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Streamlining Salesforce Data Integration: A Quick Guide with Dataworkz

Are you grappling with the challenge of consolidating customer data from various sources and seamlessly incorporating it into Salesforce? If so, you’re not alone. The …

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How to Evaluate Response of a RAG Empowered LLM

Years of relentless advancements in artificial intelligence have led us to a pivotal breakthrough: significantly enhancing the accuracy of Large Language Models (LLMs) and effectively …

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How Can Advanced Logical Plan Optimization Mitigate Data Skewness in Spark?

When working with massive datasets in Spark, processing billions of rows distributed across multiple cluster nodes, handling data skewness becomes a complex task. Skewed data …

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What is Data Skewness in Spark and How Does It Impact EL+T System Performance?

Data skewness is a common challenge faced by organizations processing extensive data using Spark’s EL+T (Extract, Load, and Transform) systems.  In this blog, we will …

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How can RAG Boost Customer Support in Modern Enterprises?

HubSpot research shows that 93% of customers remain loyal to companies providing excellent customer support, prompting businesses to seek improved service strategies.  AI-powered tools, including …

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How will Retrieval Augmentation Generation (RAG) Shape the Future of Business Intelligence?

Ever wished for a ChatGPT like question and answer interface that could give reliable answers to your business intelligence queries? Probably yes! Conversational AI, powered …

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