AIaaS is gaining momentum precisely because AI-based solutions can be economically used as a service by many companies for many purposes.
As these companies continue to grow and mature, expect to see AIaaS surge, particularly as vertical markets become more comfortable with the AI value proposition.
An AIaaS provider with knowledge of a specific vertical understands how to leverage the data to get to those meaningful insights, making data far more manageable for people like claims adjusters, case managers, or financial advisors.
If we extend the claims adjuster example from above, he could use AIaaS for much more than predictive analysis.
Once flagged, the adjuster could take immediate action, as guided by an AI system, to intervene and prevent the claim from heading off the rails.
While these examples are specific to insurance claims, it’s not hard to see how AIaaS could be tailored to meet other verticals’ needs by applying specific information to solve for a defined need.
The place for AIaaS. AIaaS models will be essential for AI adoption.
This article was summarized automatically with AI / Article-Σ ™/ BuildR BOT™.