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From AI to NLP, explore key concepts and definitions shaping the future of intelligent automation.
Extracts text from images or scanned documents
Automates rule-based tasks through scripts or bots
Combines OCR, AI, and NLP to extract and classify data
Uses deep learning to interpret document meaning and context
Pattern Recognition
Rule-based Automation
Machine Learning, NLP, OCR
AI, NLP, Context Awareness
Text recognition only
Automating repetitive, structured tasks
Extracting and understanding data from structured & unstructured documents
Context-aware document interpretation
Fast and accurate for scanned text
Great for automating workflows & reducing manual work
Handles semi-structured & unstructured data effectively
Capable of analyzing meaning & intent in documents
Cannot understand context, only extracts characters
Limited to structured data, cannot process unstructured documents
Requires training data to improve accuracy
Computationally intensive and slower
Extracts text from a scanned invoice
Automates invoice processing but requires structured input
Classifies and extracts key fields from invoices, regardless of format
Reads contract terms, extracts obligations, and flags risky clauses
Welcome to Haystac’s comprehensive glossary. Below you’ll find a list of key terms and their definitions, designed to help you better understand the concepts behind our services and the technology we leverage.
Artificial Intelligence (AI) is transforming industries, but keeping up with its evolving terminology can be challenging. This glossary serves as your go-to resource for understanding key concepts in enterprise AI, automation, and intelligent document processing. Whether you’re exploring machine learning, NLP, or data governance, our definitions provide clear, concise explanations to help you stay ahead in the AI revolution. Use this guide to navigate the complexities of AI-powered business solutions and make informed decisions with confidence.
A set of rules or instructions designed to perform a task or solve a problem. Algorithms are the backbone of Haystac’s AI-driven processes.
The process of discovering, interpreting, and communicating meaningful patterns in data. Haystac provides advanced analytics tools for actionable insights.
A set of protocols and tools that allows software applications to communicate with each other. Haystac’s platform integrates seamlessly with APIs to connect your systems.
AI refers to the simulation of human intelligence processes by machines, especially computer systems. In the context of Haystac, AI powers advanced data extraction, pattern recognition, and automation.
A technology that streamlines document-centric workflows by automatically classifying, extracting, and validating data. Haystac’s IDP solutions optimize ADP for efficiency.
Labeling data in documents for AI training. Annotations help improve machine learning models used in IDP.
Extremely large datasets that require advanced tools to store, process, and analyze. Haystac enables organizations to handle and make sense of big data.
A decentralized, digital ledger used to record transactions. While not directly a focus of Haystac, blockchain can complement secure data management strategies.
The use of software and services to transform data into actionable insights. Haystac’s solutions are designed to enhance BI strategies.
Using technology to automate complex business workflows, reducing human intervention. IDP plays a key role in BPA by handling document-intensive processes.
The delivery of computing services—such as storage, processing, and software—over the internet. Haystac supports cloud-based solutions for scalability and accessibility.
An advanced form of data capture that combines AI, OCR, and NLP to extract meaning from unstructured documents. Haystac enhances cognitive capture for better accuracy.
Adherence to laws, regulations, and policies. Haystac ensures your data management practices comply with standards like GDPR and HIPAA.
A branch of AI that enables machines to interpret visual data from images and scanned documents. Haystac leverages computer vision for document recognition.
The analysis of digital content to extract meaningful insights. Haystac’s AI-driven tools excel in content analytics.
An IDP system’s ability to improve over time by learning from user corrections and feedback.
The practice of protecting systems and data from cyber threats. Haystac incorporates secure methods to safeguard sensitive information.
The process of storing historical data securely for long-term access. Haystac simplifies data archiving while ensuring regulatory compliance.
The process of extracting structured data from documents, images, or scanned files. Haystac automates data capture to enhance document workflows.
The organization of data into categories for efficient management. Haystac automates this process for better productivity.
Retrieving specific information from documents or databases. Haystac’s AI tools streamline data extraction with high accuracy.
A framework for managing data availability, integrity, and security. Haystac’s solutions enable robust data governance practices.
Protecting sensitive information from unauthorized access. Haystac helps organizations comply with privacy regulations like GDPR and CCPA.
The process of converting data from one format to another. Haystac automates data transformation for seamless integration into workflows.
A software system for storing, organizing, and tracking documents. Haystac enhances DMS capabilities with advanced search and analytics.
Sorting documents into predefined categories based on their content and structure. Haystac’s AI-driven classification improves organization and retrieval.
The process of converting paper-based documents into digital formats. Haystac enables seamless digitization with IDP.
Managing a document from creation to archiving, ensuring compliance and efficiency.
AI-powered extraction that adapts to variations in document structure without predefined templates.
A system that enables users to search across an organization’s data assets. Haystac’s enterprise search solutions ensure fast, accurate results.
A process in NLP that identifies key data points (names, dates, numbers) in a document.
A mechanism in IDP where documents that cannot be processed automatically are flagged for human review.
Predefined criteria for identifying and extracting data from unstructured content. Haystac leverages these rules to automate data workflows.
AI that provides transparency into how it makes decisions, ensuring trust in IDP systems.
The process of cataloging files for easy retrieval. Haystac’s technology enables rapid and accurate indexing across large datasets.
The management of multiple versions of a file. Haystac ensures version control for better document tracking.
A European Union regulation that governs data protection and privacy. Haystac helps organizations meet GDPR compliance standards.
A framework for aligning IT with business goals while managing risk and ensuring compliance. Haystac supports GRC initiatives with secure data management.
A cloud environment that combines on-premises and cloud-based resources. Haystac supports hybrid cloud integrations for flexibility.
A strategy for managing information throughout its lifecycle. Haystac supports governance with automated data organization and tracking.
The process of finding and extracting relevant data from a dataset. Haystac enhances retrieval with AI-powered search capabilities.
A network of interconnected devices that collect and exchange data. Haystac’s tools can process IoT-generated data when needed.
A subset of AI that enables systems to learn from data and improve over time. Haystac uses ML to enhance automation and insights.
Data about data, such as file creation date or author. Haystac uses metadata to improve data categorization and retrieval.
A strategy for managing information throughout its lifecycle. Haystac supports governance with automated data organization and tracking.
Technology that converts scanned documents into editable and searchable data. Haystac’s OCR capabilities streamline document digitization.
Software whose source code is publicly available. Haystac incorporates open-source technologies where applicable.
The use of data, statistical algorithms, and machine learning to predict future outcomes. Haystac integrates predictive analytics for better decision-making.
Using technology to automate repetitive tasks. Haystac specializes in automating workflows to save time and reduce errors.
Adhering to industry and legal standards. Haystac ensures your data management processes comply with relevant regulations.
A strategy for retaining data for a specific period. Haystac helps automate and enforce retention policies.
The ability of a system to handle increased workload. Haystac’s solutions are designed to scale with your business needs.
Data that is organized in a defined format, such as databases. Haystac works with both structured and unstructured data seamlessly.
A classification system used to organize information. Haystac supports custom taxonomies for improved data organization.
The process of extracting insights from text data. Haystac’s NLP capabilities power advanced text analytics.
Data that does not have a predefined format, such as emails or social media posts. Haystac specializes in extracting insights from unstructured data.
The access levels assigned to users for data and systems. Haystac ensures secure access through customizable user permissions.
The use of technology to streamline workflows. Haystac automates complex workflows to increase efficiency and reduce costs.