How data analytics is redefining the metal cutting industry
The engineering and metal cutting industry are undergoing a dynamic shift towards digitalisation.
How Volvo Group manages to communicate the value of data
Volvo Group is a clear pioneer with data and AI. We’ve already seen how Volvo Car Group in reinventing the self-driving cars department on daily bases. AI and innovation are the springboards for Volvo Group in all their operations focusing on connectivity, electromobility and automation.
Taming the reproducibility crisis in data science: Lars Albertsson
Reproducibility is a common challenge that plagues the scientific community. And data science is no exception. Everyone is talking and writing about how to overcome it, but few have had real progress.
The struggle of bridging the IT and business gap: Dacil Ullman, NWD Summit Chairwoman
The IT and business gap is a continuous topic of discussion. A lot of speakers at our summits have taken time to share their experience and solutions for narrowing this gap that many times looks like an abyss. This time, we give attention to Dacil Ullman, Group Data Analytics Manager at Interm, and Chairwomen at Nordic Women and Data Summit 2019. She presented on the constant struggle to bridge the gap between business and IT, and the Chief Analytics Officer who has the difficult role to execute it, at the Nordic Women and Data Summit 2018.
ML-powered accommodation hunt: The Airbnb approach
There’s rarely a person that hasn’t booked or at least tried to book a trip at least once with Airbnb. Founded in 2008, it’s an online platform that has revolutionised how people find places to stay around the world.
DataOps is breaking down silos between development, data and operations
DataOps emerged as a solution for bringing the battle-proven combo of developers and operations into the data processing and eliminating silos between developers, data scientists and operators.
Bringing down the barriers in enterprise analytics
Despite the highly developed enterprise analytics ecosystem, businesses are still realising only a fraction of the full potential value from data and analytics, as McKinsey state in their report. And there is a prevalent reason for that – barriers.
Experts reveal: What’s most important when building a data science team
Much has been said on the subject of building a good data science team, but it seems like companies are still struggling when it comes to putting together a data team.
Introducing data science in your company: A peek behind the scenes
As with other state-of-the-art technological advancements, introducing data science in a company is challenging.
End of content
No more pages to load