chilliapple
Ongoing AI Support and Optimisation
The problem this solves
AI systems that stall or drift after launch
chilliapple provides continuous monitoring and refinement of deployed AI systems, plus training for internal teams, so solutions adapt as both the business and the technology landscape evolve. A 30-day post-launch support period is guaranteed.
AI supportOptimisationTeam trainingChange management
Similar solutions
Post-Launch AI Support and OptimizationHire AI DevelopersThe problemAI systems degrading after launch without maintenanceAI supportModel monitoringOptimizationMLOps, Deployment & AI Managed ServicesDamco GroupThe problemDeployed models degrading and drifting after launchTechniqueWhen models change, retrain and reroute rather than restartMLOpsModel monitoringAI managed servicesAI Observability and OptimizationImprovingThe problemAI model performance decaying as data drifts after launchAI observabilityModel monitoringData driftAI Delivery SolutionsSevTechThe problemAI pilots that stall before reaching productionAI deliveryMLOpsAWSAI implementation roadmap and deliveryAsthaITThe problemAI projects that stall or fail to deliver real value after launchAI implementationAI strategyChange managementAI Usage and ChangeAIUCThe problemAI systems that nobody uses after rolloutTechniqueMeasures adoption before and after, built into the workflowAI adoptionChange managementWorkflow integration
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