Data Crunch

Data Crunch

datacrunchcorp.com/podcast
The data podcast for CEOs, founders, and innovators


Social Media and Machine Learning
Nov 20 • 22 min
How do you build a comprehensive view of a topic on social media? Jordan Breslauer would say you let a machine learning tool scan the social sphere and add information as conversations evolve, with help from humans in the loop.
Deep Learning, Microwaves, and Bugs
Nov 7 • 18 min
Sometimes AI and deep learning are not only overkill, but also a subpar solution. Learn when to use them and when not. Diego from Northwestern’s Deep Learning Institute discusses practical AI and deep learning in industry. He covers insights on how to…
Potential Advantages of Blockchain for Data Scientists
Oct 22 • 25 min
Luciano Pesci is bullish on blockchain and data science. Since blockchain offers a complete historical record, no one can delete or alter prior information written into the record. He sees this characteristic as a massive advantage for data scientists.
How to Predict World Events with Predata
Oct 9 • 16 min
There have been some spectacular fails when it comes to looking at Internet traffic, think Google Flu Trends; however, Predata, a company that helps people understand global events and market moves by interpreting signals in Internet traffic, has honed…
Structuring Your Data Science Dream Team
Sep 26 • 15 min
The way you organize your data science team will greatly affect your business’s outcome. This episode discusses different structures for a data science team, as well as top down versus bottom up approaches, how to get data science solutions into…
The Hidden World of Data Science in Utilities
Sep 18 • 19 min
David Millar is a man bringing analytical solutions to an industry that historically has had little data. But with the explosion of smart devices, that is all changing, and the way utilities operate is as well.
The Good Fight against Shadow IT
Sep 11 • 22 min
Simeon Schwarz has been walking the data management tightrope for years. In this episode, he helps us see the hidden organizational and economic impacts that come from leading a data management initiative, and how to understand and overcome the inertia,…
Using Data to Design Tests People Don’t Hate
Sep 3 • 18 min
David Saben is on a mission to make taking tests less painful, and he’s using data to do it. In this episode, he’ll discuss reviving methods developed in 1979 to shorten tests and make them more effective, as well as how to use psychometrics to aid in the…
Activating Analytics in Business and Government
Aug 27 • 13 min
Todd Jones talks to us about how to activate analytics and data science in both commercial and government settings by solving some of the most common problems he sees across organizations.
Last-Mile Logistics Analytics—for Everyone Who Isn’t Amazon
Aug 20 • 23 min
Today we speak with Professor Ram Bala, an expert in supply chain management analytics, particularly last-mile delivery. He has very interesting insights into how today’s supply chain is evolving. He talks about various methods and algorithms he uses, the…
Running a Successful Machine Learning Startup
Aug 9 • 26 min
Today, our guest, Alain Briancon, will talk to us about how to work with Fortune 500 companies and help them get quick value from their data, how to build a roadmap of incremental value during the data collection and analysis process, how they help…
Executive Panel: How Can Data Science, ML, and AI Best Support Executive Goals
Jul 26 • 43 min
Today is a special episode. We welcome three executive guests from different organizations to share their experiences and insights about how data science can best support executive goals.
The Biggest Pitfalls of New Analytical Initiatives
Jul 19 • 27 min
Our guest Andrzej Wolosewicz has had years of experience helping companies define and build machine learning and analytical solutions that have a measurable impact on the business, and he shares with us his experience and expertise. He shares with us the…
Digital Credentials and Machine Learning Aim to Change How You Hire
Jul 11 • 19 min
Today we’re going to see how a clever idea and the skillful use of data is starting to disrupt how people get credentials. The use case here has the potential to remove gender and racial bias in the hiring process, help companies understand specific…
How to Win Hearts and Minds as a Data Leader
Jun 28 • 21 min
Joe Kleinhenz talks about his journey from starting out in data all the way to becoming a leader in one of the largest insurance organizations in the United States. We’ll learn about the importance of staying on top of technology, how to win hearts and…
Building Data Products that Work in the Health and Wellness Industry
May 31 • 19 min
Our guest today holds a PhD in organizational psychology and has been working on data products in the health and wellness space for over a decade. We cover a lot of ground in this interview: how to create data products that work, how to avoid the…
The Road to a Data-Driven Culture in Your Organization
Apr 30 • 24 min
How do you whittle the murky business of creating a data-driven culture down to a proven process? Today we talk to a guest who has done this time and time again, helping companies transform their operations. He points out the small nuances and details…
Statistics Done Wrong—A Woeful Podcast Episode
Mar 26 • 21 min
Statistics are misused and abused, sometimes even unintentionally, in both scientific and business settings. Alex Reinhart, author of the book “Statistics Done Wrong: The Woefully Complete Guide” talks about the most common errors people make when trying…
