Dapper Data
A podcast by Dapper Data
Categories:
97 Episodes
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Let the User's Voice Guide you - Episode #57 w/ Matt Young
Published: 5/8/2022 -
Design Psychology & Data Visualization - Episode #56 w/ Thomas Watkins
Published: 4/29/2022 -
ROI Driven Marketing - Episode #55 w/ Mary Cate Spires
Published: 4/13/2022 -
DataKitchen and Dev Ops - Episode #54 w/ Chris Bergh
Published: 3/23/2022 -
Data Fluency and Education - Episode #53 w/ Kevin Hanegan
Published: 3/17/2022 -
Data Visualization and Storytelling - Episode #52 w/ Lee Feinberg
Published: 2/21/2022 -
Measuring Cough as Clinical Evidence - Episode #51 w/ Joe brew
Published: 1/27/2022 -
Data Integrity for Your Business - Episode #50 w/ Verl Allen
Published: 1/6/2022 -
Realizing the Full Potential of Their Data - Episode #49 w/ Douwe Maan
Published: 1/2/2022 -
AI, Neuroscience and Continual Learning - Episode #48 w/ Keiland Cooper
Published: 12/3/2021 -
Data Integration from Multiple Sources - Episode #47 w/ Michel Tricot
Published: 11/26/2021 -
Data Driven Digital Marketing - Episode #46 w/ Wendell Jordan
Published: 11/19/2021 -
AI vs Human Intelligence - Episode #45 w/ Mark Kerzner
Published: 11/15/2021 -
The Value of AI in Education, Religion and STEM - Episode #44 w/ Slater Victoroff (Part II)
Published: 11/5/2021 -
The Value of AI in Education, Religion and STEM from a CTO's Perspective - Episode #43 w/ Slater Victoroff (Part I)
Published: 11/5/2021 -
A Data-Driven Entrepreneurial Mindset - Episode #42 w/ Alex Sanfilippo
Published: 9/29/2021 -
Data-Driven Decision Making from a CEO's Perspective - Episode #41 w/ Larry Fisher
Published: 7/13/2021 -
Deep Learning with Audio Data and Audio Data Analysis - Episode #40 w/ Graham Brown
Published: 7/7/2021 -
The Deepfakes and Hard Truths - Episode #39 w/ Dr. Ilke Demir
Published: 6/23/2021 -
The Next Gen Data Scientist - Episode #38 w/ Lexi Vessels
Published: 5/13/2021
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.