Infrrd's AI-enabled Audit Automation
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Intelligent Document Processing (IDP) is a next-generation solution for extracting data from complex, unstructured documents. Unlike the technologies that came before it, IDP can handle document complexity and variation with the help of multiple AI technologies and machine learning.
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5. Validation and Feedback Loop
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1. Capture or Ingestion
2. Document Preprocessing
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According to Gartner, "The market for document capture, extraction and processing is highly fragmented. Data and analytics leaders should use this research to understand the process flow and differentiated capabilities offered by intelligent document processing solutions."
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https://hubs.ly/Q015rFcN0
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According to Gartner, "The market for document capture, extraction and processing is highly fragmented. Data and analytics leaders should use this research to understand the process flow and differentiated capabilities offered by intelligent document processing solutions."
Read More: https://hubs.ly/H0_z0fB0
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The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
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In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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