Companies worldwide are feeling the pressure to adopt organizational artificial intelligence (AI) and machine learning strategies. However, many organizations struggle to get their AI and machine learning projects to work, especially as their data processes become more complex. Collecting, organizing, implementing, and streamlining vast amounts of data is a lot of work that involves many different teams with varying capabilities and needs
