12pm - arrive for some pizza and drinks
12:30 - talks start
1:30pm (ish) talks conclude
We'll be hearing from Jason McPherson from Culture Amp and Phil Bolton from PwC.
Machine Learning for employee safety
There is a lot of buzz words out there when it comes to Data Analytics: Machine Learning, Big Data, Artificial Intelligence ... but how is it relevant to employee Safety? Phil will be explaining how each of these have been used to address Health, Safety and Environment challenges for his clients across series of recent projects.
Phil is a Director at PwC in Consulting who also leads the Safety Analytics practice at PwC Australia. He has been delivering machine learning projects in Safety to businesses across a broad range of industries and countries for over 15 years. Phil helps his client improve their Safety performance by realising the value in their enterprise wide data assets through the application of advanced analytics techniques.
Creating Usable Data Science Products
The talk will give a short summary of the Culture Amp story and platform. As part of the journey for Culture Amp Jason will discuss how Data User Experience (D-UX) is just as vital for Culture Amp as general UX.
Jason will then dive into some of the ways that data science is used at Culture Amp incuding:
Using simple and pragmatic analytics versus complexity for its own sake
Benchmarks and the problems of messy data in the real world
Experiments in text analytics and our production implementation journey
Experiments for the future
Jason McPherson is the Chief Scientist (and was the first employee) at Culture Amp – an all-in-one employee feedback and analytics platform and one of Australia’s fastest growing technology startups with offices in Melbourne, San Francisco, New York and London. Since 2011, Jason has collaborated with some of Culture Amp’s most innovative customers combining psychology, technology, and data science to create products that help educate and empower people geeks. He continues to use research to inform product innovation in collaboration with Culture Amp’s growing people science, data science, and UX research teams. He has a PhD in Psychology and continues to write and publish in the field.