The process of software development is dramatically different today compared to even a few years ago. The shift to cloud computing has meant that companies need to develop and deploy software in ever shrinking timeframes while maintaining high quality of code. At the same time, developers can now get access to large amounts of data and telemetry from users. Is it possible for companies to use Machine Learning and Artificial Intelligence techniques to shorten the Software Development Life Cycle while ensuring production of robust, cloud-scale software?
Find out more about this and a lot more in this podcast with Chandra Madilla and Chetan Bansal, who are Research Software Development Engineers at Microsoft Research India.
Listen to the podcast here
