Today’s app delivery teams face increasing pressure to deliver application value faster. As a result, organizations are having to approach and execute application delivery differently. Development disciplines must evolve to incorporate data science intelligence.
However, many organizations struggle to align and optimize effective data science with application life-cycle management. It has become critical for organizations to not only select and implement the right AI tools to enhance app delivery but also understand the risks.
This paper reviews the use of ML and data science to enhance app life-cycle management capabilities and how bringing productized ML and AI processes together with agile delivery aids enterprises with enhancing application delivery performance.
