United StatesHealthcare and life sciences2021 – ongoingMolina Healthcare
AI and machine-learning monitoring for critical IT services
Molina Healthcare reported 80% fewer outages, incidents and downtime after a monitoring overhaul
Problem
Molina Healthcare used disconnected monitoring tools and lacked real-time visibility into critical systems. Its claims-processing engine and call center depended on reliable service availability.
Approach
Molina adopted a machine-data platform with integrated AI and machine learning to correlate operational data. Its team also introduced dashboards tied to business indicators and prioritized critical services.
Results
Takeaway
The reported improvement covered the broader monitoring program; Splunk did not separate the contribution of AI.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Goal
- Quality and risk
- Evidence
- Vendor case study
Sources
Source summaries
Splunk described Molina's use of AI and machine learning within a wider service-monitoring overhaul. It reported an 80% reduction in outages, incidents and downtime across that program.
Full details are in the original sources.