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In part 1 of this series, we explored why AI in ITAM can’t succeed without strong foundational data. In this second part explores a critical vulnerability: incomplete...
Artificial Intelligence (AI) is rapidly becoming a cornerstone of modern IT Asset Management (ITAM). From automating asset discovery to predicting license needs and...
You can’t build tomorrow’s team with yesterday’s blueprint
What is DORA? In January of this year, the Digital Operational Resilience Act (DORA) went into effect. DORA is the legal framework specifically aimed at strengthening...
Part 4: How to ensure growth in knowledge and maturity of team members
Part 3: How do I find and select the right people? – 3 Tips
Part 2: How to build my team - choices for internal and external expertise
Part 1: The importance of an ITAM team
FinOps depends on a strong ITAM data foundation, so we can move past "how do we cut costs?" and start asking "where should we invest to create the most value?" That's the mindset shift that defines FinOps in 2026. It's four consistent habits being: executive involvement, broad scope, embedded cost awareness, and a single source of truth. All built on a strong ITAM foundation!
Behind many FinOps challenges lies a simple problem: the data is not consistent. This is exactly where ITAM comes in. Its core discipline - identifying, naming, owning, and tracking assets throughout their lifecycle - is precisely that what FinOps needs. It doesn't start with dashboards or tooling, but with getting the data right. And getting the data right starts with solid ITAM.
