Build, Manage, and Deploy Machine Learning
Models with Ease
Getting Started with ML Modernization
ML solutions provides a way to deploy the use cases readily with just a few clicks, making it easier for you to get started. Our solutions are fully customizable and support one-click deployment and fine-tuning of more than 150 popular open-source models, such as natural language processing, object detection, and image classification models.
We offer services such as
ML Integration on Existing AWS Infrastructure
Efficient Data Preprocessing and Training for ML
Simplified Modeling and Model Versioning in ML
Seamless Implementation of Complete ML Pipelines
Effective Model Monitoring and Retraining for ML
Identify potential fraud or unusual activities in financial transactions using anomaly detection.
Utilize machine learning algorithms and statistical analysis to identify deviations from expected patterns.
Analyze transactional data to establish normal behavior patterns for each customer or account.
Continuously monitor incoming transactions to flag anomalies.
Detect suspiciously large transactions, unusual frequency or timing, and geographically distant transactions.
Trigger automated alerts or notifications upon detecting an anomaly.
Investigate flagged transactions or accounts promptly to mitigate risks.
Automate loan underwriting by analyzing borrower data, credit history, and relevant factors.
Streamline approval process, reduce manual work, and improve efficiency.
Increase accuracy and consistency in loan decisions using advanced algorithms.
Define rules and criteria based on risk appetite and regulatory requirements.
Continuously refine and enhance algorithm for improved decision-making accuracy.
Analyze user viewing history, ratings, and interactions for personalized content recommendations.
Consider factors like genre preferences, similar user behavior, trending content, and contextual relevance.
Generate curated lists of movies, TV shows, and media based on user preferences.
Present recommendations through personalized suggestions, notifications, or in-app suggestions.
Continuously refine recommendations based on user feedback and evolving preferences.
Simplify. Boost. Save.
Effortlessly scale ML in production, handle large datasets with ease, and accelerate model deployment
Streamline ML workflows, reduce operational overhead, and empower ML teams for enhanced productivity
Lower Operational Costs
Consolidate and standardize ML platforms, streamline onboarding, and optimize resource allocation for cost savings
Why Choose ACC?
Partnering with ACC can help to accelerate your project development. ACC brings in-depth knowledge of best practices, pre-built ML models, and reusable components using AWS Sagemaker, enables faster implementation and reduces development time and costs.
Infrastructure and Scalability:
ML projects often require robust infrastructure and scalable resources to train and deploy models efficiently. ACC can help design and implement scalable architectures using AWS services like Amazon Sage Maker, AWS Lambda, and Amazon EMR, ensuring your ML solutions can handle varying workloads and demand.
Expertise and Guidance:
ACC specializing in ML can offer extensive expertise and guidance throughout the project lifecycle. We have experience working with various ML technologies, frameworks, and AWS services, and can help you choose the right tools and approaches for your specific project requirements.