Using data science to unlock our collective intelligence, both past and present.
At its broadest, data science is the art of extracting knowledge from data. Data science involves a range of disciplines including statistics, computer science, the physical sciences and engineering.
In 2015, we established a dedicated team to pursue opportunities in the emerging data science field. Focusing on high value projects, we will leverage our extensive experience and data in LNG and offshore operations.
Recent developments in data science have greatly increased our ability to analyse new types of data including written text, images and video footage. Advanced analytics and machine learning tools allow us to better predict future events and design algorithms whose performance improves over time.
The field of data science is essential as we work to harness Woodside's collective intelligence, both past and present. To achieve this, we are integrating data science as a normal part of our business activities, enabling our people to streamline their activities and decision making.
Our data science strategy is focusing on maintaining our competitive advantage through innovation to generate value and grow our business.
We have deployed IBM's Watson data science systems into various technical and commercial areas of our business.
Watch the videos below to see how we're using cognitive thinking to augment thousands of years of collective knowledge with IBM Watson.
Fiona Wood Foundation Data Hack
In December 2015, Woodside teams participated in a DataHack, collaborating with the Fiona Wood Foundation to analyse over a decade’s worth of burns patient data.
The 12-hour event provided an opportunity to build our growing capability in data science while making a sustainable, positive contribution to health research and outcomes in Western Australia.
Woodside’s relationship with Professor Fiona Wood spans more than 20 years, currently supporting the Scarless Healing Appeal through the Centre of Excellence in Burns Research.
Watch the video below to see how we can analyse data to find actionable insights.