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Data Fabric and Address Verification Interface

IBM Data Science in Practice

What is a data fabric? Data fabric is defined by IBM as “an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems.” Ensuring high-quality data A crucial aspect of downstream consumption is data quality.

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Improving air quality with generative AI

AWS Machine Learning Blog

The solution harnesses the capabilities of generative AI, specifically Large Language Models (LLMs), to address the challenges posed by diverse sensor data and automatically generate Python functions based on various data formats. This allows for data to be aggregated for further manufacturer-agnostic analysis.

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Find Your AI Solutions at the ODSC West AI Expo

ODSC - Open Data Science

Elementl / Dagster Labs Elementl and Dagster Labs are both companies that provide platforms for building and managing data pipelines. Elementl’s platform is designed for data engineers, while Dagster Labs’ platform is designed for data scientists. However, there are some critical differences between the two companies.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

An important part of the data pipeline is the production of features, both online and offline. Features (also called alphas , signals , or predictors ) are statistical representations of the data, which can then be used in downstream model building. All the way through this pipeline, activities could be accelerated using PBAs.

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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

Its sales analysts face a daily challenge: they need to make data-driven decisions but are overwhelmed by the volume of available information. They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels.

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