Managed Support & Maintenance for your AI Solution
Overall, AI systems maintenance involves a combination of data management, model monitoring, retraining or updating, bug fixing, performance optimization, compliance checks, and continuous improvement based on user feedback.
People using this system need support.
By investing in proper maintenance, AI systems can remain effective, reliable, and aligned with evolving needs and expectations.
We can help with:
- Data Management: help with ongoing data management & review
- Model Monitoring: Monitoring the performance of AI models is crucial to detect any anomalies or deviations.
- Model Retraining and Updating: retraining involves feeding the model with new data and recalibrating the model’s parameters.
- Bugs and Error Handling: AI systems can encounter bugs, errors, or unexpected behaviors. We must log & review these before deploying fixes.
- Optimization: as a model evolves and scales a continuous review of the system will ensure it runs optimally.
- Ethical and Regulatory Compliance:in an ever changing world we help you take the front foot with compliance.
- Iterative Improvement:Incorporating user feedback into the maintenance process allows for iterative enhancements, model changes and the refinement of the AI system’s functionality.
- Hosting & Infrastructure: ensuring your solutions run & scale when and where they need to.
- Cost Optimization:with most AI solutions there are ongoing costs. As models change so does the cost landscape. We often have the opportunity to optimize solutions for cost reduction either via model switching or smarter architecture.
