Resources

In this roundtable discussion, data and analytics leaders discuss their challenges and successes in crystalizing the value of analytics for the business through data storytelling.

In establishing enterprise analytics programs, leaders often neglect the importance of characterizing their cultural state and unique information economy. This eBook provides an easy-to-follow framework on how to do so.

This peer-to-peer discussion explores strategies for upskilling, continuous workforce training, and how to cultivate a culture of innovation to stay competitive in the rapidly evolving landscape of generative AI.

Many data and analytics leaders struggle to create a holistic framework for their team that supports them in successfully navigating the push-pull tension between the business and analytics. Simply avoiding…

As others wade through the AI hype, Eric Siegel reveals the bizML framework, a six-step practice designed to take machine learning projects from conception to deployment.

Join IIA Experts Carole Piovesan and Durrell Robinson as they discuss the dominant approaches to AI governance and strategies for building flexible ethical frameworks.

Join this powerhouse panel of IIA Experts and explore emerging trends, technological shifts, and strategic considerations shaping AI strategy in 2024.

This guide provides a roadmap for organizations moving from Stage 3, where analytical awareness takes root, to Stage 4, where analytics becomes seamlessly integrated into the enterprise.

Dan McCreary knows a thing or two about representing knowledge in a vast, complex organization. Come join him in this webinar covering the 2024 AI strategy landscape.