APIs Big data Document Metrics 
AWS Machine Learning
NOVEMBER 3, 2022
In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. Part 1: Classification and extraction of documents.
AWS Machine Learning
APRIL 24, 2023
Amazon Comprehend is a fully managed and continuously trained natural language processing (NLP) service that can extract insight about the content of a document or text. The steps are as follows: The client side calls Amazon API Gateway as the entry point to provide a client message as input. API Gateway bypasses the request to Lambda.
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AWS Machine Learning
DECEMBER 21, 2022
SageMaker Feature Store automatically builds an AWS Glue Data Catalog during feature group creation. Customers can also access offline store data using a Spark runtime and perform big data processing for ML feature analysis and feature engineering use cases. Table formats provide a way to abstract data files as a table.
Spearline
JANUARY 23, 2018
” How about full endpoint documentation for all our products. An API (Application Programming Interface) will enhance your utilisation of our platform. But that’s not all… 2018 is going to be The Year of Data Analysis! Big data is here and we have plenty of it.
AWS Machine Learning
JANUARY 26, 2024
Accelerate your security and AI/ML learning with best practices guidance, training, and certification AWS also curates recommendations from Best Practices for Security, Identity, & Compliance and AWS Security Documentation to help you identify ways to secure your training, development, testing, and operational environments.
AWS Machine Learning
FEBRUARY 1, 2024
This pipeline could be a batch pipeline if you prepare contextual data in advance, or a low-latency pipeline if you’re incorporating new contextual data on the fly. In the batch case, there are a couple challenges compared to typical data pipelines. He entered the big data space in 2013 and continues to explore that area.
AWS Machine Learning
MAY 8, 2023
In this post, we address these limitations by implementing the access control outside of the MLflow server and offloading authentication and authorization tasks to Amazon API Gateway , where we implement fine-grained access control mechanisms at the resource level using Identity and Access Management (IAM). Adds an IAM authorizer.
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