Why traditional Agile/Devops models aren't good enough for AI production?

The need for convergence of people, process and technology in modern business has ignited the evolution of newer engineering methodologies. Artificial Intelligence (AI) is no exception. It demands even greater interaction of human and non-human resources in the production processes. AI solutions are built on the basis of an algorithm, data and the continuous learning process. Constantly growing data has enriched the quality of the knowledge and increased computing power has extended machine learning into deep learning; together, our collective ability to quickly evolve an AI solution has improved.