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KAPPA serverless metadata enrichment and AI data preparation for unstructured data management
KAPPA: A Serverless Approach to Metadata Enrichment and Unstructured Data Management
AI Context: The information a model uses at inference time, curated from unstructured data before it arrives.
AI Context

What Is AI Context? AI context is the information supplied to an AI model at the moment it generates a…

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Apache Parquet: The open, columnar file format for fast, low-cost queries on structured and semi-structured data.
Apache Parquet

What is Apache Parquet? Apache Parquet is an open-source, column-oriented file format for storing structured and semi-structured data. Instead of…

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AI Token: The unit LLMs read, generate, and bill by, and the reason enterprise data quality drives your AI costs.
AI Token

What is an AI Token? An AI token is the basic unit of text a large language model reads, processes,…

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Data Discovery: Indexing and inventorying file and object data across every storage system before it can be classified or used.
AI Data Classification

What Is AI Data Classification? AI data classification is the use of machine learning, pattern recognition, and metadata analysis to…

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Apache Iceberg: An open source table format that brings database-style reliability to data lakes, without moving unstructured data
Apache Iceberg

What Is Apache Iceberg Apache Iceberg is an open source table format that brings database style reliability to data stored…

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AI Data Platform glossary page featured image -- Komprise
AI Data Platform

What Is an AI Data Platform? An AI data platform is the software and infrastructure stack that makes enterprise data…

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The AI training dataset market is growing at 24% CAGR. But most enterprise data is unstructured, ungoverned, and out of reach for AI. Learn what it takes to change that at petabyte scale.
AI Training Data

What Is AI Training Data? AI training data is the dataset used to train, fine-tune, or evaluate a machine learning…

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AI hallucinations cost businesses $67.4 billion globally in 2024. For enterprise IT, the root cause is often poor data quality and ungoverned unstructured data. Learn what Komprise does about it.
AI Hallucination

What is AI Hallucination? AI hallucination is the phenomenon where an AI system generates output that is confidently stated but…

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60% of AI projects are abandoned for lack of AI-ready data. Learn what AI readiness means for unstructured data and how Komprise solves it at petabyte scale.
AI-Ready Data

AI-ready data is data that is accurate, complete, properly labeled, governed, and accessible in a format that AI and machine…

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Glossary definition: agentic AI systems autonomously perceive, plan, act and adapt to complete complex enterprise tasks. Komprise provides the governed unstructured data foundation through the Global Metadatabase, Deep Analytics, Smart Data Workflows and KAPPA data services
Agentic AI

What is agentic AI? Agentic AI refers to artificial intelligence systems that can autonomously perceive their environment, plan multi-step tasks,…

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AI Data Curation

What Is AI Data Curation? AI data curation is the process of identifying, filtering, classifying, enriching, and governing unstructured data…

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Glossary definition: AI cost optimization reduces storage, compute and inferencing costs for AI workloads by managing unstructured data smarter across the AI data lifecycle with Komprise
AI Cost Optimization

What is AI Cost Optimization? AI cost optimization is the practice of reducing the infrastructure, storage, compute, and operational costs…

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Glossary definition: AI data preparation curates, enriches and governs unstructured data for AI training, RAG pipelines and inferencing using Komprise Smart Data Workflows
AI Data Preparation

What is AI Data Preparation? AI data preparation is the process of discovering, filtering, organizing, enriching, and delivering the right…

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Related Terms

  • AI Data Curation
  • AI Data Ingestion
  • AI Data Management
  • AI Data Pipelines
  • AI Data Platform
  • AI Data Preparation
  • AI-Ready Data
  • Apache Iceberg
  • Data Discovery
  • Garbage In, Garbage Out (GIGO)
  • Global Metadatabase
  • KAPPA Data Services
  • MCP Bloat
  • Metadata Enrichment
  • Model Context Protocol (MCP)
  • RAG Pipelines
  • ROT Data
  • Transparent File Tables
  • Unstructured Data for AI
  • Unstructured Data Classification
  • Unstructured Data Preparation

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