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#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 Mai 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 Mai 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 Mar 202342min
2#12 - Alexandra Gunderson & Sheri Shamlou - A Quest for Diversity - Women in Data Science (Eng)
«The real value in changing the status quo and getting more women to the forefront, is by having women share about the important work that they do, and not just talk about their gender as a topic.» This episode was recorded right before Christmas, when I had the pleasure to chat with Alexandra Gunderson and Sheri Shamlou. Alexandra inspired by a Women in Data dinner in New York, took it upon her to find likeminded people in Norway. That is how she came across Women in Data Science, the confer...
13 Mar 202348min
2#11 - Karin Håkansson - Data Governance in a Mesh (Eng)
«Data Mesh promises so much, so of course everyone is talking about it.» I had the pleasure to chat with Karin Håkansson about Data Governance in a Mesh. Karin has worked with Data Governance and Data Mesh and is really active in the Data Mesh Community, speaking at podcasts and moderating the LinkedIn Group «Data Governance - Data Mesh» Here are my key takeaways from our conversation: Data in Retail The culture in retail is about innovation, experimentation, new products. So governance has t...
20 Feb 202342min
2#10 - Mozhgan Tavakolifard - Knowledge Graph enabled Data Mesh (Eng)
«If we think of Data Mesh as an evolution of data lakes, knowledge graphs are an evolution of Master Data Management.» Data overload is becoming a real challenge for all types of businesses. With all data that is gathered, both in multiple formats and huge volumes, has created a need for connected, contextualized data. Combined with continuing developments in AI, has resulted in increasing interest in knowledge graphs as a means to generate context-based insights. I had a fantastic chat with ...
30 Jan 202346min
