Industry and Academia coming together to improve maintenance outcomes with Machine Learning
DINGO is the world leader in providing Predictive Maintenance solutions to asset-intensive industries. By partnering with QUT, DINGO achieved business outcomes within 2–3 months using machine learning development to improve the scale and impact of its predictive maintenance capability. The LABS interviews Gary Fouché, DINGO Vice President of Research and Development.
- Information And Tech
- Machine Learning
- Predictive Maintenance