Strategies for Accelerating AI Return on Investment
Efficient AI adoption can significantly reduce Total Cost of Ownership (TCO) while enhancing return on investment (ROI) in enterprises. This article outlines key strategies for leveraging AI, focusing on in-house solutions and products from vendors to optimize costs and accelerate benefits.
Reducing the total cost of ownership (TCO) is a priority for many business leaders as they navigate the increasingly complex realm of artificial intelligence (AI). Understanding optimization strategies can ensure that investments in AI lead to superior returns. This is especially pertinent as AI tools become central to modern enterprises.
Strategies involve choices like the development of bespoke in-house AI capabilities or purchasing ready-made solutions from AI vendors. Crucially, leveraging large language models (LLMs) offers intriguing opportunities to enhance return on investment (ROI). These strategies come as part of broader trends in Enterprise AI, focusing on faster and more efficient deployment to achieve quick gains.
From mitigating initial costs to enhancing functionalities over time, the successful adoption of AI translates into tangible business improvements. Readers can explore these insights in depth and read more at Data Science Central.
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