AWS Machine Learning Blog

APRIL 7, 2023

As one of the most prominent use cases to date, machine learning (ML) at the edge has allowed enterprises to deploy ML models closer to their end-customers to reduce latency and increase responsiveness of their applications. Even ground and aerial robotics can use ML to unlock safer, more autonomous operations. Instances[*].

BERT 96

BERT Metadata ML Natural Language Processing 96

Mlearning.ai

JANUARY 26, 2023

Typical steps include: Prepare your data in some Cloud-native format, analysis-ready and fully documented, a consistent file naming convention, spatial resolutions, bounding box etc. Upload your data to a server with a storage service able to provide HTTP range requests (e.g. Register metadata in standardised catalogue (e.g.

Metadata 98

Metadata Data Science Big Data Linked Data 98

Heartbeat

NOVEMBER 6, 2023

You might need to extract the weather and metadata information about the location, after which you will combine both for transformation. In the image, you can see that the extract the weather data and extract metadata information about the location need to run in parallel. This type of execution is shown below.

ETL 52

ETL Python Metadata Deep Learning 52

Unite.AI

MARCH 17, 2025

After all, companies cant have AI development without fixing data first, and leaders are pulling away from the pack by using their more matured capabilities to better ideate, prioritize, and ensure adoption of more differentiating and transformational uses of data and AI.

AI Strategy 202

AI Strategy Data Quality AI AI 202

Flipboard

NOVEMBER 27, 2024

The application needs to search through the catalog and show the metadata information related to all of the data assets that are relevant to the search context. Solution overview The solution integrates with your existing data catalogs and repositories, creating a unified, scalable semantic layer across the entire data landscape.

Metadata 150

Metadata Auto-complete Data Discovery ML Engineer 150

AWS Machine Learning Blog

DECEMBER 19, 2024

Common patterns for filtering data include: Filtering on metadata such as the document name or URL. About the Authors Simon Zamarin is an AI/ML Solutions Architect whose main focus is helping customers extract value from their data assets. Manager of AI/ML Solutions Architecture at Amazon Web Services.

LLM 94

LLM Machine Learning Natural Language Processing ML 94