Conference Piatetsky-Shapiro KDnuggets Data ScienceTech Institute

Big Data & Data Science Conference with Gregory Piatetsky-Shapiro – 23/05/2016 – Paris

Data ScienceTech Institute and Dr Gregory Piatetsky-Shapiro are proud to invite you to a day of talks and debates over a Data Science and Big Data Conference,
on May 23rd 2016, in Arts & Métiers ParisTech Campus.


Conference Piatetsky-Shapiro KDnuggets Data ScienceTech Institute

In partnership with

Arts et Métiers ParisTech ENSAM

Free attendance!

Programme

Morning – 10am: Keynote by Dr Gregory Piatetsky-Shapiro


During the morning, Gregory will give a talk followed by Q&A and open discussions.

Afternoon – 2pm – 6pm: Open Round-Tables Discussions


  • Connector.

    Contributions of Applied Mathematics to Data Science

    For this topic, discussions will, of course, take place on machine & deep learning, but they will also encompass other numerical approaches: data assimilation, system dynamics, game theory, harmonic analysis or nature-inspired techniques, gathered from physics and biology.
    The beauty of Data Science is to draw ideas and techniques from many scientific fields and as such raises the question: should we take the time to educate and train Data Scientists in becoming polymaths?

  • Connector.

    Big Data and Data Science along with the Digital Transformation era

    Digital Transformation, aka the Fourth Industrial Revolution, is a major concern for organisations, being public or private.
    The phenomenon of data exponential growth known as Big Data along with using numerical techniques and human and social sciences approaches for making sense of “such a mess” are giving fabulous yet difficult new challenges to organisations. How should HR policies evolve and how should the strategic workforce planning be driven? Where does the Chief Data Officer fit within an organisation’s hierarchy? Should jobs related to Big Data and Data Science be internalised or outsourced? And why?
    And maybe the most important: how to lawfully and ethically deal with users’ and customers’ acceptance of massive and systematic data analysis?

  • Connector.

    Big Data at the core of Ethics and Law in the 21st century: public health and bio-banks

    In our 21st century when lawyers and law-makers imagine, design and vote bills such as the Patriot Act, the Safe Harbor or the EU “Data Protection” Directive, which call and organise date collection and surveillance, society cannot forget the important contribution of “data specialists” to public health and biology.
    These contributions are raising questions to the citizen nonetheless. Anyone can legitimately question what is performed upon what we could call “hyper-private data”: which purposes, who is in charge, who provides trust, who ensures safety?
    And these questions will raise a more metaphysical one: how can and should law-makers work with disruptive and ever-changing technology in our modern democracies?

Location