There is a lot of hype around AI nowadays. Apart from the big players like Google, Facebook and Apple, AI remains complicated for most companies. This is true because the challenges in using AI lie not only in...
Category - Nordic Data Science and Machine Learning Summit 2019
Feature attributions for sequence labelling neural networks – Josef Lindman Hörnlund, Modulai
I will discuss some recent axiomatic attribution methods and their application to sequence labeling neural networks in an attempt to explain the predictions of these models. Some of the important axioms for attribution...
Interacting with car data for failure patterns – Roshan Amasa, BMW Group
Thanks to rapid technological advances, AI have evolved from being a fad to an indispensable part of corporate strategy. No longer a nascent technology, AI have matured into solutions that draw enterprise attention...
Continuous Intelligence – Intersecting Event-Based Business Logic and ML – Paris Carbone, RISE
Modern data-driven business infrastructure is not as effective as it should be when it comes to critical decision making. Eng-to-End Data pipelines are composed out of fundamentally diverse pieces of tech, each focusing...
Data Science powering the rail industry’s transformation – Kim Næss & Elena Salova, Hitachi Vantara
When your train is 5 seconds late, should the train CEO apologize on national TV? This is what happens in Japan. The rail industry is facing several challenges with aging infrastructure and trains, and reliability in...
To deployment and beyond – Oskar Eriksson, DataRobot
90% of all AI models fail to deliver value. Why is that? With massive investments in data science teams, platforms, and infrastructure, the number of AI projects is dramatically increasing — along with the number of...
Data driven car diagnostic with Tensorflow & Google Cloud Platform – Maggie Mhanna, Renault Digital
The number of control units, high-tech features, and functionalities used in today’s automobiles have increased tremendously. With such rise in structure complexity and product variety, it becomes difficult for...
The Fake News Arms Race: How AI Can Create and Detect Fakes – Or Levi, AdVerif.ai
Recent advancements in AI have made powerful content-manipulation tools – that can create realistic images and videos – accessible to the public. Deep-Fakes have already undermined trust in democracy, incited violence...
How to find the most relevant existing documents with the help of ML – Pauliina Erätuuli, Nokia
We trained a ML model with existing documents to help use of existing information in a business process. The information is provided to the users to make a ML assisted decision based on the data. Key Takeaways How to...
AI in the real world: combining best of tech with best of humanity – Elin Allison, Telia Company
AI technology can be used for so much good – but also bad. How do you manage the risks and maximise the potential? What do Telia do in this space and how do we avoid the pitfalls connected to AI development? Key...
