97 Folgen

  1. Let the User's Voice Guide you - Episode #57 w/ Matt Young

    Vom: 8.5.2022
  2. Design Psychology & Data Visualization - Episode #56 w/ Thomas Watkins

    Vom: 29.4.2022
  3. ROI Driven Marketing - Episode #55 w/ Mary Cate Spires

    Vom: 13.4.2022
  4. DataKitchen and Dev Ops - Episode #54 w/ Chris Bergh

    Vom: 23.3.2022
  5. Data Fluency and Education - Episode #53 w/ Kevin Hanegan

    Vom: 17.3.2022
  6. Data Visualization and Storytelling - Episode #52 w/ Lee Feinberg

    Vom: 21.2.2022
  7. Measuring Cough as Clinical Evidence - Episode #51 w/ Joe brew

    Vom: 27.1.2022
  8. Data Integrity for Your Business - Episode #50 w/ Verl Allen

    Vom: 6.1.2022
  9. Realizing the Full Potential of Their Data - Episode #49 w/ Douwe Maan

    Vom: 2.1.2022
  10. AI, Neuroscience and Continual Learning - Episode #48 w/ Keiland Cooper

    Vom: 3.12.2021
  11. Data Integration from Multiple Sources - Episode #47 w/ Michel Tricot

    Vom: 26.11.2021
  12. Data Driven Digital Marketing - Episode #46 w/ Wendell Jordan

    Vom: 19.11.2021
  13. AI vs Human Intelligence - Episode #45 w/ Mark Kerzner

    Vom: 15.11.2021
  14. The Value of AI in Education, Religion and STEM - Episode #44 w/ Slater Victoroff (Part II)

    Vom: 5.11.2021
  15. The Value of AI in Education, Religion and STEM from a CTO's Perspective - Episode #43 w/ Slater Victoroff (Part I)

    Vom: 5.11.2021
  16. A Data-Driven Entrepreneurial Mindset - Episode #42 w/ Alex Sanfilippo

    Vom: 29.9.2021
  17. Data-Driven Decision Making from a CEO's Perspective - Episode #41 w/ Larry Fisher

    Vom: 13.7.2021
  18. Deep Learning with Audio Data and Audio Data Analysis - Episode #40 w/ Graham Brown

    Vom: 7.7.2021
  19. The Deepfakes and Hard Truths - Episode #39 w/ Dr. Ilke Demir

    Vom: 23.6.2021
  20. The Next Gen Data Scientist - Episode #38 w/ Lexi Vessels

    Vom: 13.5.2021

3 / 5

This podcast provides knowledge sharing for data-driven listeners interested in understanding how data impacts the world in many ways . There are so many aspects to data (i.e. programming, statistics, machine learning, artificial intelligence, data visualizations, and more), but there is also the everyday data side (i.e. social media, money, sex, love, diseases, sports and more). I am touching on each and every one of them in a Dapper kind of way.

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