Remove 2010 Remove Automation Remove Data Ingestion
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Improving air quality with generative AI

AWS Machine Learning Blog

The platform, although functional, deals with CSV and JSON files containing hundreds of thousands of rows from various manufacturers, demanding substantial effort for data ingestion. The objective is to automate data integration from various sensor manufacturers for Accra, Ghana, paving the way for scalability across West Africa.

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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning Blog

MongoDB Atlas offers automatic sharding, horizontal scalability, and flexible indexing for high-volume data ingestion. Among all, the native time series capabilities is a standout feature, making it ideal for a managing high volume of time-series data, such as business critical application data, telemetry, server logs and more.

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Unlock ML insights using the Amazon SageMaker Feature Store Feature Processor

AWS Machine Learning Blog

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. Choose the car-data-ingestion-pipeline.

ML 120
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Cassandra vs MongoDB

Pickl AI

It was initially developed at Facebook to address the challenges of managing massive data volumes for their inbox search feature. Released as an open-source project in 2008 and later becoming a top-level project of the Apache Software Foundation in 2010, Cassandra has gained popularity due to its scalability and high availability features.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

This makes GPUs well suited for data-heavy, matrix math-based, ML training workloads, and real-time inference workloads needing synchronicity at scale. Both use cases require the ability to move data around the chip quickly and controllably. An example of this approach is given by WorldQuant, an algorithmic trading firm.

ML 100
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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

SnapLogic , a leader in generative integration and automation, has introduced the industry’s first low-code generative AI development platform, Agent Creator , designed to democratize AI capabilities across all organizational levels. This post is cowritten with Greg Benson, Aaron Kesler and David Dellsperger from SnapLogic. Not anymore!