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Real-time Challenges of Machine Learning Projects

Analytics Vidhya

Introduction Machine learning projects can be extremely challenging in the IT industry. The post Real-time Challenges of Machine Learning Projects appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Databricks Launches Simplified Real-Time Machine Learning for the Lakehouse

insideBIGDATA

Databricks, the lakehouse company, announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the complexity of building and maintaining complicated infrastructure for intelligent applications.

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Feature Stores for Real-time AI & Machine Learning

KDnuggets

Real-time AI/ML is on the rise and feature stores are key to successfully deploying them. Read on to see how the choice of online store and the feature store architecture play important roles in determining its performance and cost.

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Bloomberg Revolutionizes Bond Market with Machine Learning-Driven Real-Time Pricing | Cryptopolitan

Flipboard

• Bloomberg introduces IBVAL Front Office, using machine learning for real-time pricing of 30,000 U.S. corporate securities. IBVAL predicts prices every …

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Real-time fraud detection using AWS serverless and machine learning services

AWS Machine Learning Blog

Detecting fraud closer to the time of fraud occurrence is key to the success of a fraud detection and prevention system. In this post, we show a serverless approach to detect online transaction fraud in near-real time. This pattern can be useful for real-time fraud detection, notification, and potential prevention.

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Real-Time Machine Learning: Edge computing in Action

Mlearning.ai

Unlock the Power of Real-time Processing with Edge computing in Machine Learning — Use Cases, Benefits and Beyond Edge computing is a distributed computing approach that brings computation and data storage to the forefront , rather than relying on a centralized data centre.

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Real-Time Data in Machine Learning: Challenges and Solutions

Dataversity

There are instances in which real-time decision-making isn’t particularly critical (such as demand forecasting, customer segmentation, and multi-touch attribution). However, when you need real-time automated […]. The post Real-Time Data in Machine Learning: Challenges and Solutions appeared first on DATAVERSITY.