An Executive Guide to Evaluating AI (beyond just Generative AI) : Use Cases and Adoption Strategies
Key Takeaways
⇨ Generative AI, particularly LLMs like GPT-4, has gained prominence but overshadowed other valuable AI tools that provide specialized analytical capabilities.
⇨ Non-generative AI tools, integrated into business applications, offer predictive and prescriptive insights that enhance efficiency in business processes, including source-to-pay (S2P).
⇨ While generative AI presents challenges related to data quality and ethics, traditional AI tools continue to play a crucial role in improving digital capabilities and overall business outcomes.
The article emphasizes the importance of integrating traditional AI tools alongside generative AI, like GPT-4, to enhance enterprise applications and address challenges related to data quality and ethics while improving automation and business outcomes.
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