Data and AI Innovators – Clair Sullivan
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.
The journey through predictive maintenance: A Tetra Pak story
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.
What is Edge AI and how it fills the cracks of IoT
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.
A practical approach to GDPR: A Telenor Story
Andrey Mostovykh presented Telenor’s practical approach to GDPR, the learnings and revisions of their data processes and tools they used.
Data and AI Innovators – Boris Volavicius
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.
Data and AI Innovators – Gábor Stikkel
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.
Data and AI Innovators – Kim Næss
Kim Næss, the person regularly representing Hitachi Vantara at our summits, talked through his views on the state of AI and data science.
Can we trust deep learning to detect duplicate code? GitHub did it
Clair Sullivan talked about duplicate code on GitHub and how they make sense of it using deep learning on graphs of code.
How Klarna personalises the checkout experience with data and ML
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.
Where are we with AI and ML so far: A Silicon Valley perspective
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.
Reaching new heights in air transportation with AI: Lufthansa
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.
Business
Data and AI Innovators – Adrian Badi
Adrian Badi sees AI developing into two extremes, but the path it takes depends on how we choose to develop these principles moving forward.
Data and AI Innovators – Anna Felländer
Anna Felländer was a speaker at Data Innovation Summit 2019 where she delivered a presentation on AI sustainability, its importance and how to achieve it.
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.
Towards a data-driven retail organisation: ICA Gruppen case study
One may wonder at hearing the words grocery retailer, data-driven and innovation pronounced in a single sentence, but ICA Gruppen – the leading grocery retailer – is breaking new ground with data and analytics.
Making data actionable in Schibsted Media Group
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.
The data management journey of H&M Group
This is why this time we are going to look into H&M Group’s data management journey. Alex Astrogold, H&M Group’s Data Management Architect portrayed the other side of the global retail brand’s data coin at Data 2020 Summit 2019.
How industrial AI is driving the manufacturing industry
One industry that abundantly reaps the fruits of AI innovation is without doubt manufacturing. AI has proven to be a real game-changer for the heavy asset and manufacturing industry.
Data and AI Innovators – Risto Karinkanta
Risto Karinkanta took the stage at Data Innovation Summit and shared Nordea Bank’s inspiring story what true collaboration looks like when the barriers between business and data are broken down.
Data and AI Innovators – Saulius Valatka
We reached out to our past speakers from previous editions of the Data Innovation Summit. The first one to break the ice is Saulius Valatka, Technical Lead at Adform.
We need to talk about diversity in data (part 2)
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.
Tech
Driverless cars and machine learning – How Volvo connects the dots
In order to understand how a car manufacturer uses machine learning to teach cars how to drive, we looked at how the Swedish automaker Volvo Cars makes self-driving cars possible.
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.