Banana Data Podcast - Season 4

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We're a data science podcast, focused on the latest & greatest of the DS ecosystem, sprinkled in with our musings & data science expertise. With topics ranging from ethical AI and transparency to robot pets, our hosts, Triveni & Chris, are here to keep you up to date on the latest trends, news, and big convos in data. Click here to to listen to the Banana Data Podcast. 

If you're looking to keep the knowledge up, be sure to also subscribe to our weekly Banana Data Newsletter! Register here

Title Description
Weighing the Good and Bad in AI For our season 4 kickoff, we’re taking a look at uses of AI that aren’t so black and white. When it comes to deepfakes, filtering, and predictive policing - when do the risks outweigh the benefits? Are these use-cases inherently bad, or is there a way to combat underlying unfairness? We're also welcoming our new host, Christopher Peter Makris to the show in his inaugural episode!
Machine Learning Pet Peeves This episode, Chris and Triveni take a look at the most common mistakes in AI, and the misconceptions that plague most data scientists as a result. We'll explore how perceptions of data quality, data quantity, and accuracy can impact data science in practice, and what steps you can take to avoid these pitfalls.
Banana Byte: How Much Math Do You Need for Data Science?

We're talking about one of the most frequently asked questions by people looking to jump start their Data Science career: do you need to have every mathematical formula memorized? What are the true prerequisites you need to be prepared in this field? Tune in and we’ll get you up to speed.

This is one of our Banana Byte series-  which are short, bi-weekly segments we run live on LinkedIn and Twitter, where we discuss the latest headlines and topics in the data science space. Be sure to tune in for our next live session, or check this one out on Linkedin, and stay-up-to-data with the Banana Data Podcast!

Exciting Global AI

In this episode, we take a look at a number of international Artificial Intelligence initiatives and evaluate what countries with burgeoning data science ecosystems can take away. How are lesser known Artificial Intelligence powerhouses like Sweden, Vietnam, and Kenya are supporting innovation both intra and internationally?

Banana Byte: Viral Tweets, Skynet, and The Reality of Data Science

When people generally think of AI they think in futuristic terms defined by movies like The Terminator. However AI, at least at this moment, is nowhere near Skynet, a fictional artificial neural network-based conscious group mind and artificial general superintelligence system that serves as the antagonist of The Terminator franchise. Instead of worrying about Skynet, maybe we should worry about this bear wielding nunchucks, which seems like more of an immediate problem.

This tweet of course is a funny, but apt, metaphor on the immediate challenges we face with AI that need to be addressed now as opposed to the future.

This is one of our Banana Byte series- which are short, bi-weekly segments we run live on LinkedIn and Twitter, where we discuss the latest headlines and topics in the data science space. Be sure to tune in for our next live session, or check this one out on Linkedin, and stay-up-to-data with the Banana Data Podcast!

Conscious Data Disclosure & AI Consumption

In this episode, our hosts Chris and Triveni walk us through commonly overlooked implications of what it means to dole out personal data. What are the downstream effects of sharing your data? What are you benefitting and losing from opting out of data collection?

Banana Byte: Misinterpreted Data and Understanding Uncertainty

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 reading: 

Why Bleach, Disinfectants And Other Antibacterial Products Kill Only 99.9% Of Germs

Margin of Error - Twitter

This is one of our Banana Byte series- which are short, bi-weekly segments we run live on LinkedIn and Twitter, where we discuss the latest headlines and topics in the data science space. Be sure to tune in for our next live session, or check this one out on Linkedin, and stay-up-to-data with the Banana Data Podcast!

A Deeper Look at CAPTCHA Systems

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 of a smaller subset of the online community? How do you distinguish between pure artificial intelligence and artificial intelligence that's being powered by a human? Finally, what ethical concerns should we be taking into consideration?

Banana Byte: The Good, the Bot, the Ugly

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 is one of our Banana Byte series- which are short, bi-weekly segments we run live on LinkedIn and Twitter, where we discuss the latest headlines and topics in the data science space. Be sure to tune in for our next live session, or check this one out on Linkedin, and stay-up-to-data with the Banana Data Podcast!

The Data Debate Stage

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 and Triveni take these burning questions to the debate stage.

Banana Byte: Is Investing Your Time in Code Worth It?

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 between developing something accurate vs. something quick.

This is one of our Banana Byte series- which are short, bi-weekly segments we run live on LinkedIn and Twitter, where we discuss the latest headlines and topics in the data science space. Be sure to tune in for our next live session, or check this one out on Linkedin, and stay-up-to-data with the Banana Data Podcast!

Our Social Network

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 how the we can all be more responsible and effective creators.

How The COVID Monitor Project is Driving Data Transparency & Access

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 work: 

Banana Byte: Using AI to extend People Analytics

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 organizations’ effectiveness.

Learn more about the article's we're reading:Tech Is Transforming People Analytics. Is That a Good Thing? by Tomas Chamorro-Premuzic and Ian Bailie (Harvard Business Review)

This is one of our Banana Byte series- which are short, bi-weekly segments we run live on LinkedIn and Twitter, where we discuss the latest headlines and topics in the data science space. Be sure to tune in for our next live session, or check this one out on Linkedin, and stay-up-to-data with the Banana Data Podcast!

What Does It Mean to Be a Data Scientist?
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 practitioner?Roundtable Interviewees: 
  • Sanjay Agravat, Machine Learning Specialist at Google
  • Alex Simonoff, Senior Data Scientist at Spotify
  • Abdallah MJ Musmar, Data Science Lead at PwC
Banana Byte: Data Tools We're Thankful For
 
Hey Ashley thank you for your suggestion. Can you explain your reasoning behind the need for the 2 kudos threshold for a response? Is it a bandwidth concern? Are you trying to better organize and prioritize responses for ideas?
 
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 more understandable thus improving our lives every day.This is one of our Banana Byte series- which are short, bi-weekly segments we run live on LinkedIn and Twitter, where we discuss the latest headlines and topics in the data science space.
 
Be sure to tune in for our next live session, or check this one out on Linkedin, and stay-up-to-data with the Banana Data Podcast!
2021 Trends in AI
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.
Banana Byte: AI Is Revolutionizing Biological Sciences - What Are the Implications?
In this Banana Byte, our podcast hosts discuss a recent breakthrough in drug discovery catalyzed by AI and Machine Learning. What are the larger implications of this discovery and why is it significant?
 
 
This is one of our Banana Byte series- which are short, bi-weekly segments we run live on LinkedIn and Twitter, where we discuss the latest headlines and topics in the data science space. Be sure to tune in for our next live session, or check this one out on Linkedin, and stay-up-to-data with the Banana Data Podcast!
In English Please: Part 1
 
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 distilled into easy to understand concepts. Think of this as your data science encyclopedia. Here is part 1 of the two part series on “In English Please."
 
 
Be sure to subscribe to our weekly newsletter to get this podcast & a host of new and exciting data-happenings in your inbox!
In English Please: Part 2
 

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 distilled into easy to understand concepts. Think of this as your data science encyclopedia. Here is part 1 of the two part series on “In English Please."

Check out our In English Please Glossary!

Be sure to subscribe to our weekly newsletter to get this podcast & a host of new and exciting data-happenings in your inbox!