Getting into Data Science
Feb 28 • 22 min
What does it take to become a data scientist? We speak with three people who have become data scientists in the last three years and find out what it takes, in their opinions, to land a data science job and to be prepared for a career in the field.…
Automated Machine Learning with TransmogrifAI
Jan 31 • 12 min
Would you rather take a year to develop a proprietary algorithm for your company that has an accuracy of 95% or use an open source platform that takes a day to develop an algorithm that has nearly the same accuracy? In most business cases, you’d choose…
The Data Scientist’s Journey with Nic Ryan
Dec 28, 2018 • 19 min
What does it take to become a data scientist? Nic Ryan has been in the field for over a decade and answered thousands of questions from people looking to get into the field. In this episode, he talks about his journey into data science and his…
Cutting-Edge Computational Chemistry Enabled by Deep Learning
Nov 27, 2018 • 17 min
Machine learning is becoming a bigger part of chemistry as of the last two or three years. Industries need to have people trained in both fields, and it’s taken time for them to make their way into this sector. Olexandr Isayev is at the forefront of that…
Python and the Open Source Community
Oct 24, 2018 • 24 min
Python versus R. It’s a heated debate. We won’t solve this raging controversy today, but we will peek into the history of Python, particularly in the open source community surrounding it, and see how it came to be what it is today—a well used and flexible…
Machine Learning, Big Data, and Your Family History
Sep 26, 2018 • 21 min
How can artificial intelligence, machine learning, and deep learning benefit your family? These technologies are moving into every field, industry, and hobby, including what some say is the United State’s second most popular hobby, family history. Today,…
Machine Learning Takes on Diabetes
Aug 31, 2018 • 17 min
When Bryan Mazlish’s son was diagnosed with Type I diabetes, there were unexpected challenges. Managing diabetes on a day-to-day basis was tough, so he hacked into his son’s insulin pump and continuous glucose monitor to create the world’s first…
Digital Twins, the Internet of Things, and Machine Learning
Jul 31, 2018 • 21 min
In a world where so many things are Internet connected, how is machine learning playing a role? Bruce Sinclair speaks with us about the intersection of IoT, AI/ML, and the digital twin. Bruce: Where AI, and in particular machine learning, and then in…
Building a Machine Learning Company that Decodes Web Analytics, with Per Damgaard
Jun 28, 2018 • 15 min
The most important thing is to have an AI-enable infrastructure. It sounds very boring, but that was the learning that I got from the bank as well. It’s actually very easy for us to build the model, but what took a long time was to have the AI…
Why DataOps Matter
Jun 12, 2018 • 16 min
If you’re building a data product, these questions are likely occupying your mind: how do you get your customers to trust your data? How do you know your product’s something your customers will want? How do you produce those products more quickly without…
Drones and AI
May 19, 2018 • 19 min
We are joined by the host of podcast Commercial Drones FM, Ian Smith, who gives us a fascinating understanding of how drones are being used today and in the future. From petri-dish wielding drones that follow whales, to miniature drones working in…
Travel AI with Pana
Apr 29, 2018 • 14 min
Travel’s an interesting industry because it’s inherently global which makes it inherently complex, and it’s so behind other industries when it comes to innovative and advanced technology being applied. A great example of that is when you buy a ticket on…
The Patent Law Land Grab
Mar 27, 2018 • 19 min
Before the airplane was invented, some people were concerned that everything that could be invented had been invented. Obviously, that was not the case then, and it’s certainly not the case now. So as you create novel inventions, how do you protect them?…
Exposing World Corruption with a Unique Dataset
Feb 21, 2018 • 16 min
Transparency International started when a rebellious World Bank employee quit to dedicated himself to exposing corruption. Now the organization claims the media’s attention for about one week a year when it publishes its annual Corruption Perceptions…
Data Science Reveals When Donald Trump Isn’t Donald Trump
Jan 19, 2018 • 15 min
Few things are as controversial in these perilous times as Donald Trump’s Twitter account, often laced with derogatory language, hateful invective, and fifth-grade name-calling. But not all of Trump’s tweets sound like they came straight out of a…
No PhD Necessary
Dec 19, 2017 • 13 min
The ubiquity of and demand for data has increased the need for better data tools, and as the tools get better and better, they ease the entry into data work. In turn, as more people enjoy the ease of use, data literacy becomes the norm. Ginette: “I’m…
How to Succeed at IoT—Amid Increasing Complexity
Nov 16, 2017 • 17 min
The growth of the Internet of Things, or IoT, is often compared with the industrial revolution. A completely new phase of existence. But what does it take to be part of this revolution by building an IoT product? It’s complex, and Daniel Elizalde gives us…
After Disaster Strikes: Data in Disaster Recovery
Oct 18, 2017 • 26 min
We’ve seen photos of disasters depicting fearful and fleeing victims, ravaged properties, and despondent survivors. In this episode, we explore two ways data can help survivors heal and how data also tells their stories. For the full episode, listen by…
