Artificial Intelligence (AI) and Machine Learning (ML) can transform businesses by reducing costs, managing risks, streamlining operations, accelerating growth, and fueling innovation. But the increasing complexity of AI and ML developments coupled with the high failure rate hinders a broader adoption. Executives and business owners are concerned that their team spends too many resources (time, money, and people power) on projects with little tangible business value. Business analysts and other domain-level experts are worried about the technological challenges to get started and implement AI successfully. Last, data scientists and machine learning experts are frustrated by the myriad of repetitive and tedious tasks in an AI/ML project. By automating the end-to-end machine learning pipeline, Modulos AutoML brings machine learning to the right level of abstraction. Similar to the development of the database enabling people without database experience to store and manipulate large datasets, Modulos is allowing people to use and deploy AI solutions quickly and easily, allowing companies a holistic and efficient approach towards a company-wide AI strategy and allowing domain experts to utilize Machine Learning to their advantage.