Join us for the second symposium of RSA's Big Data Society as we explore the good stories of using machine learning (ML) and artificial intelligence (AI) to transform society.
This event was originally scheduled for Tuesday 20 September but will now be taking place on Tuesday 25 October.
Who is this for?
Those working in the public and private sector that want to contribute and understand more of how data can benefit society, those that are using data to build products and services for the benefit of society, and those 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 specifically the working of machine learning and artificial intelligence in 1. healthcare and 2. education, which will include outcomes from two recent ground-breaking projects:
1. Dina Radenkovic, CEO and founder of Watch Out Diabetes and currently building the AI Diabetic Nurse product.
2. David Wall, MD of InSoft on the Artificial Intelligent Teachers Assistant.
Q&A with Karol Ussher, Head of Google Technology Partners. AI in Google
Bechir Bourkiza, Data Scientist at Sopra Steria. Machine Learning in Education
Part 2: Ideas
Groups will be created by the host and any idea - simple to complex - for how we could conceptually use artificial intelligence for transforming society will be discussed.
Best ideas from within teams will be shared and discussed with the rest of 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 partnerships at Pivigo Data Science. Pivigo Data Science is a data science school, using big data, machine learning and artificial intelligence to solve problems that have never been solved before in education, healthcare, energy, transport, commerce and financial services. Neil's background is time at Microsoft, a Google Partner, and founding a mobile payment app.
Location: Rainmaking Loft, International House, 1 St Katharine's Way, London, E1W 1UN
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