The AI Hype Cycle Avalanche: Agentic AI and Governance Leadership in 2026
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.
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.
Glossary on all things AI relating to data and analytics.
IIA Roundtable Peer Insights
Check out the peer insights from IIA’s latest roundtable discussion on the essentials of responsible artificial intelligence (RAI) governance.
IIA Roundtable Peer Insights
Read the key takeaways from IIA’s roundtable discussion on how companies approached AI in 2024 and their key challenges moving forward.
Read this article to learn how GenAI is reshaping data science teams, making them indispensable for an organization’s competitive advantage.
The reality is that machine learning is a fantastic tool for creating robust and easy-to-maintain solutions to simple problems. Read this article for a real-world example and lessons to learn.
IIA Roundtable Peer Insights
Read the key takeaways from IIA’s roundtable discussion on practical use cases and integration challenges of agentic AI.
For some business problems, the optimal solution is likely a combination of predictive and generative AI. This article explores when both technologies shine and use cases for a hybrid approach.