Join us for this symposium as we explore how we can exploit big data and influence big society.
This is a symposium for RSA members to share ideas on how to use data that will make a more civilised society by specifically helping the vulnerable and disadvantaged. We may all encounter a moment in life where even the luckiest of us are vulnerable and disadvantaged, e.g. in a car crash, and we need to trust that we will be brought back to health as quickly and effectively as possible. This symposium is for several different types of people and will be split into 3 parts.
Who is this for?
Those working in the public and private sector that want to contribute and understand how data can benefit society;
those working in the public and private sector that are using data to build products and services for the benefit of improving standards of living in society, especially for the vulnerable and disadvantaged;
those working in the private and public sector that have ideas, contacts, influence, inventions, or technology that they want to share in an open forum.
Part 1: Introduction from Neil Staunton FRSA*
Introduction to Big Data, Data Science, and A.I
Three examples of using data: Healthcare, Education, and Social Welfare.
Methodology for framing our ideas into actionable solutions.
Part 2: Ideas
Groups are created by the host and any ideas - simple to complex - will be discussed within the groups for exploiting Big Data in Big Society using the methodology.
Best ideas from within teams are shared with the rest of the teams.
Best idea is voted for by the room.
Part 3: Chatting (AKA Networking)
How can we get to know people better and take one step forward putting these ideas into action?
We do hope you can join in the discussion. The event is open to both Fellows and non-Fellows of the RSA, but please do book your place at the top of this page so we know that you're coming. Any questions, contact Neil Staunton FRSA: email@example.com
*Neil Staunton, currently Head of Sales & Partnerships at Pivigo Data Science. Pivigo Data Science is a Data Science & R&D School. Neil joined Microsoft in 2008 for 3 years. Neil launched his own mobile payment App startup. In 2013 Neil joined the largest Google Partner in EMEA before being given the opportunity to grow Pivigo Data Science to use Big Data, Machine Learning and AI to solve problems that have never been solved before in in Energy, Transport, Healthcare, Education, among others. Neil has has recently spearheaded a ground-breaking pilot project to create an Artificial Intelligent (AI) Teachers Assistant with IBM's cognitive computing engine, Watson.
Location: Rainmaking Loft, International House, 1 St Katharine's Way, London, E1W 1UN
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