Clinton’s campaign: Could machine learning and Java have prevented their failure to handle big …

In truth, Clinton’s loss —and our inability to forecast it— was a failure of data and the inability of humans to see biases, and to accurately analyze data at scale and speed. This highlights one of the biggest challenges facing today’s politicians and businesses alike. With so much data being collected and collated on an unprecedented scale, the shock US election reminds us that this information is only useful if it can be efficiently analysed to produce real and actionable insights that can inform decisions. Machine learning (ML) and artificial intelligence (AI) has the ability to give those insights if employed correctly; it offers the ability to analyse vast datasets and identify correlations that humans, due to the sheer size of the task, are simply unable to process. Data, and…


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