As our machine learning models scaled from using dozens of data features to thousands of features, we realized most of the biases and issues that arose from the inferencing aspect of machine learning algorithms were a by-product of only a tiny portion of incorrect training data.
As the scale of training data increased, it was like trying to find a needle in a haystack. We needed fast and secure software capabilities that would provide an enhanced situational awareness of the data. These capabilities just did not exist.
Over time, we realized others were asking similar questions and facing similar challenges getting the most out of their data in a secure manner.
We started Zectonal as a result.
Now we Know.
What’s in your bucket?