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p>Presented at MEDAMI 2016/p> p>The transformations that have taken place in Information and Communication Technology in the past 20 years have given rise to a new form of scientific research paradigm where data-intensive, large-scale projects combine experiment, theory and computing to address fundamental questions about ourselves and our universe. The large-scale computing and data analysis infrastructure set up by the High Energy Physics community to support the research of the LHC Experiments at CERN and in the hundreds of collaborating facilities worldwide is one of the foremost examples of this paradigm./p> p>Today the HEP community is not anymore the only place where increasingly large amounts of data are produced. Biomedical and healthcare research and practice could benefit from a broader use of big data analysis and simulation platforms. However, the biomedical domain requires a new focus on careful governance and use of data and information in the respect of the social and human value of such data and the design and deployment of collaborative frameworks where medical research, clinical practice and modern information technologies can constructively interact with each other to deliver personalized care./p> p>This talk briefly describes the state of the art of large-scale data analytics platforms as used in the HEP community and the ongoing work to adapt and extend such platforms for the benefit of medical applications./p>

Overview presentation of the CERN and LHC Experiments computing and data infrastructure and the technology evolution strategies being currently evaluated. Presented at the HPC & Big Data Conference, London on 4 Feb 2016

The growing availability of large quantities of data from medical devices, laboratory notes, digital simulations, doctors' notes, images, and even social networks are opening new opportunities for medical research and clinical practice. A proper understanding of data, tools and platforms and of how they related to the objective of the research are a necessary first step. The availability of platforms with clear separation of roles, ownership and responsibilities plays a fundamental role in enabling efficient use of data at large scales. What is the state of the art and the possible applications? What can be learned from existing activities in high energy physics?

Keynote presentation at the HEPTech Conference on Big Data, Budapest, 30 March 2015. A personal definition of Big Data, its technological challenges and impact on society.