Artificial Intelligence
Author: Nate Bachmeier
Nate is a Sr. Solutions Architect at AWS that nomadically explores New York City one cloud integration at a time. He works with enterprise customers, helping them migrate to the cloud and adopt cutting edge technologies.
Content moderation design patterns with AWS managed AI services
User-generated content (UGC) grows exponentially, as well as the requirements and the cost to keep content and online communities safe and compliant. Modern web and mobile platforms fuel businesses and drive user engagement through social features, from startups to large organizations. Online community members expect safe and inclusive experiences where they can freely consume and […]
Reduce costs and complexity of ML preprocessing with Amazon S3 Object Lambda
Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. Often, customers have objects in S3 buckets that need further processing to be used effectively by consuming applications. Data engineers must support these application-specific data views with trade-offs between persisting derived copies or transforming data […]
Implement MLOps using AWS pre-trained AI Services with AWS Organizations
The AWS Machine Learning Operations (MLOps) framework is an iterative and repetitive process for evolving AI models over time. Like DevOps, practitioners gain efficiencies promoting their artifacts through various environments (such as quality assurance, integration, and production) for quality control. In parallel, customers rapidly adopt multi-account strategies through AWS Organizations and AWS Control Tower to […]