The evidence is in, businesses need to take a disciplined, back-to-basics approach focused on fundamentals like data quality and classic ML techniques before considering glittering advances like generative AI.
Build your analytics team with AI in mind with IIA’s strategic workforce planning framework.
In IIA’s latest RAN roundtable, data and analytics leaders came together to discuss challenges and decision-making processes to building or buying generative AI for enterprise analytics.
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.