🎯 Enterprise AI, the use cases

"Leveraging the power of AI", part 3 | Get started with AI | How-to guides and features

Since 1950s with Shannon’s application of information theory to human language, where he measured how well simple n-gram language models predict or compress natural language text, language modeling is a long-standing research topic.

In the meantime, statistical language modeling became fundamental to many natural language understanding and generation tasks, ranging from speech recognition, ma- chine translation, to information retrieval.

Today the ability to train LLMs on vast amounts of unstructured data, combined with almost unlimited computational power, yields the most significant transformation most industries have seen in decades.

Unlike other platform shifts—internet, mobile, cloud—where the market service industries lagged in adoption, we can now expect the best new companies and incumbents to embrace AI.

But in the battle between traditional information technology environments from incumbents and growing innovation from startups, the incumbents will have the capacity advantage given their access to proprietary data.

A clear understanding of how AI aligns with your overall business goals and define the specific problems and benefits is what is needed the most.

Leveraging the power of AI part 3: “Enterprise AI, the use cases”
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