AI for Data & Analytics
Training data, embeddings, vectors, and analysis
Master 7 essential terms
AI for Data & Analytics Terms
Vector Database
Vector databases explained simply. Learn how this technology powers AI search, chatbots, and recommendation systems that understand meaning, not just keywords.
AI for Data & AnalyticsLearn MoreEmbedding in AI
AI embeddings explained simply. Learn how embeddings help AI understand meaning, power semantic search, and enable smart chatbots for your business.
AI for Data & AnalyticsLearn MoreData Visualization
Data visualization explained for business owners. Learn how AI helps you turn spreadsheet data into charts and graphs that reveal the story in your numbers.
AI for Data & AnalyticsLearn MorePredictive Analytics
Predictive analytics explained for business owners. Learn how AI uses data to forecast customer behavior, sales, and business outcomes.
AI for Data & AnalyticsLearn MoreSentiment Analysis
Sentiment analysis explained for business owners. Learn how AI detects emotions in customer feedback, reviews, and social media mentions.
AI for Data & AnalyticsLearn MoreSynthetic Data
Synthetic data explained for business owners. Learn how artificially generated data helps with testing, AI training, and privacy compliance.
AI for Data & AnalyticsLearn MoreTraining Data
Training data explained for business owners. Learn how the data AI learns from affects its performance and how to work around limitations.
AI for Data & AnalyticsLearn MoreWhy AI for Data & Analytics Matters
Data is the fuel that powers AI. Understanding concepts like training data, embeddings, and vector databases helps you grasp why AI tools behave the way they do.
These terms are especially important if you're considering custom AI solutions or need to evaluate whether a tool's data practices align with your business needs.
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Now that you understand the concepts, find tools that use them.
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