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 DAMA-focused episode. Nino Letteriello is one of Europes most influential data leaders, president of DAMA Italy and Coordinator for the DAMA EMEA region (Europe, Middle East, Africa). Nino started his carrier in project management, educated in civil engineering, and got involved in Data Management...
14 Aug 202346min
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 Shipping, about a concrete examples for success through digitalization and mainly about the focus on Product Management. Ida works as Principle Product Manager at Omny. At the time of recording Ida was part of Klaveness Digital and is presenting from her perspective from her work there. She starte...
19 Juni 202347min
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 Storage and Operations as a knowledge area in DMBok. A topic that is often viewed as basic, often not in focus, but is a fundamental part of data operations. I talked to Nicolai Jørgensen at NMBU - Norwegian University of Life Sciences. Nicolai has a really diverse background. His journey in data ...
19 Juni 202337min
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 system på dette her?») We finish season 2 with a though-provoking episode, to maybe start som debate about data-driven public administration. Lisa Reutter is PostDoc at the University of Copenhagen connected to a project called: «Datafied Living». We talk about the importance of Social Science in...
19 Juni 202342min
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 stable career path. So I brought in an expert on developing companies and building legacies. Pedram Birounvand has a background in quantum physics, data engineering, experience from Spotify and moved into private Equity 6 years ago. Now Pedram started a new chapter in his career as the CEO of a s...
29 Maj 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 the Business impact of Data Ethics. Here are my key take aways: If were track, collect, and keep all data for any random opportunistic purpose, we put your companies at risk.This includes a «commercial curse» of budget-heavy tracking and budget-light management and business value creation through ...
8 Maj 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 historical patterns on those things, not change. How do those go together? I had a fantastic chat with Celine Xu, who is Head Data Scientist at H&M Group, with a mixed background from Applied Mathematics and Business (MBA). Here are my key takeaways: Three things Data can achieve: Automation o...
17 Apr 202346min
2#13 - Xiaopeng Li - The Path to MLOps (Eng)
«MLOps is a set of practices that bring people, process and platform together into a stream-aligned process to manage End-2-End Machine Learning lifecycles.» MLOps is taken about a lot, so I asked an expert what we are actually talking about. Xiaopeng Li is AI business lead at Microsoft for the Western European market, located in Oslo. Xiaopeng is a passionate influencer in the field of Data and AI/ML, who was nominated as AI influencer of the Year at last years DAIR-awards in Stockholm. Here...
27 Mars 202342min
