We just wrapped up Conference Day 2 and the last day of the Data Innovation Summit 2020 – the biggest online Data & AI spectacle of the year. We’ve had an incomparable experience together with all the delegates, speakers and partners taking part in a fantastic collection of keynote presentations, deep-dive analysis, interactive discussion groups, panel debates, case studies and success stories of the most innovative companies in the world.
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.
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.
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.
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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