Data and AI Innovators – Mats Stellwall
Mats Stellwall, Data Scientist at Oracle and a Data Innovation Summit 2019 speaker, shared his observations on the developments with AI, machine learning and deep learning.
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.
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.
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.
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.
We need to talk about diversity in data (part 1)
In the month leading to the second edition of the event that brings together women data practitioners to discuss accelerating data and AI innovation in the organisation, we talked to our speakers on the subject of diversity and the importance of initiatives that encourage more female engagement in the tech and data fields. But we also asked them about their personal experience and decision to start a career in data.
Nordic Women and Data Summit: An event that celebrates women in data
Nordic Women and Data Summit is envisioned as an educational, inspirational and networking platform for all women data practitioners in the Nordics.
Deep Learning: Breaking new ground with brain tumour segmentation
Brain tumour is one of the most fatal types of cancer that affects humans. It’s the biggest cancer killer of children and adults under 40, amounting to 14 million new cancer cases per year. And unfortunately causes 8,8 million deaths globally. These statistics are horrifying, but the good news is that deep learning is helping on a large scale to enhance brain tumour treatment.
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