Organizations often know their goals for generative AI but not how to achieve them. Selecting the right AI model is crucial to avoid negative impacts. A model selection framework helps balance performance, cost, risks, and stakeholder needs, ensuring responsible, transparent, and explainable AI workflows.


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Discover the benefits of AI platforms enabling this customization in the IDC Spotlight paper commissioned by IBM. Learn how watsonx.ai's foundation models and prompt engineering capabilities can enhance your AI strategy.

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As generative AI (GenAI) is becoming a necessity to improve the performance of enterprise’s people, process, information and technology, and 85% of enterprises believe that investment in GenAI technology in the next 24 months is important or critical, it’s imperative you choose the right software provider to support your GenAI needs.

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Businesses recognize that they cannot scale generative AI with foundation models that they cannot trust. While most model providers focus solely on improving price-performance, IBM prioritizes trust and transparency while still achieving suitable price-performance when designing and delivering models for various use cases and applications.

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