Clair demonstrated a deep learning method that can be used to detect duplicate code at GitHub, which is more than half of all the code on the platform.
Tetra Pak, the company which revolutionised food packaging with the tetrahedron-shaped plastic-coated paper carton, has been on a predictive maintenance journey for several years now.
IoT has been on the scene for a while, the number of connected devices is increasingly growing and consequently the amount of data they are generating.
Andrey Mostovykh presented Telenor’s practical approach to GDPR, the learnings and revisions of their data processes and tools they used.
Boris Volavicius in his interview talked to us about the benefits of IIoT, some challenges that are still to be tackled and his prediction for the industry.
The prolific career of a data scientist can have its roots in an innocent child’s dream to predict soccer results. Or at least that was the case for Gábor Stikkel, an accomplished Senior Data Scientist at HID Global and speaker at the Data Innovation Summit 2019.
Kim Næss, the person regularly representing Hitachi Vantara at our summits, talked through his views on the state of AI and data science.
Clair Sullivan talked about duplicate code on GitHub and how they make sense of it using deep learning on graphs of code.
We are going to see Klarna’s story from an engineer’s and data scientist’s point of view, where first we look into their data organisation and structure, and later we’ll devote the white space to their machine learning models for superb purchase experience.
As Silicon Valley is the main cradle of the largest high-tech corporation, including Apple, it’s only fitting to have a Silicon Valley perspective on where we stand with digitalisation and emerging technologies like AI, machine learning and deep learning. Bhairav Mehta, Data Science Manager Apple gave a comprehensive overview of the latest developments and trends, but also covered important historical breakthroughs that lead to the current state of AI and ML.
Soeren Linau, Head of Swiss Cross-Domain and Lufthansa Group AI Studio, is coming to Data Innovation Summit 2020 to present what Lufthansa Group is doing in the area of artificial intelligence and how AI Studio contributes to AI innovation in the Group.
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.
Being an international publishing company, the largest media group in Scandinavia and owning some of the largest newspapers in Sweden and Norway, on top of all operating classified business ads and media sites for over 20 countries, for Schibsted Media Group implies collecting a lot of data. But as it is, data is only valuable if you know how to analyse it and take action.
Last week, we talked to some of our Nordic Women and Data Summit speakers on the topic of diversity; their thoughts on diversity, specific activities their companies are involved in to encourage diversity and their personal journey with data.