Date: Mon, 05 Jul 2021 09:00:00 -0400
<p>Welcome back to our bi-weekly episodes of Season 5 of the Banana Data Podcast! This season, we’re ushering in the notion of humanizing data science. In last week’s episode, we discussed what happens when humanization fails and consequences that can occur with Jeremie Harris Towards Data Science. This week, we are joined by Christina Hsiao, Senior Product Manager at Dataiku to discuss the importance of having a human in the loop within the ML pipeline. Subscribe to the Banana Data Podcast on Apple or Spotify to receive alerts and stay up to date on the big conversation in data and AI. <br /><br />Check out what we've been reading: </p><ul><li><a href="https://towardsdatascience.com/whats-mlops-5bf60dd693dd"><b>What's MLOps? Managing complex ML systems at Scale</b></a></li><li><a href="https://www.dataiku.com/stories/mlops/"><b>MLOps as a Critical, Emerging Role</b></a></li></ul><p>Be sure to subscribe to our <a href="https://banana-data.com/">weekly newsletter</a> to get this podcast & a host of new and exciting data-happenings in your inbox!</p>