Analytics APIs Entertainment Healthcare 
AWS Machine Learning
FEBRUARY 29, 2024
The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.
AWS Machine Learning
SEPTEMBER 19, 2023
The key components of the technical architecture are as follows: Data storage and analytics – The quarterly financial earning recordings as audio files, financial annual reports as PDF files, and S&P stock data as CSV files are hosted on Amazon Simple Storage Service (Amazon S3). Data exploration on stock data is done using Athena.
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AWS Machine Learning
DECEMBER 21, 2022
Apache Iceberg is an open table format for very large analytic datasets. It manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. put_record API to ingest individual records or to handle streaming sources.
AWS Machine Learning
AUGUST 2, 2023
It has applications in areas where data is multi-modal such as ecommerce, where data contains text in the form of metadata as well as images, or in healthcare, where data could contain MRIs or CT scans along with doctor’s notes and diagnoses, to name a few use cases. This is where image-to-text models can be a game changer.
AWS Machine Learning
OCTOBER 5, 2022
The second important component of the architecture is Amazon Kinesis Data Analytics for Apache Flink. Kinesis Data Analytics provides the underlying infrastructure for your Apache Flink applications. NHL Edge IQ, powered by AWS, is bringing fans closer to the action with advanced analytics and new ML stats.
AWS Machine Learning
SEPTEMBER 1, 2023
These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.
AWS Machine Learning
JANUARY 26, 2024
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