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