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CI/CD for Data Pipelines: A Game-Changer with AnalyticsCreator

Data Science Blog

Support for Various Data Warehouses and Databases : AnalyticsCreator supports MS SQL Server 2012-2022, Azure SQL Database, Azure Synapse Analytics dedicated, and more. Data Lakes : It supports MS Azure Blob Storage. Pipelines/ETL : It supports SQL Server Integration Packages (SSIS), Azure Data Factory 2.0

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Process Mining – Ist Celonis wirklich so gut? Ein Praxisbericht.

Data Science Blog

Process Mining Tools, die als pure Process Mining Software gestartet sind Hierzu gehört Celonis, das drei-köpfige und sehr geschäftstüchtige Gründer-Team, das ich im Jahr 2012 persönlich kennenlernen durfte. auf den Analyse-Ressourcen der Microsoft Azure Cloud oder in auf der databricks-Plattform. Es gab noch einige mehr.

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Deploy a Microsoft Teams gateway for Amazon Q, your business expert

AWS Machine Learning Blog

Register a new app in the Microsoft Azure portal Complete the following steps to register a new app in the Microsoft Azure portal: Go to the Azure Portal and log in with your Microsoft account. Clean up When you’re finished experimenting with this solution, delete your app in Microsoft Teams, Bot Framework, and Azure portal.

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Behind the glory: the dark sides of AI models that big tech will not tell you.

Towards AI

Building natural language processing and computer vision models that run on the computational infrastructures of Amazon Web Services or Microsoft’s Azure is energy-intensive. The Myth of Clean Tech: Cloud Data Centers The data center has been a critical component of improvements in computing.

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All AI and Machine Learning Solutions Coming to ODSC Europe 2023

ODSC - Open Data Science

Microsoft Azure Comprising more than 200 products and cloud services, Microsoft Azure aims to meet organizations where they are (in the cloud, in-person, or a hybrid of the two) to help develop new business solutions. Check them out below.

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A comprehensive guide to learning LLMs (Foundational Models)

Mlearning.ai

YouTube Introduction to Natural Language Processing (NLP) NLP 2012 Dan Jurafsky and Chris Manning (1.1) Deploy LLMs in production Deploy Model Azure —  Use endpoints for inference — Azure Machine Learning | Microsoft Learn AWS + Huggingface —  Exporting ?

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How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Journey to AI blog

East2 region of the Microsoft Azure cloud and the historical data (2003 – 2018) is contained in an external Parquet format file that resides on the Amazon Web Services (AWS) cloud within S3 (Simple Storage Service) storage. Only the oldest historical data (2003–2012) had flight delays comparable to 2022.