Machine learning is revolutionizing the way businesses operate by automating complex processes and solving previously intractable problems. However, building and productionizing AI-based systems can pose several challenges that often leave machine learning initiatives stuck in the prototyping stage, frequently due to extensive infrastructure and scalability requirements or lack of technical expertise. AWS alleviates many of these challenges through pre-built services that abstract away many of the complex underlying technical details, allowing users to focus on the data and models.
Zelusit’s AI services enable you to fully leverage the suite of machine learning capabilities on AWS to both build and deploy production-grade machine learning models in the cloud. We can assess your organization’s analytics goals and design an environment that supports end-to-end AI/ML development, from data preparation, model development, training/tuning, deployment, and management. Our team of data science experts can build a wide range of models to support your business-specific use cases and establish frameworks and best practices for future development.
