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Whether you're building a standard dashboard or using Spark to create advanced, AI-assisted visualizations, this guide will help you get up and running—fast.
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Spark provides two different coaching options (in addition to the options already covered under data modeling): Reference questions and Business terms
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The Coaching flow is a streamlined process designed to improve Spark's accuracy and consistency of results.
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This article details each step of setting up a Worksheet or Model, and will help your company reach the highest accuracy with our AI systems.
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Spark is a AI-powered search experience which uses GPT-3.5T, GPT-4T and GPT-4o, with the large language models (LLM) of Microsoft Azure OpenAI Service.
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Learn the best practices for custom AI Highlights analysis.
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Change your AI Highlights basic preferences.
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Our anomaly detection algorithm detects data which does not fall within the expected confidence intervals, while allowing for seasonal changes, variability, and growth over time.
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Compare any two data points in a visualization for change and identify key change drivers from the underlying attribute columns.
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Everywhere in Alchemer Dashboard where you can run AI Highlights analyze, you can configure a customized AI Highlights analysis.