AI Is Easy to Start and Hard to Finish
Many organizations have AI in motion. Tangible value is elusive. Learn what separates enterprise AI programs that scale from those that never make it past early momentum.
Many organizations have AI in motion. Tangible value is elusive. Learn what separates enterprise AI programs that scale from those that never make it past early momentum.
From GenAI to agentic AI in under a year, enterprises face more questions than answers. Learn how AI governance leaders can navigate hype cycles without losing sight of value.
AI is being sold as a revolution, but today’s pressure to act fast is pushing organizations toward decisions they can’t sustain. This article lays out why 2026 demands a more disciplined mindset—one centered on readiness, governance, and human judgment over hype.
In our last installment exploring IIA’s Returned Business Value (RBV) framework, Jack Phillips explores the variable of risk and common failure modes we see in organizations.
In the second installment exploring IIA’s Returned Business Value (RBV) framework, we take a closer look at calculating commercial value in analytics and AI.
Learn key value questions and scoring criteria when assessing the first pillar of the Returned Business Value (RBV) framework for analytics and AI: strategic alignment.
Read this article to learn about the power of retrospective ROI and making the case for win-win data strategies.
Explore how savvy analytics leaders are using lightweight A/B testing and portfolio thinking to build political capital, demonstrate value, and secure future investment.
Stop chasing downstream metrics. See how leading teams frame platform value as an enabler and get the business to tell the story with them.