EVENT - Tuesday
When6:00 PM - 9:00 PM
Dublin DSF Meetup with SAS
October 30th 2018. Join us this month for an evening of computer vision. During the talks we’ll cover the ability to apply image processing techniques, build deep learning models and deploy this insight in-batch, in-stream or at-the-edge and how this is enabling businesses to drive new insight from unstructured image and video data.
Data Science Festival – Dublin in partnership with SAS in October for two great speakers.
Note: Please use your full real names where signing up, otherwise you will not be able to gain access to the venue. People registered with only their first names will be removed from the guest list and replaced from the waiting list.
6.00pm doors open
6.30-7:15pm – Katherine Chinn
7:15-7:45 pm – Refreshments
7:45-8:30pm – TBC
8:30-9.00pm – Networking and close
Katherine Chinn – Associate Analytics Specialists at SAS
Bio: Kat has been working for SAS for over a 5 years as an analytics consultant, based originally in the UK and joined the Irish team back in October 2017. In her 5 years at SAS Kat has gained experience building analytical solutions to solve business problems for retail, finance, commercial and public sector organisations. In her current role Kat supports both the UK and Irish sales team providing analytical and statistical expertise to our customers. Kat graduated with an Msc in Pure Mathematics in 2013
Summary: SAS see computer vision as one of the may analytical approaches encapsulated within artificial intelligence . The ability to apply image processing techniques, build deep learning models and deploy this insight in-batch, in-stream or at-the-edge is what is enabling businesses to drive new insight from unstructured image and video data. In our talk, we will initially highlight how computer vision has been fuelled by advancements in technology and the lifecycle of a typical computer vision project. We will then break out and think through how some aforementioned techniques could be used to deliver a real use-case. Finally, we will wrap-up by demonstrating the approaches we have undertaken for some of our customers to drive real business value.