Remove Azure Remove Internet of Things Remove ML
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ETL Pipelines With Python Azure Functions

Mlearning.ai

One of them is Azure functions. In this article we’re going to check what is an Azure function and how we can employ it to create a basic extract, transform and load (ETL) pipeline with minimal code. An Azure function contains code written in a programming language, for instance Python, which is triggered on demand.

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Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

Machine Learning Operations (MLOps) can significantly accelerate how data scientists and ML engineers meet organizational needs. A well-implemented MLOps process not only expedites the transition from testing to production but also offers ownership, lineage, and historical data about ML artifacts used within the team.

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13 More Companies Leading the Way in AI and Data Science

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 out a few of them below.

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The latest mobile app development technologies for 2024

Dataconomy

Machine learning frameworks Frameworks like TensorFlow Lite and Core ML allow developers to integrate machine learning models into mobile apps. Internet of Things (IoT) integration IoT platforms The integration of IoT in mobile apps is expanding, with platforms like AWS IoT and Azure IoT offering robust solutions.

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How IoT Can Be Connected to Business Intelligence

Smart Data Collective

Usually, companies choose a platform provided by one of the most well-known vendors like Amazon (AWS), Google Cloud, or Microsoft Azure. Today there are various tools that rely on ML and AI technologies which help them to understand the received data and further present them in a convenient format.

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Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem. Kai’s main area of expertise lies within the fields of Data Streaming, Analytics, Hybrid Cloud Architectures, and the Internet of Things.

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Public cloud use cases: 10 ways organizations are leveraging public cloud

IBM Journey to AI blog

Amazon Web Services (AWS), Google Cloud Platform, IBM Cloud or Microsoft Azure) makes computing resources (e.g., ready-to-use software applications, virtual machines (VMs) , enterprise-grade infrastructures and development platforms) available to users over the public internet on a pay-per-usage basis. What is a public cloud?