If you’re just joining, welcome. Before launching in at the middle, it might be useful to go back and read Part 1, Part 2, and Part 3. I’ll wait. Recapping very briefly: It seems that most everybody has become comfortable Read more
This tale may sound familiar to companies that have not yet crossed the Data Chasm (and maybe even to some that have). A project team was modernizing a major operational system. One that had been written decades earlier. One where Read more
It all seems so easy. Companies are recognizing that the accuracy of artificial intelligence and machine learning applications is directly related to the quality of the data used to train the models. Obviously, you want to improve the quality of Read more
With Christmas approaching, I thought it would be fun to imagine what a data person might want to receive on the twelve days of Christmas. Probably not drummers drumming and calling birds (or colley birds…argue that one amongst yourselves). I Read more
This is the first in a series of articles that explores the question of why we continue to see overwhelming numbers of analytics, artificial intelligence, machine learning, information management, and data warehouse project failures despite the equally overwhelming availability of Read more