Episode 004 | August 04, 2020 Podcast: Can we make better software by using ML and AI techniques? With Chandra Maddila and Chetan Bansal 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? We talk about this and more with Chandra Maddila (https://www.microsoft.com/en-us/research/people/chmaddil/) and Chetan Bansal (https://www.microsoft.com/en-us/research/people/chetanb/), who are Research Software Development Engineers at Microsoft Research India. Click here (https://www.microsoft.com/en-us/research/project/sankie/) for more information on Project Sankie. Related Microsoft Research India Podcast: More podcasts from MSR India iTunes: Subscribe and listen to new podcasts on iTunes Android RSS Feed Spotify Google Podcasts Email Transcript Chandra Maddila: One of the biggest disconnects we used to have in boxed product world where we used to ship software as a standalone product and give it to customers is, once customer takes the product, it is in their environment, we don’t have any idea about how it is being used and what kind of issues people are facing unless they come back to Microsoft support and say, “Hey, we are using this product, we get into these issues, can you please help us?”. But with the advent of services, one of the beautiful things that happened is, now we have the ability to collect telemetry about various issues that are happening in the service. So, this helps us pro-actively fix issues and help customers mitigate outages and also join the telemetry data from deployment side of the world all the way into coding phase, which is the first phase of software development life cycle.