Blog Posts: Methods & Practices

In IIA’s latest RAN roundtables, data and analytics leaders came together to discuss a wide variety of topics related to generative AI. Here’s the key takeaways.

Part 1 in our series on self-service programs demystifies the concept and lays the groundwork for adopting self-service analytics within the unique history, culture, and characteristics of your organization.

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 key factors for comparing machine learning solutions, providing an improved approach to model comparison beyond predictive power.

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