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 nearly all the developers and subject matter experts with knowledge 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 your company’s decisions, so it makes sense to improve the 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 resources, references, processes, SMEs, and tools…and what can be done Read more…