Generative AI applications and the ease of interfacing with them in natural language have driven the evolution of modern AI adoption. This evolution has overcome barriers that made AI inaccessible to everyday adopters, enabling them to mobilize AI tools in new and creative ways.
"A lot of people that don't have the technical skills are able to use GNI applications through natural language, and we're not bound to structured data, tabular data, quantitative data anymore. We can now leverage unstructured data as well, which, of course, is the majority of data in the real world as data naturally is is messy, even in companies. And that was a massive unlock, which now has led to this adoption model evolving and changing significantly."
💬 Discussion
Generative AI applications and the ease of interfacing with them in natural language have driven the evolution of modern AI adoption. This evolution has overcome barriers that made AI inaccessible to everyday adopters, enabling them to mobilize AI tools in new and creative ways.