Previously, it was said that data is essential for making effective decisions. Everyone strived to become data-driven. Now, it is said that data is very important for AI.

Here is an article that says what worries companies now is not a lack of data, but incorrect context or its lack for AI. Many have started implementing agents but encountered that context is very important for their correct operation. Context requires not only data but also that it can be used conveniently and quickly.

I also really liked the term "context engineering." I think that soon there will be such specialists - context engineers, just as data engineers once appeared.

Read