The Code 8.7 conference, organized by Delta 8.7, The Alan Turing Institute, the Computing Community Consortium, Tech Against Trafficking, the Rights Lab and the Global Security Initiative at Arizona State University, brought together the artificial intelligence, machine learning, computational science and anti-slavery communities for the first time in February 2019. Over two days, more than 30 speakers and 120 participants discussed how these technologies could be used to help in the fight to eradicate forced labour, modern slavery, human trafficking and child labour in line with Target 8.7 of the Sustainable Development Goals. The event examined the value of machine learning to the anti-slavery community, how best to combine Big Data and Small Data, the possibilities of information and communications technology (ICT) for survivor self-identification and the roles of satellite remote sensing, crowd-computing and open digital maps to better visualize slavery locations. Throughout the two days of plenary sessions and hothouses, there were conversations around the biases found in data, the need to understand modern slavery prevalence, how to use financial data to identify trafficking and the role of survivors as subjects and researchers.