AI

Data Engineering for AI: How to Build the Infrastructure for Machine Learning

IT / Nileema Nimbalkar / March 30, 2025 / AI, AIInfrastructure, BigData, CloudComputing, DataAutomation, DataEngineering, DataGovernance, DataInfrastructure, DataOrch, DataPipelines, DataProcessing, DataScience, DataStorage, DataTransformation, ETL, MachineLearning, RealTimeData, ScalableSystems

In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have rapidly evolved from futuristic concepts to essential technologies across industries. From self-driving cars to personalized recommendations, AI is transforming […]

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How Data Engineering Fuels Data Science and Machine Learning

IT / Nileema Nimbalkar / March 30, 2025 / AI, BigData, CloudComputing, DataAnalytics, DataDriven, DataEngineering, DataOps, DataPipelines, DataQuality, DataScience, DataStorage, DataTrans, ETL, FeatureEngineering, MachineLearning, MLInfrastructure, MLModelDeployment, RealTimeData, TechInnovation

Data science and machine learning (ML) have revolutionized how organizations make decisions, offering insights and predictive capabilities that drive innovation and efficiency. However, these disciplines rely on one essential backbone:

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Understanding AI, ML, RAG, NLP, and LLM

Technology / Nileema Nimbalkar / December 6, 2023 / AI, ML, RAG

Introduction In today’s rapidly evolving technological landscape, there are several acronyms that have gained significant attention and importance. This article aims to shed light on some of the commonly used

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