Big data and dangerous ideas | Daniel Hulme | TEDxUCL

This talk was given at a local TEDx event, produced independently of the TED Conferences. This is an illumining and animated talk about how Data and Artificial Intelligence effect our every day lives. It provides a framework for anyone to understand data driven decision making process, and raises critical moral, ethical and legal questions that society needs to address to ensure that our rights are kept safe and that we safeguard our very own existence. Daniel is the Founder and CEO of Satalia (NPComplete Ltd), a spin-out of UCL that provides a unique algorithmic technology and professional services to solve industries data-driven decision problems. He is passionate about emerging technology and regularly speaks at events with interests in Algorithms, Optimisation, Analytics, Big Data and the Future Internet. Daniel has been awarded a Masters in Computer Science with Machine Learning and Doctorate in Computational Complexity from UCL. He is the Director of UCL Business Analytics MSc, and has Senior Researcher and Lecturing positions in Computer Science and Management Science at UCL and Pearson College. He is a Visiting Fellow of the Big Innovation Centre, and has advisory and executive positions across world-wide companies in the area of Education, Analytics, Big Data, Data-driven Decision Making and Open-Innovation. He holds an international Kauffman Global Entrepreneur Scholarship and actively promotes entrepreneurship and technology innovation across the globe. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)