Artificial Intelligence did not enter enterprises as a single breakthrough moment. It arrived quietly, through fragmented pilots, narrow use cases, and proof-of-concept experiments that promised efficiency but rarely delivered transformation. The real challenge was never algorithmic capability. It was an alignment. Alignment between business intent, data readiness, and human trust. That realization shaped my journey with AI. The question evolved from what AI can do to what AI should do. When designed with purpose, AI becomes more than automation, it becomes an intelligence layer that helps organizations see patterns earlier, decide faster, and act with greater precision. Across deployments, the most valuable outcomes emerged when AI systems moved beyond prediction and began informing decisions embedded directly into workflows.
By Super Admin
|
January
08, 2026
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