Explainable AI. Not simply having the complex algorithm, but knowing its workings. A transparent framework for every action taken by the machine. This necessity establishes embedded, real-time internal controls. Full auditability secured. Gaining trust where once there was only speculation.
Two thousand twenty-five is a ledger closed.
The future is marked by refinement, by consolidation. Not wild experimentation now. A quiet settling over the vast digital landscape. The great chaotic sprint to adopt AI has passed. Professionals spoke of this across firms and corporate offices. Many organizations raced to install solutions, fearful of being left behind.
Yet they learned the true cost. The difficulty. The promised direct financial ROI often remained elusive. A confusing aspect: the adoption proving more costly and complex than the vendors had pitched.
Consequently, the focus shifts entirely to governance. The question of whether or not to adopt the technology is settled, says Tammy Coley, chief transformation officer at BlackLine. Execution remains.
Digital transformation will no longer be measured by the raw speed of new automation tools installed. The measure is data integrity. The framework beneath the ambition. We observe the dramatic focus on building systems that stand firm. Strong governance structures ensuring that this powerful technology yields tangible results, built on bedrock, not sand.
With 2025 now behind us, all eyes are on 2026 and everything it will bring. While the roughly 150 professionals, vendors and advocates we spoke to ...Alternative viewpoints and findings: See here
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