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Administering Data Fabric to Overcome Data Management Challenges.

Smart Data Collective

A data fabric solution must be capable of optimizing code natively using preferred programming languages in the data pipeline to be easily integrated into cloud platforms such as Amazon Web Services, Azure, Google Cloud, etc. This will enable the users to seamlessly work with code while developing data pipelines.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Microsoft Azure ML Platform The Azure Machine Learning platform provides a collaborative workspace that supports various programming languages and frameworks. You can define expectations about data quality, track data drift, and monitor changes in data distributions over time.

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How AI facilitates more fair and accurate credit scoring

Snorkel AI

Data scientists can train large language models (LLMs) and generative AI like GPT-3.5 to generate natural language reports from tabular data that help human agents easily interpret complex data profiles on potential borrowers. Improve the accuracy of credit scoring predictions.

AI 64
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How AI facilitates more fair and accurate credit scoring

Snorkel AI

Data scientists can train large language models (LLMs) and generative AI like GPT-3.5 to generate natural language reports from tabular data that help human agents easily interpret complex data profiles on potential borrowers. Improve the accuracy of credit scoring predictions.

AI 59
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Understanding Data Migration: A Comprehensive Guide

Pickl AI

Microsoft Azure Data Factory A cloud-based data integration service that allows users to create data-driven workflows for orchestrating data movement and transformation. Azure Data Factory supports a wide range of data sources and offers advanced features for data transformation.

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How AI facilitates more fair and accurate credit scoring

Snorkel AI

Data scientists can train large language models (LLMs) and generative AI like GPT-3.5 to generate natural language reports from tabular data that help human agents easily interpret complex data profiles on potential borrowers. Improve the accuracy of credit scoring predictions.

AI 52
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How and When to Use Dataflows in Power BI

phData

Attach a Common Data Model Folder (preview) When you create a Dataflow from a CDM folder, you can establish a connection to a table authored in the Common Data Model (CDM) format by another application. This path is essential for accessing and manipulating the CDM data within your Dataflow.