Generative AI is finally finding its sweet spot, says Databricks chief AI scientist

Yuichiro Chino/Getty Images If you strip away all the buzzwords about enterprise artificial intelligence, such as "agentic AI," the reality is that companies are learning what works in practice as they experiment with the technology, according to data tools giant Databricks. Also: 10 key reasons AI went mainstream overnight - and what happens next "We're still learning where the right places are to put AI, where you can get the sweet spot of AI to help you solve a problem," said Databricks's chief AI scientist, Jonathan Frankle, in a recent interview he and I had in New York. A new kind of enterprise analytics Databricks Chief AI scientist Jonathan Frankle. Tiernan Ray On a basic level, generative AI, such as large language models, is making possible a new kind of enterprise analytics, said Frankle. Unstructured data, such as Word files, images, or videos, had no place in traditional data analytics before generative AI, noted Frankle. But now, it's a goldmine. "Imagine tons and ... Read full article.