Somewhat Overfitting - Data Science & Digital Transformation

Jonas Vitt
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In this podcast, Jonas Vitt is talking with data professionals and scholars about how they are using data and data science in their day to day work. The goal is to give professionals ideas on how to manage and utilize their data in the best way possible.

Episodes

  1. 03/24/2021

    Episode 9: Moritz Schuster - AI in the Innovation Process

    AI can be used in many areas. From finding the best search results based on a keyword over recommending the next movie to watch to driver-less vehicles. This Episode discusses if and how AI can help in each step of the innovation process. Show Notes: somewhatoverfitting.com/episode9

    37 min

  2. 02/09/2021

    Episode 8: Albert Pusch - Being Data Driven as a Manager

    In his managing role Albert is not only trying to make his team data-driven, he also mainly uses a tool most likely everyone used before: Microsoft Excel. Show Notes: somewhatoverfitting.com/episode8

    35 min

  3. 10/07/2020

    Episode 7: Angela-Sophia Gebert – What is Process Mining

    In this conversation, Angela and Jonas dug deeper into what process mining is, where it can be applied, and how Celonis' Product is supporting Process Mining. They also discussed some of the challenges and the future of Process Mining. Show Notes: somewhatoverfitting.com/episode7

    25 min

  4. 09/03/2020

    Episode 6: Matt Hilburn - Marketing Research and Data Analytics

    Matt and Jonas discussed where Marketing Research fits into the Data Science field and how it differs from Market Research. They talked about how the EDCUtah uses Surveys, Focus Groups, and one-on-one interviews for their research. Matt also gave some tips for students and companies on how to start with Data Science. Show Notes: somewhatoverfitting.com/episode6

    44 min

  5. 08/05/2020

    Episode 5: Andrea Rorrer and Matthew Pecsok - Data Science at the Utah Education Policy Center

    Andrea, Matt, and Jonas talked about how the UEPC uses data and how it is used to optimize education programs. As a lot of their data is collected offline, we also talked about their problems in the data collection problems. In the end, we talked about using data when planning a curriculum and privacy in education. Show Notes: somewhatoverfitting.com/episode5

    45 min

  6. 07/04/2020

    Episode 4: Solo Cast - What is Data Literacy?

    In this episode, Jonas is trying something new. Instead of talking to a data professional, he will talk about one topic he researched. Jonas tackles the question of what Data Literacy is, why it is essential, and how to become more data literate. The resources quoted can be found in the show notes. Show Notes: somewhatoverfitting.com/episode4

    11 min

  7. 06/17/2020

    Episode 3: Thomas Gubbay - Data Analytics at Deloitte

    Thomas and Jonas talked about how his team at Deloitte is set up and how their workflow goes. Thomas also described the outcome his team is generating for their clients. Finally, we discussed how Deloitte is embracing the use of data with their clients, and Thomas' team is measuring the value created through their projects. Show Notes: somewhatoverfitting.com/episode3

    24 min

  8. 06/17/2020

    Episode 2: Jetta Hansen - Data Analytics at Nav Inc.

    Jetta and Jonas talked about how the Data Team at Nav Inc. operates and about Jetta's experiences starting ou in Data Analytics. Show Notes: somewhatoverfitting.com/episode2

    22 min

  9. 06/16/2020

    Episode 1: Adam Whalen - Data Analytics in an Advertising Agency

    Adam Whalen is a Data Analyst at Love Communications. He and Jonas talked about how he started in data science, how Love Communications uses data, and what he thinks about algorithms in marketing. We also discussed, how he embraces the use of data at the agency and how he shows the value of his work. Show Notes: somewhatoverfitting.com/episode1

    25 min
  • 9 Episodes

About

In this podcast, Jonas Vitt is talking with data professionals and scholars about how they are using data and data science in their day to day work. The goal is to give professionals ideas on how to manage and utilize their data in the best way possible.

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