Agile, CRISP-DM and CPMAI Methodologies in AI and ML Projects

Last decade has been witnessing consistent evolution of Artificial Intelligence, Machine Learning and other cognitive technologies. Irrespective of size, industry and target customer, companies are increasingly investing in projects based on these emerging technologies for varied reasons. Some businesses are focusing on building smart devices, which are amalgamation of three parallel development tracks of hardware, software, AI / ML models. Some are internal projects wherein the focus is on enterprise predictive analytics, managing fraud, or other tasks aimed at process improvement that serve to provide an additional layer of understanding or mechanism on top of existing data and applications. Various initiatives are based on interactive user interfaces that are spread across a plethora of systems and devices.