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.
Do’s and don’ts in establishing an ML analytics practice
Establishing analytics in an organisation may seem like reinventing the wheel and make business leaders feeling like they’re out of their depth.
Business
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.
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.
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.
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.
Tech
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.
Data and AI Innovators – Jorge Davila Chacon
Jorge Davila Chacon discussed the RL application for debt collection at Data Innovation Summit 2017. But a time-lapse of almost 3 years is a lifetime in the machine learning world. This was the reason we invited Jorge to talk about recent developments in AI and ML, and particularly in reinforcement learning, not only from a technical side, but also from a social aspect of the adoption of these technologies.
Data and AI Innovators – Daniel Zakrisson
Giving up ownership over their data even for collaboration for building machine learning models is what organisations fret about. Daniel Zakrisson talked about federated machine learning as a solution for this predicament at Data Innovation Summit 2019.
ML codes can open iron doors: Gesture recognition
Electronic access cards are nothing new – last century news. But what if you could open a door just by making a wrist with your phone. A group of very smart guys sat down and decided to find a way to take the experience of opening a door to the next level – and the perfect solution was to turn the phone into a key relying on gesture recognition.
Automated and AI-enabled B2B lead generation
How to generate more leads? This is a question that all B2B businesses are trying to answer by relying on different inbound and outbound B2B lead generation methods.
Data and AI Innovators – Panos Alexopoulos
Panos Alexopoulos brought knowledge graphs on stage at Data Innovation Summit 2018 to share his lessons from building one for the labour market.
AI-powered telecom network of tomorrow: Ericsson case study
The telecom networks of today connect people. The telecom networks of tomorrow will not only connect people but also things, factories and offer immersive video use cases with the help of 5G and IoT.
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.
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.
“Dumb intelligence” or getting wrong results with machine learning
Ismail Elouafiq, a Data Scientist at SVT has drawn a genius association between machine learning systems. (Disclaimer: Ismail’s presentation and this article contain mentions of cats, so people that are allergic or just don’t like cats, you’ve been warned.)