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 explored data strategy and how humanization can level it up. This week, we discuss  the ethical implications of humanizing your data with very special guest and past host Triveni Gandhi. 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...

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 explored data visualization with Nathan Mannheimer from Tableau. This week, we discuss the ins and outs of data strategy from the individual level all the way up to the enterprise and how humanization can level up your strategy. Subscribe to the Banana Data Podcast on Apple or Spotify to receive alerts and stay up to...

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 explored the importance of storytelling with data. This week, we discuss data visualization with Nathan Mannheimer, Director of Data Science and Machine Learning at Tableau. 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.  Check out...

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 explored the importance of human in the loop within the ML pipeline with Christina Hsiao, Senior Product Marketing Manager at Dataiku. This week, we discuss storytelling with data. 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...

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...

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 differing methodologies and functionalities within the data science field with Emma Irwin, Solutions Engineer at Dataiku. This week, we are joined by Jeremie Harris of Towards Data Science to discuss what happens when humanization fails and consequences that can occur. Subscribe to the Banana Data Podcast on...

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 why technology’s long-term goal shouldn’t solely be efficiency, but actually emotional intimacy. This week, we were joined by Emma Irwin to discuss differing methodologies and functionalities within the data science field and her role as a Solutions Engineer at Dataiku. Subscribe to the Banana Data Podcast on...

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 why technology’s long-term goal shouldn’t solely be efficiency, but actually emotional intimacy. This week, we were joined by Matt Dorros to discuss the rise of the citizen data scientist and his role as a data analyst manager and data citizen at Wayfair. Subscribe to the Banana Data Podcast on Apple or...

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 how data insights can be humanized in an easily digestible manner. This week, we’ll guide you through why technology’s long-term goal shouldn’t solely be efficiency, but actually emotional intimacy. Subscribe to the Banana Data Podcast on Apple or Spotify to receive alerts and stay up to date on the big...

We're kicking off Season 5 of the Banana Data Podcast today. This season, we’re ushering in the notion of humanizing data science. We’ll guide you through issues such as why trends and technologies matter beyond your centralized data team and beyond the...

Welcome to part 2 of “In English Please!” This recap episode is summary of our "In English Please" segments which are quick explanations of complex data science terms, processes, or phenomena distilled into easy to understand concepts. Think of this as...

The Banana Data Podcast team is currently prepping for Season 5. In the meantime, check out a recap of all our In English Please segments. These “In English Please” segments are quick explanations of complex data science terms, processes, or phenomena...

Be sure to subscribe to our weekly newsletter to get this podcast & a host of new and exciting data-happenings in your inbox!In this Banana Byte, our podcast hosts discuss a recent breakthrough in drug discovery catalyzed by AI and Machine Learning....

In our final episode of season 4, Chris and Triveni discuss looming trends in data science and AI that will lead us into 2021. We'll touch on latency, normalized AI, citizen data scientists, and actualized responsible AI.Check out what we've been...

With the holidays in full force, we’re taking stock of all that we’re grateful for in our lives. In this Banana Byte, the Banana Data Podcast team shares the top data tools that they are thankful for. These tools make data science easier, quicker, and...

Today we’re sitting down with a roundtable of data science and machine learning experts from Spotify, PwC, and Google Cloud. What does it truly mean to be steeped in the data science industry and what considerations should be addressed as a...

In a world of work that is becoming increasingly virtual, the volume of data available to understand and predict employee output is growing at exponential pace. People analytics by virtue of AI and big data is essential to managing and improving...

On today’s episode, we are speaking to Oscar Wahltinez, Engineer at Google and Board Member at FinMango, about his work on the Covid Monitor Project and the value of data transparency and access for all. Here you can find links to Oscar's ongoing...

We're turning our attention towards the new Netflix documentary on the harms and potential of social networking: 'The Social Dilemma.' In this episode, Chris and Triveni comment upon the film's perspective on  data commodification, accountability, and...

Core algorithms might only take up a few times of code and a few minutes to do so. But, the rest of the program may get messy quickly. In this Banana Byte, we tackle the question of when its worth it to invest your time in code and the trade-offs...

The field of data science is wrought with many unsolved debates. Is data science nothing more than fancy statistics? What performs better: R or Python? Most crucially, do you need to be a great coder to be a great data scientist? In this episode, Chris...

Typically when the average person thinks of bots, it rings with a negative connotation. Bots are immediately associated with spam and fake personas. But, is there a positive flip side to this coin? Listen to our 15-minute Banana Byte to find out.   This...

In this episode, Chris and Triveni take a deeper look at CAPTCHA, a completely automated system that has become a nearly inevitable part of a user's online experience. How did complete automation of this system give rise to complications and exclusion...

In this episode, our Banana Data hosts discuss the many implications that can arise from misinterpreted data. What criteria needs to be established for valid conclusions from data and how can we interpret uncertainty? Check out what we've been...