When to consider
AWS Machine Learning & AI
Machine learning is transforming business operations by automating complex tasks and tackling problems once considered unsolvable. Yet, many ML initiatives stall at the prototyping phase due to infrastructure demands, scalability issues, or limited technical expertise. AWS helps overcome these barriers with pre-built services that simplify the technical complexity, enabling users to focus on their data and models.
AWS Machine Learning
and AI Solutions
Learning
Statistical Analysis
Natural Language Processing
Build tailored, high-performance AI/ML models to meet diverse business requirements.
Conduct in-depth analysis to uncover insights and ensure statistically sound conclusions.
Expand and analyze data across a range of semi-structured and unstructured formats.
Implement MLOps best practices to streamline machine learning workflows and accelerate deployment to production.
MLOps
Apply predictive insights to identify the most effective solutions to business challenges.
Forecasting & Optimisation
Utilize signal processing and deep learning to extract richer insights from image, audio, and video data.
Computer Cognition
Platform
Set up a SageMaker environment to support data preparation and AI/ML model development, with integrated access to essential data sources.
Prototype and Iterate
Develop models through iterative prototyping to achieve the desired accuracy, using techniques like feature augmentation and engineering. Integrate pre-built AWS ML services as needed based on the use case. Utilize SageMaker Model Registry to organize and manage model versions effectively.
Productionize
Use SageMaker endpoints to deploy ML models for real-time or batch inference.
Monitor
Monitor model performance to quickly detect issues like data drift or degradation. Enable automatic, continuous retraining to maintain accurate predictions.
Enable
Define standardized patterns and best practices for model development and deployment to accelerate time-to-market for new use cases.
Our Approach to
Machine Learning & AI
Discover
Hold discovery sessions with key stakeholders to deeply understand your AI and machine learning goals, ensuring alignment with business objectives and available data assets.