The execution blueprint: Driving high-yielding outcomes in enterprise AI architecture

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By Vikash Sharma, CEO SparxIT

Artificial Intelligence has ceased to be just a prototype stage. Across the board, corporations have plowed funds into AI pilots, generative AI tools, predictive analytics, and intelligent automation. Still, even with all these developments, lots of organisations find themselves confronting an old problem: turning AI expenditure into tangible results.

Typically, the problem is not the piece of technology itself. On most occasions, it is the lack of an execution plan that allows AI to be spread throughout the enterprise.

Enterprise AI is a whole new ball game compared to simple deployment of AI models or partly relying on consumer tools. It needs a design that links human resources workflows data, regulation, and tech together into one system. If you don’t establish that, the best of AI models will just be single solutions with limited value over time.

Creating a strong data structure is the primary...

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