TLDR: Generative AI (genAI) has gained a lot of attention since the release of ChatGPT in November 2022. However, predictive AI remains the workhorse in many organizations, accounting for a larger percentage of use cases and models. While genAI is a transformative technology, it is not the best solution for every use case. Traditional analytics, which looks backward to uncover insights about the past, and predictive AI, which analyzes past data to make accurate forecasts about the future, are still widely utilized. In some cases, predictive and genAI can work in tandem to generate reports or diagnoses. Organizations looking to implement AI solutions should consider using a common platform that can support both predictive and genAI, rather than building separate stacks for each. Processes for governance and testing can also be adapted from predictive AI to manage the risks associated with genAI. Companies like Domino Data Lab offer an enterprise AI platform that can manage both predictive and genAI from a single control center, streamlining development, deployment, and management.
Generative AI is sizzling, yet predictive AI remains the powerhouse.
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