The Complex World of Data Scientists and Black-Box Algorithms
Sep 18, 2017 • 25 min
Hilary Mason is a huge name in the data science space, and she has an extensive understanding of what’s happening in this space. Today, she answers these questions for us: * What are the backgrounds of your typical data scientists? * What are key…
Deep Learning—A Powerful Tool, with a Name that Means Nothing
Aug 9, 2017 • 16 min
Tesla isn’t the only car brand in the world producing or aiming to produce self-driving cars. Every single car brand is working on developing self-driving cars. But what does this mean for our future? We talk about this and other interesting deep learning…
When Song Lyrics and British Lit Meet Tidy Text
Jul 15, 2017 • 17 min
When Julia Silge’s personal interests meet her professional proficiencies, she discovers new meaning in Jane Austen’s literature, and she gauges the cultural influence of locations in pop songs. Even more impressive than these finds, though, is that she…
How Data Is Eradicating Malaria in Zambia
Jun 10, 2017 • 17 min
According to the CDC, people have been writing descriptions of malaria—or a disease strikingly similar to it—for over 4,000 years. How is data helping Zambian officials eradicate these parasites? Tableau Foundation’s Neal Myrick opens the story to us.…
How Artificial Intelligence Might Change Your World
May 27, 2017 • 20 min
What does the creation of new artificial intelligence products look like today, and what do experts in this field foresee realistically happening in the near future? One thing’s for sure, the way we work and function in life will change as a result of…
Preventing a Honeybee Fallout
May 13, 2017 • 17 min
What would the world look like without honeybees? In theory, if there were no honeybees, it could drastically change our lives. Bjorn Lagerman, though, never wants to know the actual answer to that question. but the honeybees current worst foe, Varroa…
When a Picture Is Worth a Life
Apr 29, 2017 • 25 min
What if you found out your infant had eye cancer? That news would rock anyone’s world. But what if you had a tool that helped you catch it early enough that your baby didn’t have to lose his or her eye and didn’t have to go through chemo? You’d probably…
How Many Slaves Work for You?
Apr 14, 2017 • 20 min
If someone came up to you and randomly asked you, “How many slaves work for you?” maybe you’d think, “Slavery ended a long time ago, Bro.” Or maybe you would take the question seriously. With 20 million to 46 million people enslaved in the world, it is a…
Predicting the Unpredictable
Apr 1, 2017 • 21 min
We now know black swans exist, but Europeans once believed that spying one of their kind would be like stumbling across a unicorn in the woods—impossible. Then, Willem de Vlamingh spotted black swans in Australia, and this black bird, which once…
The Golden Age of Data Science
Mar 18, 2017 • 25 min
How did one boy’s stuffed yellow elephant permanently intertwine itself in history? What is a data scientist? Why is right now the golden age for data science? We take a crack at all three of these questions—the second two, with the help of Gregory…
The Curated History of Data Science, Part 3
Mar 1, 2017 • 19 min
From a small building in Pennsylvania to widespread usage across the world, we track the compelling story of one of the greatest technological innovations in history, setting the stage for the age of data science. Ginette: “I’m Ginette.” Curtis: “And I’m…
The Curated History of Data Science, Part 2
Feb 16, 2017 • 22 min
She isn’t your typical English girl from the early 1800s. She’s a girl who, because of her fortunate and unfortunate family circumstances, ends up perfectly situated to become part of something that will revolutionize the world. Ginette: “For many…
Eyes on the Pirates, Part 2
Jan 31, 2017 • 21 min
Pirates in folk stories and popular movies conjure up strong imagery: eye patches, Jolly Rogers, parrots, swashbuckling, scruffy voices that say “Aye, Matey.” But what do the lives of successful pirates look like today? And what’s being done to stop them…
Eyes on the Pirates, Part 1
Jan 12, 2017 • 30 min
The history books teach that slavery ended, but it still exists; it’s just morphed its form—different commodity, different location, but same abuses. The commodity is seafood. The location, Southeast Asia. The abuses, forced servitude with all its ugly…
The Curated History of Data Science, Part 1
Dec 9, 2016 • 12 min
Who were the people pushing the limits of their time and circumstances to bring us what we know today as data science? We examine what motivated them to do their important work and how they laid the foundations for our modern world where algorithms and…
The Predictive Power of Waffles
Nov 18, 2016 • 18 min
When breakfast food takes on hurricanes, who wins? For another interesting take on the Waffle House Index, see this article the Fivethirtyeight blog, which they posted December 6, 2016. Curtis: “I love waffles. I fill up each of the little squares with…
I Had to Run
Nov 1, 2016 • 22 min
Imagine you have to leave your home immediately, and you have little time to grab anything to take with you. You don’t know where you are going—you just know you have to flee for your life. Many people face a similar situation—one in every 113 people on…
Take It Back
Oct 13, 2016 • 11 min
What if one day, out of the blue, you find yourself sick—really sick—and no one knows what’s wrong. This is a podcast about a sleeper illness and what one team of data scientists led by Elaine Nsoesie is doing to reduce its reach. Sam Williamson: “It felt…