Past Meetup

ExpertTalks Big Data Special

Hosted by ExpertTalks Manchester

Public group

This Meetup is past

128 people went

Location image of event venue


IMPORTANT: Due to the tragic events which happened in Manchester, our venue has increased security. Each visitor is now required to show photographic identification before they will be allowed access into the building. So please make sure you have your driving license or passport with you.

**Updated Agenda:

Session One: "Big Data, Machine Learning and the Intelligent Edge in your business"

Andrew Pattinson & Lewis Crawford, Equal Experts

What is Big Data and how does it relate to Machine Learning and the Intelligent Edge that people are increasingly talking about? Can you realistically and usefully exploit the opportunities that lie in the linking of ever larger data sets with the huge increases in computational power now widely available. In this talk Andrew and Lewis dispel some of the myths, give you insight and prove that you don't need to be Facebook, Amazon, Netflix or Google to explore gaining competitive edge in this exciting and rapidly advancing area of Computer Science.

Session Two: Fishbowl session, run by Geraint Dawe from Equal Experts, where all attendees will have a chance to discuss their data engineering problems and more.

Andrew Pattinson - Andrew has a wealth of experience leading and growing Digital delivery organisations. He has held leadership positions such as Head of Online Development, Head of Digital Development and Head of IT. He has worked across both the private sector and government and really enjoys enabling the transformations that people and technology can bring to an organisation.

Lewis Crawford - Lewis has worked with data for more than 20 years. He has held roles such as Head of Architecture and Design at the British Library managing petabyte-scale Object Stores, he was the first Hadoop certified professional in Europe, and worked on large scale Big and Fast data systems for Morgan Stanley and Sun Microsystems before the term Big Data had been coined. He is focused on micro-services for macro problems; applying docker to architect highly-scalable data platforms, and assisting clients on Big Data projects. Recently he has been focused on Machine Learning and specifically Deep Learning applications.