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A Guide for CTOs to Get Started with Enterprise AI
This report gives CTOs a decision-making framework to build AI programs that are sequenced around business outcomes, governed before they scale and staffed for production.
AI and Data Priorities for 2026
A strategic roadmap highlighting the most critical AI and data focus areas for 2026
Every Manufacturer Wants to Be AI-first. Few Know Where to Start
For manufacturers serious about becoming AI-first, IT/OT convergence is the bridge that gets them there.
Closing the Enterprise Data and AI Readiness Gap: A Guide for Enterprise Leaders
Most enterprises have the platforms. Few have the operating discipline to activate them. This paper makes the case for treating data readiness as a leadership priority and outlines four actions to close the gap.
Is Your Workforce AI Pilot Ready to Scale?
Actionable guidance for IT and digital workspace leaders to move beyond AI pilots and toward organization-wide impact.
A Practitioner's Guide to Closing the Enterprise Data and AI Readiness Gap
Enterprise AI initiatives stall not from a lack of technology but because data isn't ready to be activated. This paper gives data engineering and AI practitioners a structured framework for building activation-ready data foundations, covering lifecycle discipline, medallion architecture, governance design and execution sequencing.
The AI Data War: Winning the Battle for Enterprise Data Supremacy
Enterprise AI ambitions are outpacing the data foundations that support them. This research note breaks down the forces driving this crisis (legacy architecture debt, data gravity and ungoverned AI data sprawl) and offers a workload-first, platform-neutral roadmap to help CIOs and CDOs build the data foundations AI actually demands.