All Episodes

Podcast

Deep Learning, Microwaves, and Bugs

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 train models well, the difference between textbook and real AI problems, and the problem of multiple explanations. Diego Klabjan: One aspect of the problem it has to have
Podcast

Potential Advantages of Blockchain for Data Scientists

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.  Luciano Pesci: And the key for data scientists and leaders who are gonna oversee data sciences, you’ve got to get a narrow enough problem to demonstrate one quick win and I
Podcast

How to Predict World Events with Predata

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 human-in-the-loop machine learning to get to the bottom of geopolitical risk and price movement. Predata uncovers predictive behavior by applying machine learning techniques to online activity. The company has built the
Podcast

Structuring Your Data Science Dream Team

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 production organically, and how to be part of the business while remaining in contact with other data scientists on the team. Mark Lowe: Having lived through small scale, two people
Podcast

The Hidden World of Data Science in Utilities

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. David Millar: The way that electricity markets work is that you have what’s called the day ahead market. And so the day before, let’s say one o’clock tomorrow, markets run, and this is a big optimization
Podcast

The Good Fight against Shadow IT

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, fears, and status quo that hold good data management back. Simeon Schwarz: Fighting against shadow IT . . . you have to find a way to adopt it, you have
Podcast

Using Data to Design Tests People Don’t Hate

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 design and crafting of an effective test. David Saben: When I see my son who’s 11 years old, spending three days and
Podcast

Activating Analytics in Business and Government

Todd Jones: My name is Todd Jones. I’m the chief analytics officer here at WebbMason analytics. We are a professional services firm helping our clients accelerate their analytic evolution. So I think my journey started about 10 years ago. Uh, I graduated from Princeton with a degree in operations research and financial engineering. So I could have basically taken f two paths. One, I could have went into the financial
Podcast

Last-Mile Logistics Analytics—for Everyone Who Isn’t Amazon

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 specific challenges inherent in doing last mile logistics and deliver, how pricing factors in, and how everyone is trying to catch up to Amazon. Ram Bala: Then there is this great
Podcast

Running a Successful Machine Learning Startup

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 predict and incentivize customer purchases, and how to dial in on an idea for successful data science software companies. Alain Briancon: Adding one more question to