AI Tips & Recommendations

Now that GenAI applications are top-of-mind across so many industries, we can see another set of benefits of a clean, centralized knowledge base: an opportunity for vastly improved AI training, leading to more powerful solutions and more satisfied users.

The landscape of artificial intelligence is evolving at an unprecedented pace, and data remains the central resource fueling its growth.

In this article, we explore why it’s hard to evaluate the return on AI investments and how to identify metrics that can more accurately reflect ROI.

In this article, we’ll explain what a CoP is, unpack why they’re so valuable for AI projects, and offer some practical tips for building one.

If you start building AI without a clear purpose and a clear definition of what you hope to gain out of it, your hard work may be for nothing.

Does it make sense for you to build your own GenAI model, buy a third-party solution out of the box, or use an open-source model as your foundation and tune it to your needs?

Everybody wants to be an AI-first organization, but not everyone is quite sure what that means or what it requires.