
3#6 - Ieva Martinkenaite - Responsible AI: Ethical Governance and Positive Social Impact (Eng)
«A combination of strong buy in from top-management and strong flow of change agents (…) is a requirement for succeeding.» Eager to unlock the secrets behind building a trustful relationship with AI systems? I am sitting down with Ieva Martinkenaite, head of Telenor's Research and Innovation department to shed light on the interplay of accountability, ethics and AI technology. Through her role as translator between tech, leadership and business , Ieva brings a refreshing vantage point to the...
13 Nov 202349min

3#5 - Alex Moltzau - Norway & AI (Eng)
«How well are we rigged in Norway to handle this?» What a fantastic talk - With so much happening in Norway in autumn 2023, I brought on Alex Moltzau for a chat in AI policy and Norway. Alex Moltzau is a Senior Policy Advisor at the Norwegian Artificial Intelligence Consortium (Nora.ai), and one of the most outspoken experts on AI policy and ethics in Norway. Throughout the last years, there has been a significant change in public attention to AI, even though AI has been part of our li...
23 Okt 202347min

3#4 - Anders Dræge - AI-driven Process Automation (Nor)
«I think that having a very good framework, where you can put all ML and AI in, makes it much easier, much more clear. (Jeg tror det å ha et veldig bra rammeverk, der du kan putte all ML og AI inn i, det gjør at du får det mye lettere, mye mer oversiktlig.)» Frende Forsikring, a Norwegian Insurance Company has build up a team of 6 people that work with Machine Learning (ML) and Artificial Intelligence in the company. Their goal is to ensure the companies growth through automation. Anders Dræ...
10 Okt 202337min

3#3 - Lars Albertsson - Data Management as Code (Eng)
«There should be very little reason to say: Hey, I need a human to look these operational things for me. They are all defined as code.» Lars Albertsson has a long career in Data and Software Engineering, including Google and Spotify. Lars is on a mission to spread the superpowers of working with data, with the vision to: «Enable companies outside of the absolute technical elite to work with data with the same efficiency or effectiveness as the technical elite companies in an industrial manne...
25 Sep 202355min

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 that enables food businesses to sell their surplus food instead of throwing it in the bin. We talked about how to form a product team, and how to rethink the role of Data Scientists in your team, shape it in an embedded team, close to domains and with expertise and customer focus. We talked abou...
4 Sep 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 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 Jun 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 Jun 202337min