In this second podcast with the visionary data scientist, entrepreneur and business leader, Sarah Dods, we dive into the details around product development and the role of data science. Across her career, from NICTA and CSIRO, through to AGL, Telstra Health, RMIT University and Gerson Lehrman, Sarah has had a long history in bringing innovation to market. One thing she says is that business leaders should not lose sight of how data science needs to work. It’s a team sport, in the same way that building a car requires more than someone to design and build the engine. “So, what do you need to make a solution supportable, sustainable and safe?” Sarah asks, before going on to note that another challenge that data science teams need to be cognizant of is that data science models fail silently. The application could be bringing garbage in, and pushing garbage out, and it will happily keep working, producing outputs that will no longer mean what you want them to. So teams need to think about your feedback loop. This is where agile comes from, in encouraging an iterative process in which the MVP is produced as quickly as possible, and then iterated on indefinitely as opportunities for ongoing development arise. Stay tuned for some deep insights from Sarah about the opportunities for data science to drive next-level product innovation. Enjoy the episode! Read the full podcast episode summary here. Thanks to our sponsor, Talent Insights Group Discover what the Data Futurology Community is up to...Join here

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Transcript

Related