Get your (data) house in order: Preparing for a future with AI
The landscape of artificial intelligence is evolving at an unprecedented pace, and data remains the central resource fueling its growth.
AI Tips & Recommendations
How to demonstrate ROI for your GenAI projects
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.
Why your AI project needs a community of practice and how to build one
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.
How to set goals for AI initiatives
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.
Build, buy, or borrow? Where to invest your GenAI resources
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?
From enthusiasm to execution: Practical recommendations for AI adoption success
Everybody wants to be an AI-first organization, but not everyone is quite sure what that means or what it requires.