In the era of digital transformation, enterprises want to be responsive and innovative. They adopt agile practices to help with this but there are few success stories. Moreover, most success is limited to the team level. There are deep cultural shifts required to be successful in the new world and one of the biggest elements that stops organizations from succeeding in the technology space is fear of failure. This crippling fear works at all levels from individuals to departments and business units and it is imperative for organizations to take bold steps to eradicate it.

This talk will explain what's at stake because of the fear of failure and a few ways in which enterprises can tackle it.

When agile came into being, a lot of the new technologies that we know today did not even exist. Does our definition of agile and the process that we follow change with new areas of technology thinking like data science, artificial intelligence & big data engineering coming into picture? Does INVEST make sense for data stories? Do we even write stories or should we work hypotheses instead? Do we need Acceptance Criteria or Exit criteria? How do lean, agile & product principles work in context of AI problems? What happens when science meets products?