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Edinburgh's community meetup for people working in - or just interested in - Data Science and AI. We're a friendly bunch of professionals, academics, students and others who enjoy meeting over drinks and pizza and listening to insightful talks.

We will once again be generously hosted by CreateFuture at the Old Stamp Office (next to Waverley Station) from 6pm on Thursday 29th January. CreateFuture will also be kindly sponsoring pizza and drinks for the event ๐Ÿ™Œ

We have two fantastic speakers lined up:
Stephanie Droop will present to us An Introduction to Causal Cognition. We'll learn about modelling the psychological processes that underlie human learning, reasoning and decision-making.
Dan Llewellyn will give us insights from his career enabling adoption of AI solutions at CreateFuture's partners with a talk titled 10x Broken: Why AI Experiments Fail & How to Build an AI-Native Delivery Engine That Actually Works.

Schedule:
6pm - 7pm - Networking with pizza and drinks
7pm - 8.30pm - Talks with Q&A
8.30pm onwards - Continued networking

The Stamp Office is an accessible venue, if you have any questions about accessibility please get in touch.

If you have a community announcement / you are hiring do come along and make an announcement in the shoutouts section or let us know and we can announce it for you.

Speaker bios:
Stephanie Droop is in the final stages of her PhD at University of Edinburgh Informatics where she is researching the computational basis of how the human mind represents causality. Previously she worked at KPMG performing financial due-diligence on complex company mergers. She is passionate about applying rigorous scientific approaches to solving real-world problems and is now looking to do so outside of academia again.
Dan Llewellyn is Director of Technology at CreateFuture, where has was previously Head of Engineering. His career spans over a decade in software engineering including at several of the UK's leading software consultancies.

Related topics

Events in Edinburgh, GB
Artificial Intelligence
Machine Learning
Big Data
Data Science
Technology

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