Agility in Software 2.0 – Notebook Interfaces and MLOps with Buttresses and Rebars

Artificial intelligence through machine learning is increasingly used in the digital society. Solutions based on bring both great opportunities, thus coined “Software 2.0,” but also challenges for engineering community to tackle. Due experimental approach by data scientists when developing models, agility an essential characteristic. In this keynote address, we discuss two contemporary development phenomena that are fundamental development, i.e., notebook interfaces and MLOps. First, present a solution can remedy some of intrinsic weaknesses working notebooks supporting easy transitions integrated environments. Second, propose reinforced AI systems introducing metaphorical buttresses rebars MLOps context. Machine learning-based solutions dynamic nature, argue continuous required quality assure trustworthy tomorrow.