According to Jonathan Frankle, chief AI scientist at Databricks, businesses are still figuring out optimal AI applications through practical experimentation. Generative AI is reshaping analytics by enabling the examination of unstructured data like documents and chat logs, which previously had limited utility. This evolution opens new avenues for extracting insights from complex information, enhancing enterprise decision-making. Frankle believes that useful analytics have emerged from unstructured data sources, which were once deemed 'useless,' signifying a substantial shift in the landscape of data analytics capabilities.
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.
Imagine tons and tons of unstructured documents, which are really tricky to analyze in a pre-generative AI or pre-LLM world, and suddenly you can extract meaningful features from them.
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