Data Processing with Spark + Big data & Machine Learning in Health Care

*Doors will be open from 5.30 pm onwards with the customary pre-drinks and food.

Due to Covid protocols, I will be letting people in so please meet at the entry doors on the corner of Alinga & Moore St. If I am not there I will be taking a group up so please wait patiently or call me on 0490 436 396.

Agenda:
6.00 - 6.40 - First Talk - Data Processing at Scale with Apache Spark
6.40 - 6.50 - 10 Minute Intermission
6.50 - 7.30 - Second Talk - Big Data and Machine Learning in Health Care
7.30 - 8.00 - Networking

Title: Data Processing at Scale with Apache Spark

Abstract: An introduction to some of the concepts which allows Spark to process very large amounts of data, in a very short amount of time. We’ll be looking at some of the basic design behind spark, and how to make it fly.

Bio: Andrew Newnham /Software Development Manager at Introspectus. Andrew has been working with data for nearly 20 years, in that time he has seen data move from small simple systems, to the large complex ones which are typical in modern-day organisations. A regular attendee at Spark Summit, he has been working with Spark for 5 years, 4 of those in production. Andrew leads the Introspectus Software Development Team, with his primary focus on improving performance from Introspectus’ Spark cluster.

LinkedIn: https://www.linkedin.com/in/andrew-newnham-5622bb74/

Title: Big data and machine learning in health care

Abstract: In this presentation, Chris Carter shows how big data and machine learning are impacting the health care industry. Chris previously worked for the largest Vet employer in the world, using cutting-edge image processing to identify cancer, pneumonia, and other illness in pets across the USA.

Bio: Chris began his career in engineering via a degree at ANU. Since graduating he has gone on to work with globally recognised brands like Ford Motor Company and Mars. Covering roles in implementation, continuous improvement, supply chain, formulation, data science, and software engineering.

In his spare time, Chris is an avid cyclist, a tech and science enthusiast, and the co-host of the podcast Affix which dives into the worlds of finance, economics, philosophy, and management theory.

LinkedIn: https://www.linkedin.com/in/chrismelba/