Читать книгу Artificial Intelligence for Asset Management and Investment - Al Naqvi - Страница 40

Data is the lifeblood of machine learning. Without data, machine learning models fail to learn. In fact, not only do we need to have plenty of data, its quality needs to be good for the learning to be consistent with the goals of developing the artifact. Since each firm has its own data, the potential for each firm to perform in the AI era will be different.

Here are some of the capabilities needed for an AI-centric transformation: