David Feldell is the Data Scientist & Analytics Lead at Babyshop Group, which is a leading European e-commerce company within children's fashion. 

In this episode, we discuss why it is more important to focus on and predict the customer lifetime value rather than sales. David explains how Babyshop works with product recommendations. We also talk about how he and his team go about when selecting which models to use for different use cases. These and many more topics are covered in this episode.

The episode was recorded right before the Summer.

Enjoy the episode!

#Data Science, #Artificial Intelligence, #Product Recommendation, #AI, #Machine Learning, #ML, #E-Commerce

Nima Ghorbani is the head of Analytics and AI at Swedbank, which is one of the biggest banks in the Nordics. 

In the episode, Nima tells us about his team of around 30 people, a majority of which have PhDs. He elaborates upon how they recruit and retain top talent in a time when there is a war for such talent. We also discuss how Swedbank uses AI and advanced analytics for fighting financial crime and for improving the credit decision process. Furthermore, Nima explains why they prefer MVPs over PoCs when it comes to AI and advanced analytics projects. These and many more topics are covered in this very exciting episode.

The episode was recorded right before the Summer.

Enjoy the episode!

#Automation, #Data Science, #Artificial Intelligence, #AI, #Machine Learning, #ML, #Banking, #Finance

Sonja Petrović Lundberg was the Chief Technology Officer at the medtech company Doctrin until August 2020 (when the episode was recorded) and is currently the Chief Product Officer at 29k.

The medtech company Doctrin was founded to radically improve healthcare using automation and intelligent digitization. In this episode, we discuss which parts of the patient journey that can be improved the most with the help of AI. Sonja gives her view on whether medical doctors need to worry about being replaced by AI algorithms. We also talk about user reported data that is very common within the health care industry, and the data quality issues that are related to such data. These and many more topics are covered in this episode.

 Enjoy the episode!

 #Medtech, #Healthcare, #Automation, #Data Science, #Artificial Intelligence, #AI, #Machine Learning, #ML

Mattias Fras is the Group Head of AI Strategy and Acceleration at Nordea.

 Nordea is the biggest bank in the Nordic countries. In this episode, we discuss the six areas in which Nordea is applying AI, how it is to be data-driven in a heavily regulated and rule-based sector and what the difference is between core innovation and edge innovation. Mattias also reveals what data a bank actually has access to and how he differentiates between the words AI, robotic process automation and intelligent automation. These any many more topics are covered in the episode.

 Enjoy the episode!

 #Bank, #Automation, #Robotics Process Automation, #Data Science, #Artificial Intelligence, #AI, #Machine Learning, #ML

Amer Mohammed is the Chief Digital Officer at Coop Sweden. 
 
 He is commonly described as an AI genius in the Swedish media and become known for transforming the traditional and billion dollar shipping company Stena to become more data- and AI-driven. 

 Amer is currently the Chief Digital Officer at Coop Sweden, a grocery store giant with almost 30 Billion SEK in revenue. In this episode, we discuss how digitalization is related to AI. Amer shares his experience with chatbots that he has implemented at both Stena and Coop - what are chatbots actually and what are their limitations? We also talk about how one goes about to transform big and traditional companies such as Stena and Coop. Furthermore, Amer reveals what the future of the grocery store industry will look like - how do the physical stores relate to the digital stores in the future? These and many more topics are covered in this episode.

 Enjoy the episode!

#Digitalization, #Data Science, #Artificial Intelligence, #AI, #Machine Learning, #ML

André Karpištšenko is the Global Head of Data Science at Bolt, a ride hailing company competing with giants such as Uber. 

 In this episode, André tells us about why he almost never uses the word AI in Bolt, how  Bolt is able to compete with much bigger competitors such as Uber with a much smaller team and why it is important to have a centralized Data Science team in a hypergrowth company. André also explains how Bolt prioritizes between all the potential data science use-cases, given their backlog of projects.

 Hope that you will enjoy the episode!

 #Data Science, #AI, #Artificial Intelligence, #Machine Learning, #ML

Salla Franzén is the Chief Data Scientist at SEB, one of the leading banks in the Nordic countries with roughly 15 000 employees. 

 In this episode, Salla tells us about how her "special forces team" of 9 data scientists is trying to make the entire organization of 15 000 people become more data-driven. We also get to learn more about what SEB is doing when it comes to AI. In addition, Salla explains why SEB is not yet using AI for credit scoring and what needs to be in place before that will happen.

 Hope that you will enjoy the episode!

 #Data Science, #AI, #Artificial Intelligence, #Machine Learning, #ML

Antonina Danylenko is the Head of Applied Machine Learning at Nordic Entertainment Group

 She has a PhD in Computer Science and was the second Data Scientist at the furniture giant IKEA before she became the head of applied machine learning at Nordic Entertainment Group.

 With more than 15 billion SEK in annual revenue, Nordic Entertainment Group is one of the leading entertainment providers in the Nordic countries, offering a broad range of services such as the streaming platforms Viaplay and Viafree, the TV channels Viasat, TV3, TV6, TV8 and TV10 and the radio channels Rix FM, Bandit Rock and Power Hit Radio.

 In this episode, we will get to learn about what a day is like in the life of the head of applied machine learning at Nordic Entertainment Group, how AI is applied in the Viaplay platform and what the main challenges have been so far. Antonina also shares her top 3 advice for someone who wants to get started with AI in a company.

 Hope that you will enjoy the episode!

 #Data Science, #AI, #Artificial Intelligence, #Machine Learning, #ML