Blog Posts: AI
IIA Expert, Mike Congdon, shares his perspective on defining AI literacy, strategies for promoting it, debunking AI myths, and glimpses into the future of this vital skill set.
Who owns AI in your organization? Who do you think should own AI? Here’s IIA’s take on AI ownership and the case for the CDAO to own AI.
Any enterprise looking to stay competitive must consider leveraging knowledge graphs and LLMs to unlock the value hidden within their data. This article unpacks the latest research and business implications.
In the third installment of Parul Pandey’s AI risk management series, we explore various strategies and practices beyond traditional model risk management.
In the second article in our AI risk management series, we pivot our focus to a vital element in the context of ML systems: organizational processes.
This article explores a short-list of techniques as you seek to adopt generative AI at the enterprise level. Use it as a checklist for patterns and resource for talent strategy
In part four of his blog series, Manas Das leads you through the different types of AI products and a thorough 10-step process for AI integration.
Too many AI projects are founded on the belief that it will be the solution to all your productivity and operating challenges. Here’s how to avoid this mistake.
Trade-offs in AI evolution demand thoughtful choices. The article describes how we must strike a balance between productivity vs. distribution, innovation vs. competition, and privacy vs. performance.