Once use cases are identified, we implement these in Marathon following our suggested pilot setup.
✓ Data Quality Assessment
✓ Use case workshop to establish a prioritized analytics roadmap
✓ Allocation of dedicated delivery and data science resources - up to 100 effective hours in total
✓ Focus on one equipment type
✓ Configuration and deployment of up to 2 template models, one custom model, and associated Events and Engineered Features (KPIs)
✓ Deploy problem/anomaly detection models running on live data,
generating events in Marathon
✓ Enable users to observe events and evaluate their value relative to the original problem during 2 months
I see Arundo – together with the Marathon Suite – empowering our operations teams to make smarter business decisions through the use of our data. What I love about Marathon and the Arundo team is their approach to using off-the-shelf analytical models that deliver actionable insights to our operators.
Marathon is currently deployed in some of the most complex asset facilities at scale. Whether our tool is supporting decisions being made by captains on LNG vessels or area managers overseeing onshore Oil & Gas services across an entire region, our AI-driven insights are delivering provable value on a daily basis.
Learn more in our case studies:
Request an in-depth run-through of our software and get a greater understanding of how it will serve your needs.
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