the web good for knowledge management?

So, yes, the web enables everyone with an internet connection and the freedom to use it to contribute to our new, global, contentious, and contradictory knowledge space. But I did not foresee the dark side because of an optimism born of privilege.

The flip side of generative AI: Extractive AI

Extractive AI takes a more comprehensive and transparent approach to machine intelligence.

Should we go back to paper-based KM?

The sheer volume of largely useless data we have accumulated across the years severely limits the ability of AI to work well, and it comes at a heavy environmental and financial cost.

The trust problem with GenAI

2023 has been the year of ultra-hyping GenAI, and who is paying for this deluge of marketing? Technology vendors that want us to buy it. Again, it's impressive stuff, but when we shift from selling to buying and ultimately using it, many tough questions need to be asked.

Unlocking the Power of Knowledge Management for Enterprise AI with Anzo and Knowledge Guru

100 Companies that Matter in Knowledge Management 2024

A Blueprint for Transforming Paper-Intensive Processes

eBook: Navigating IM In an Evolving Remote/Hybrid World