Dapper Data
En podcast af Dapper Data
Kategorier:
97 Episoder
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You Better Back that Data Up!! - Episode #77 w/Mr. Backup -Part 2
Udgivet: 13.1.2023 -
You Better Back that Data Up!! - Episode #76 w/Mr. Backup -Part 1
Udgivet: 13.1.2023 -
Pricing Strategies Using Data - Episode #75 w/Per Sjöfors
Udgivet: 13.1.2023 -
Artificial Intelligence and Science Fiction- Episode #74 w/Andrew Gillsmith
Udgivet: 15.11.2022 -
Data Democratization and Data Mesh- Episode #73 w/Rama Ryali
Udgivet: 14.11.2022 -
SEO Optimization and Maximizing Profits - Episode #72 w/Brandon Leibowitz
Udgivet: 14.11.2022 -
Business Analytics and No-Code - Episode #71 w/Tarush Aggarwal
Udgivet: 14.11.2022 -
Geospatial Data - Episode #70 w/Oleksandr Dzhevaga
Udgivet: 12.11.2022 -
Increased Profits and Operational Management - Episode #69 w/Tommy Yionoulis
Udgivet: 7.11.2022 -
No Code Solutions and Data Management - Episode #68 w/Jon Darbyshire
Udgivet: 4.11.2022 -
Master Data Management and Data Governance - Episode #67 w/Malcolm Hawker
Udgivet: 2.11.2022 -
Data, Geospatial and Anlytics Engineering - Episode #66 w/Gopal Erinjippurath
Udgivet: 23.10.2022 -
Data Used in Ad Engineering - episode #65 w/Andrew Yates
Udgivet: 17.10.2022 -
You better clean and prep that data or else !!! - episode #64 w/Ahmed Elsamadisi
Udgivet: 30.9.2022 -
Utilizing Data for your Target Market - Episode #63 w/Tim Fitzpatrick
Udgivet: 24.8.2022 -
Solving Critical Problems with AI - Episode #62 w/Leon Kuperman
Udgivet: 20.8.2022 -
Data Driven Serial Entrepreneurship - Episode #61 w/Tim Branyan
Udgivet: 31.7.2022 -
Central Data Management & Unstructured Data - Episode #60 w/Kirk Marple
Udgivet: 15.7.2022 -
Connecting the Dots with Artificial Intelligence- Episode #59 w/Dr. Eric Daimler
Udgivet: 9.6.2022 -
What's in Your CrytoWallet- Episode #58 w/Vanina Ivanova
Udgivet: 13.5.2022
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.