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.
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.
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.
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.
Panos Alexopoulos brought knowledge graphs on stage at Data Innovation Summit 2018 to share his lessons from building one for the labour market.
Robert Luciani, a passionate computer engineer, can attest about how the technology of data science has evolved during the latest years.
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.
We might not be aware of it, but recommendation systems influence everything we read, watch and buy online. Every website has a recommendation system built in the background whether it’s to suggest an item based on what we have bought previously, suggest the next song to play, all the way to suggested jobs based on our qualifications on LinkedIn, or even dating websites matching us with potential partners.
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.
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