Data Driven
Data Driven
Data Driven: the podcast where we explore the emerging field of Data Science. We bring the best minds in Data, Software Engineering, Machine Learning, and Artificial Intelligence right to you every Tuesday.
The field of data science mashes up the worlds of statistics, database architecture and software engineering. Data Scientist has been labelled by the Harvard Business Review, as "the sexiest job of the 21st century." A quick search of job search sites reveal that this field is in high demand.
In a world where Data is the new Oil, Data Science the new Refineries, consider this Car Talk for the Data Age. Every week we bring the best minds in this emerging field straight to you. Our goal is to educate and inspire our listeners so that they can be prepared to thrive in a Data Driven world.
The field of data science mashes up the worlds of statistics, database architecture and software engineering. Data Scientist has been labelled by the Harvard Business Review, as "the sexiest job of the 21st century." A quick search of job search sites reveal that this field is in high demand.
In a world where Data is the new Oil, Data Science the new Refineries, consider this Car Talk for the Data Age. Every week we bring the best minds in this emerging field straight to you. Our goal is to educate and inspire our listeners so that they can be prepared to thrive in a Data Driven world.
Episodes
Mentioned books
Jul 22, 2019 • 2min
*DataPoint* Season 3 is Coming
In this DataPoint, Andy teases some details on Data Driven Season 3, which is set to launch Tuesday, July 23rd along with another special project that we’ve been working on.
Jul 19, 2019 • 5min
*DataPoint* Amazon to Retrain Its Employees. Why That’s Big Deal.
Recently, Amazon announced that it will spend $700 Million (USD) to retrain its employees. Why are they doing this? Simple: automation. They know that a displaced workforce would be bad political mojo at a time when the giant is facing increasing calls for regulation, even potential anti-trust action.
Anti-trust laws in the US were made largely in reaction to the Standard Oil Company and its founder John D. Rockefeller.
In this DataPoint, Frank notes how Jeff Bezos just may be the Rockefeller of our day.
Jun 15, 2019 • 14min
*DataPoint* Frank and Andy in the Same Place, Big Plans for Season 3, and is Frank the Forrest Gump of Data Science
Frank and Andy are in the same place for the first time in a while, so they meet up to plan season 3 of Data Driven.
Jun 11, 2019 • 2min
*DataPoint* Knowledge Mining Open Hack
I’m at an OpenHack today learning about Knowledge Mining.
Jun 5, 2019 • 3min
*DataPoint* Celebrating 2 Years of Data Driven
In this Data Point, Frank marks the two year anniversary of Data Driven’s launch and talks about the future.
May 22, 2019 • 2min
*DataPoint* What If We Lie to the Machines?
In this Data Point, Andy ponders the ethics of lying to the machines, how that adds bias, and what the consequences may be.
May 21, 2019 • 3min
*DataPoint* Retooling Workers and Getting Ready for Lifelong Learning
In this Data Point, Andy discusses our recent interview with Anders Schneiderman, What’s it going to take for neglected communities to come back to life? How are workers going to be retooled? What’s the practical application here?
May 9, 2019 • 1h 8min
Anders Schneiderman on Why We Need to Prepare Communities for the Future of Work
In this episode, Frank and Andy talk to Anders Schneiderman (LinkedIn), founder of Makers All and author of a report titled How to Help Communities Transform Emerging Tech So They Can Shape Their Destinies.
Apr 10, 2019 • 31sec
*DataPoint* Medical Data Engineering
Quick DataPoint today to make you aware that Kent Bradshaw – a data scientist who works with me at Enterprise Data & Analytics – and I are delivering a free webinar titled Loading Medical Data with SSIS Wednesday 17 Apr 2019 at [12:00] PM EDT.
Apr 5, 2019 • 7min
*DataPoint* Chatbot Workshop
In this Data Point, Frank talks about a new offering: the Chatbot Workshop as well as his journey from bot-skeptic to bot-evangelist.
Here’s the book I referenced in the DataPoint
