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Optimizing Demand Forecasting in the Utility Industry with GenAI

RandomTrees

In the utility sector, demand forecasting is crucial for customer satisfaction with energy services, ensuring the efficiency of operations and using the funds in a correct manner. This article explains the phenomena of GenAi in utilities: how it improves the processes of energy forecasting, operations, and decision-making.

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Booting in Operating System: Definition, Types and Process

Knowledge Hut

The operating system is loaded via a bootstrapping procedure, often known as booting. Every computer has a boot process. An operating system or other larger program, such as a boot loader, is loaded by this application. The process of booting involves turning on a computer. What is Booting in Operating System?

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Multiprogramming Operating System: Types, Features & Examples

Knowledge Hut

An operating system that allows multiple programmes to run simultaneously on a single processor machine is known as a multiprogramming operating system. Imagine that I/O is a part of the process that is currently running (which, by definition, does not need the CPU to be accomplished). context switching).

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Feature Caching for Recommender Systems w/ Cachelib

Pinterest Engineering

Manager, Engineering | At Pinterest, we operate a large-scale online machine learning inference system, where feature caching plays a critical role to achieve optimal efficiency. Background Recommender systems are fundamental to Pinterest’s mission to inspire users to create a life they love.

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Movie Recommendation System: Definition, Strategies, Usecase

Knowledge Hut

Not only could this recommendation system save time browsing through lists of movies, it can also give more personalized results so users don’t feel overwhelmed by too many options. What are Movie Recommendation Systems? Recommender systems have two main categories: content-based & collaborative filtering.

Systems 98
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Stream Processing with Python, Kafka & Faust

Towards Data Science

How to Stream and Apply Real-Time Prediction Models on High-Throughput Time-Series Data Photo by JJ Ying on Unsplash Most of the stream processing libraries are not python friendly while the majority of machine learning and data mining libraries are python based. This design enables the re-reading of old messages.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms.