How Companies Can Easily Deliver Appropriate Explainable Artificial Intelligence - Dan Fiehn

As the adage goes, a workman is only as good as his tools. There is no disputing that, but you can never overlook the power of qualification, aptitude, and experience when it comes to data quality. You need to select a data quality team that is acquainted with the high dynamism of the digital world and is up to date with contemporary data management tools and techniques. The data steward or the data architect or the data leadership/management team should understand both the IT and business aspects of the whole arrangement for a more harmonious strategy. One should understand the objectives of the organization, the type of business in, the demanding market conditions plus the impact of data across these and be conversant with the big picture.