Scalable microservice application design and implementation with container orchestration deployment. Inclusive UX design, web and mobile clients, big data storage, security, CICD from the get go.
Data is integral to a successful ML project. Wrong, inaccurate or rotting data will result in an inaccurate prediction and classification by the ML model. Data pipeline is an ecosystem itself that needs flexible, configurable and manageable. Data needs to be extracted and sanitized for ML training to be effective. Storage needs be managed and storage strategy needs to be carefully selected. ML model training needs to be unobstructed by scalability issue if the intelligent system is to continue operating accurately.
If you are thinking of augmenting your existing system with ML, we can help you analyze your current data, investigate and test the ML model that best suite your needs, provide you with a roadmap, implement and integrate the ML intelligent system to your infrastructure.
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