The 3 Things You Need To Know About Predictive AI

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Some problems are better solved with predictive AI than with generative AI. To run more effectively, many business operations need prediction more than they need the generation of new content. That’s why predictive AI is the kind of AI companies turn to for improving the effectiveness of large-scale processes.

Predictive models decide whom to contact, approve, test, warn, investigate, incarcerate, set up on a date or medicate. They target operational decisions: Market to those likely to buy. Approve for a loan those likely to pay on time. Test those likely to have a disease. 

But the world isn’t making it easy for predictive AI to succeed. First, genAI's current popularity leaves predictive AI a relatively unsung hero. Second, prediction boils down to probabilities and probabilities aren't sexy. A cultural aversion hinders companies from embracing them. For many business professionals, the topic of probability can seem at best boring and at worst arcane and complex.