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Technology spend has become the second-largest expense line item for enterprises — surpassed only by people. Yet as artificial intelligence rapidly proliferates across cloud environments, organizations face a critical gap: traditional FinOps teams optimize cost, while ITAM teams ensure compliance and visibility. These disciplines operate in silos, leaving shadow AI systems untracked and uncontrolled. The shift is inevitable: FinOps and ITAM must converge into a unified function that delivers both financial rigor and governance discipline. 

One-third of IT decision-makers have placed AI integration at the top of their strategic agenda, with 94% actively embedding AI into their technology stacks. Yet 36% of organizations believe they are overspending on AI — a gap that reveals the cost of fragmentation. Departments deploy generative AI tools, machine learning pipelines, and agentic AI systems without registering them in ITAM inventories or routing them through FinOps cost controls. 

As agentic AI moves from concept to production, organizations will need a unified discipline that combines asset governance with cost optimization — precisely where FinOps and ITAM intersect.

Microsoft SQL Server 2016’s extended support is scheduled to end on July 14, 2026, meaning no new security updates or patches will be supplied thereafter. Running a database platform past its end of support significantly increases security, compliance, and operational risk, especially for regulated workloads. Particularly for regulated workloads under GDPR and DORA, prompting a strategic rethink of data platforms.

In every modern cloud-driven organization, innovation depends on experimentation. Developers, architects, and data teams constantly need safe spaces to build, test, and break things—without putting production workloads or budgets at risk. Especially now in the AI-era. In theory, AWS makes this easy. In practice, creating and governing sandboxes across an enterprise AWS environment is far more complex than it appears.

Cloud cost management continues to evolve rapidly and FinOps & ITAM practitioners are increasingly looking for consistent, reliable data to manage spend across cloud and SaaS. With AWS now officially supporting FinOps FOCUS 1.2 as a native data-export format, the cloud ecosystem takes an important step toward better standardisation.

A practical guide for IT leaders navigating cost, value and risk in the era of enterprise AI.

In the Predicts 2024: Unraveling Tomorrow’s Cloud Computing Landscape (ID G00800051) Gartner makes the interesting strategic planning assumption that by 2026, 40% of organizations will reduce the pace of their cloud adoption due to challenges managing increasing public cloud expenditure. Now why is that?