Leveraging AWS Sagemaker and SingleStore for Real-Time Streaming Analytics

SingleStore is presenting a workshop on November 12th in New York City at the AWS office, focusing on enabling real-time data-driven insights using Amazon Sagemaker and SingleStore, a highly performant cloud-native database. The workshop will cover how to deploy machine learning models into production, leveraging SingleStore's capabilities such as streaming data analytics, operational analytics workloads, and SQL-compatible tools. SingleStore integrates with popular machine learning tools like TensorFlow, scikit-learn, and R, allowing for rapid model deployment and high-speed scoring. The workshop will also demonstrate how to jointly deploy SingleStore real-time streaming ingest pipelines with Sagemaker inference ML endpoints, enabling organizations to reduce time to value and operational costs while improving the customer experience.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.