D&AM SIG Event: Digital on a Shoestring, Automation and Control Systems
Join us for our DAM SIG event on 20th June 2019 from 08.30 – 13.00 at the Barclays Eagle Lab in Cranfield.
In addition to two fantastic speakers the day will feature a “Digital on a Shoestring” workshop, organised by Cambridge University’s Institute for Manufacturing, run by IfM’s Liz Salter.
The aim of the Digital on a Shoestring programme is to create a suite of open-source automation and digitalisation programmes to aid SMEs with their daily operations. The workshop is designed to get the views of SMEs on their requirements and wishes so that the right programmes can be developed. This gives you a real opportunity to influence and guide the work that is to be done to ensure you get the outcomes that best service your business’ needs.
Before the workshop, the morning will feature presentations by:
Dr Lavidra de Silva – Dr de Silva is a Senior Research Associate in the Cambridge University Engineering department. His experience and interests includes the application of AI in manufacturing and robotics, as well as manufacturing control systems. He will cover Automation and control systems in his presentation which is sure to fascinate.
Luke Mason – The Application Performance Engineering Group Leader at the Hartree Centre, Luke’s vast experience in coding, code scalability and optimisation of novel architectures will all come to the fore in his presentation covering AI and Applied Predictive Analytics in manufacturing. Luke will also highlight funding opportunities that are available for companies, making this a presentation not to be missed.
A perfect opportunity to network with like minded colleagues, please join us for the day, which includes a welcome breakfast and buffet lunch.
This event is hosted by our founding member, Barclays, at their Barclays Eagle Lab at Cranfield University. Address: 1 Medway Court, Cranfield University, Bedfordshire MK43 0FQ.
Non-Members - please contact Jackie@silverstonetechnologycluster.com if you wish to attend.