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Implementing AI initiatives can be challenging, as the true costs are often underestimated. This white paper guides CTOs on effectively budgeting for AI projects, highlighting common mistakes like underestimating total cost of ownership, scaling costs, and hidden expenses. It offers strategies to evaluate ROI, including defining success metrics, measuring costs and benefits, and building financial partnerships.

The paper also discusses how a data and AI operating system can reduce costs from setup to maintenance and deployment by consolidating expenses, minimizing compliance costs, and providing expert support. Read the full white paper now to learn how to budget for AI projects and maximize ROI.