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Learn where AI is creating supply chain impact by improving supplier coordination, reducing ambiguity, and giving teams earlier visibility into delivery risk. 

Current agentic AI technology works best vertically, not horizontally. Finance provides a proving ground where agents automate workflows, strengthen controls, and deliver measurable business impact. 

Many organizations have deployed AI training. The next challenge is adoption. Learn what separates awareness from real operational impact. 

As AI adoption accelerates, new challenges are surfacing in governance, operating models, and agentic platforms. See the questions enterprise D&A leaders are asking as they prepare for AI at scale.

As enterprises move beyond AI MVPs, this piece explains why real impact comes not from adding more agents or tools, but from deliberately connecting mature data platforms to specific business constraints, operating models, and measurable performance outcomes.

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. 

Build your analytics team with AI in mind with IIA’s strategic workforce planning framework.

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.

Rising pressure and rapid AI adoption are reshaping D&A work. What will drive 2026, and which priorities matter most?