United StatesEnergy and utilities2025 – ongoingHunt Consolidated
Machine-learning-assisted monitoring of SAP workloads
Hunt reported no major system crashes after moving SAP operations to apiphani's managed service
Problem
Hunt's aging SAP systems ran slowly and suffered recurring outages. Its team relied on ad hoc monitoring tools.
Approach
Hunt engaged apiphani to migrate and upgrade SAP Business Warehouse on AWS. The managed service combined SAP support with Deep Automation and machine learning. Automated monitoring identified potential problems and generated trouble tickets before Hunt's users noticed them.
Results
Takeaway
The reliability result covered the combined migration, upgrades and managed service. Hunt did not isolate the effect of machine learning.
Categories
- Size
- Large enterprise
- Industry
- Energy and utilities
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Apiphani described Hunt's SAP migration and ongoing automated monitoring. Hunt's systems manager reported no crashes after the engagement, compared with 2 or 3 annually previously.
Full details are in the original sources.
