Most scientists agree that no one really knows how the most advanced algorithms do what they do, nor how well they are doing it. That could be a problem. Advances in synthetic data generation technologies can help. These algorithms generate data with a known ground truth, sufficient volumes and with statistically relevant true and false positives (TP, FP) and true and false negatives (TN, FN) for the nature of the test. AI algorithms can now be measured for precision, c, as the fraction of the predicted matches that are true positive matches, or c = TP/(TP + FP).
Coming soon to our website is our sample data page where users will be able to request and access some of our sample data to get a better feel of what we can do! We'll have different types of sample data available such as sample tax data, follow the money data, sample cyber security synthetic log files and more!