3#2 - Carl Johan Rising - Data Scientist Redesigned (Eng)
«How do you develop good procedures around testing or how do you drive experimentation in a product or business setting?» Carl Johan Rising works as Director of Data at Too Good To Go, a marketplace...
4 Syys 202332min
3#1 - Nino Letteriello - DAMA EMEA (Eng)
«We (DAMA) have a role to play, (…) develop the Data Management profession ultimately for the benefit of the society.» It is good to be back with Season 3 of MetaDAMA, and as always, we start with a D...
14 Elo 202346min
2#19 - Lisa Reutter - Datafication of Public Administration (Nor)
"It's about taking a step back to ask yourself: Should we even have a data-driven system for this?" («Det handler om å ta et steg tilbake for å spørre seg: Skal vi i det hele tatt ha et data-drevent s...
19 Kesä 202342min
2#18 - Nicolai Jørgensen - Scientific Data Management (Eng)
«How can we consolidate data and describe it in a standardized way?» Scientific Data management has some unique challenges, but also provides multiple learnings for other sectors. We focused on Data S...
19 Kesä 202337min
2#17 - Ida Haugland - Digital Product Management for the Future of Shipping & Logistics (Eng)
«Sometimes, you look at the problem and think it’s valuable, you spend a lot of time on it, and then you find out that this is really a NO!» Ida Haugland and I talked about the importance of Data in S...
19 Kesä 202347min
2#16 - Pedram Birounvand - Data Skills for the Future (Eng)
«When technology evolves really fast, also the skills you need to hire for evolve really fast.» Within a rapidly changing environment, fueled by technology and great ideas, it can be hard to define a ...
29 Touko 202344min
2#15 - Steen Rasmussen - The Business Impact of Data Ethics (Eng)
«Infants with guns!» Are we mature enough to track, collect and handle data responsibly, according to ethical standards? I talked with Director of Data Innovation at IIH Nordic Steen Rasmussen about t...
8 Touko 202343min
2#14 - Celine Xu - When ML meets Fashion (Eng)
«There is a fundamental conflict between the essence of fashion and Machine Learning.» Fashion is always about change, innovation and identity. Whilst ML is good at making predictions based on histor...
17 Huhti 202346min
