What is it? Why does it matter?
If you’ve been around in the last five years and haven’t been stranded in the jungle like Robin Williams in Jumanji, you’ve probably heard of Large Language Models, or LLMs.
In fact, millions of individuals and businesses use AI tools like ChatGPT daily to enhance productivity and efficiency, with ChatGPT alone reaching over 100 million users within just a few months of its launch.
The flow is more or less always the same:
- Open ChatGPT (or equivalent) website.
- Give it some context and a question.
- Rinse and repeat point 2 until satisfied with the result.
However, the scenario changes if we talk about inputting all of your business data into an LLM. It’s unrealistic to copy-paste millions, if not billions, of rows into a chatbot.
This means we’d have to implement a system that moves all this data out of the warehouse, feeds it to an LLM, and moves the results back to the warehouse for further analysis.
And we all know that moving massive quantities of data is incredibly tedious and expensive.
At this point, it is easier to bring LLMs to your data.
This is exactly the value proposition of Cortex AI. It integrates LLMs directly with your data, allowing you to interact by:
- Ask direct questions — “Summarize all the negative reviews”
- Have a coding assistant — “Write a query to calculate churn rate”
and a bunch of other cool stuff.
And that’s just the beginning.
Want more details about what Cortex AI can do? Keep on reading.
