As we feed more data into LLMs and AI technologies, the noise and data biases will interfere with the final output. Businesses should go deeper than bigger to get the most out of their enterprise data.
Who, what, where, when and why are the five Ws of journalism, authoring and research. But they’re the same fundamental questions swirling about artificial intelligence (AI).
In the digital era, data is cheap, interpretations are expensive. An agile semantic data platform combines facts and what they mean to create reusable organizational knowledge.