AI experimentation is officially over—2026 is the year of operational scale. Yet for the vast majority of enterprise leaders, the bottleneck to ROI isn't model sophistication or vendor selection. It is what lies beneath the surface: siloed legacy systems, fragmented data governance, and infrastructure built for a bygone era.
New enterprise research from Iron Mountain reveals that 86% of organizations have suffered significant AI deployment delays directly tied to data issues. Meanwhile, over half of all enterprise data sits completely "dark" or redundant—quietly inflating storage costs and draining capital that should be directly fueling your innovation agenda.
Join this exclusive briefing as we move past the myth of "AI readiness" and outline how market-leading executives are auditing, reclaiming, and mining their existing data and IT estates to self-fund AI scaling—without asking the board for net-new capital outlay.
Key executive takeaways
- Expose the true cost of "dark data" - learn how redundant and unindexed legacy data inflates operating budgets and actively stalls high-value AI deployments.
- Build a self-funding AI infrastructure - discover strategies for extracting trapped enterprise value from legacy assets and reallocating existing IT spend to fund next-gen capabilities.
- Bypass the governance bottleneck - modernize fragmented governance models to create an agile, compliant foundation capable of supporting rapid AI scale.
- Implement the C-Suite playbook for AI scale - gain a clear framework to bridge the gap between high-level AI ambitions and foundational IT reality.
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Speakers
Carol Garcia
Data Management Leader
Carol Garcia is a data management leader (ex-Wells Fargo), with extensive experience guiding global organizations through strategic and operational change. Her expertise spans strategy and roadmap development, policy alignment, AI transformation, and cross-functional change leadership. Carol brings an execution-focused perspective to help organizations move from strategic intent to measurable operational outcomes at scale.
Adam Williams
Vice President, Digital Ambassador & Customer Advocacy
Iron Mountain
Results-driven Agentic AI and digital transformation executive with deep experience helping global enterprise customers design, scale, and operationalize AI-driven solutions that deliver measurable business value and ROI. Expert in developing enterprise Agentic AI strategies that align intelligent automation, business process transformation, governance, and organizational adoption to drive scalable operational impact across global organizations. Prior to Iron Mountain, Adam spent a decade at Accenture leading global technology initiatives for the U.S. Department of Defense and delivering enterprise solutions for organizations including AstraZeneca, Merck, Best Buy, and Cigna.
Sue Trombley
Director, Law & Cyber
Speaker bio goes here.
Sue Trombley
Director, Law & Cyber
Speaker bio goes here.
Sue Trombley
Managing Director, Thought Leadership, Iron Mountain
Speaker bio goes here.
Sue Trombley
Managing Director, Thought Leadership, Iron Mountain
Speaker bio goes here.
Sue Trombley
Managing Director, Thought Leadership, Iron Mountain
Speaker bio goes here.