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Knowing about AI and Automation for Digital Transformations

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Knowing about AI and Automation for Digital Transformations

Artificial intelligence and automation are transforming businesses in the United States, and contribute to economic growth via to the ability to enhance productivity. More and more businesses and federal agencies are moving towards digital transformations. At the same time, artificial intelligence (AI) and automation are transforming the nature of work and the workplace itself. Machines and AI-integrated technologies will be able to carry out tasks seamlessly, and even perform more tasks done by humans. Organizations that are unable to transition themselves, or are unable to integrate AI and automation, will eventually decline, while others will grow and change with AI and automation. Today, organizations need to grapple with significant business challenges, or federal mandates. Organizations need to tackle the challenges of automation and using AI, they can help to resolve some of the critical issues of digitalization, keeping up with Internet of Things (IoT) technologies and making insightful decisions based on analytical information.

Accelerating Progress in AI and Automation

Automation in AI is not something new. For example, automation and AI are being integrated for document and records management systems. Recent technological innovations are pushing the frontier of what machines can do. Today, federal agencies in the US need to provide value to the customers by digitalizing their customer experience. These types of improvements can provide value for the business, streamline operations, enable business efficiency, contribute to economic growth, and make unimaginable progress on some of the most difficult challenges.

With the rapid digitization of Document Management, Records Management and a looming deadline in most lines of businesses to hybrid the management of paper and electronic information, it is essential to find a solution that provides not only an electronic copy of your paper record but an insight into and tool for finding the information you seek. Aretec’s platform, Context, can help you unify those worlds in a seamless fashion.

Context Automation

Nowadays, AI and automation goes beyond traditional approaches in business. With automation and advanced AI, new generations of more capable systems are appearing in the business world to make work easier. For example automated check-out processes, workflow automations, custom integrations with cloud solutions, video AI solutions for object detections, video summarization, document AI for text extraction, content summarization, keyword detection, and structured data extraction, to name a few. Much of the progress is driven by improvements in AI and automation systems, which includes mechanics, sensors, and software tools. One of such software AI tools is Context AI, which has the unique capability to integrate AI and automation for a variety of tasks. As automation and AI have become more sophisticated, and use faster and more efficient computing available in cloud environments, it is driving exponential growth to recognize data structures, and extract meaning information and key insights.

Context is a thoughtfully designed data science platform ideal for rigorous Records Management projects that can ingest Records in a variety of data formats (documents, images, videos, etc.) from a variety of data sources (cloud & on-prem, SaaS, etc.).

Context AI Capabilities

Context AI automates your data and processes your documents at scale. Context has been built with the features of providing a generic document analysis and retrieval, and supports specific formats of the document to often be processed in large batches by organizations. Context AI allows you to automate and validate documents to streamline workflows, reduce guesswork, and keep data accurate and compliant. Context AI matches a parser with your provided document and sees the quality of extraction. The output will be in the form of JSON format that will save in the context database to apply further analysis and generate the report from it. Context AI’s Human in the Loop feature suggests mistakes within the document retrieval that allow you to fix or change the data. Context AI learns from your changes and fixes to improve their document retrieval AI process day by day.

How AI and Automation can Help Organizations for their Document Management or Record Management Processes

Context can help organizations build an end-to-end records management solution that starts from the raw document and moves through our pipeline to extract high-value information by converting the unstructured data into structured data. Along with document parser integration, our custom pipeline has a user-friendly interface so that documents and extracted information can be interfaced with the existing business processes. In simple words, text, key-value pairs, and tables are all features from the PDF or any type of document that could be detected via Context AI. Traditional OCR-driven records management solutions do not offer the ability to automatically extract key-value pairs, a key differentiator for Context. Natural language processing (NLP) techniques allow context to learn and determine the output of the next event based on not only the current input but also previous input along with the time-series data you have uploaded in the context.

Transforming Businesses with the Help of AI and Automation

AI and automation can generate value in various sectors of the businesses. AI and automation in applications can be used for a different array of processes, to personalize their customer experiences. The technology can also help to detect anomalies in production, identify fraudulent transactions in financial institutions, and offer AI capabilities to address classifications, estimations, and resolve clustering problems.

Context Document Types

Context has added the support of multiple types of documents in their application. You can use those types of documents to retrieve your data and conduct the analysis on your data in the context. The type of documents parsers Context currently supports are listed below. Our team can also build custom parsers for any form in a matter of hours.

1-General Processors

  • Document OCR (Optical Character Recognition)
  • Document Splitter
  • Form Parser
  • Intelligent Document Quality Processor

 2-Contract Processors

  • Contract Parser

 3-Lending Processors

  • 1003 Parser
  • 1040 Parser
  • 1040 Schedule C Parser
  • 1040 Schedule D Parser
  • 1040 Schedule E Parser
  • 1099-DIV Parser
  • 1099-G Parser
  • 1099-INT Parser
  • 1099-MISC Parser
  • 1099-NEC Parser
  • 1099-R Parser
  • 1065 Parser
  • 1120 Parser
  • 1120S Parser
  • Bank Statement Parser
  • HOA Statement Parser
  • HUD-92900B Parser
  • Lending Document Splitter & Classifier
  • Mortgage Statement Parser
  • Pay Slip Parser
  • Retirement/Investment Statement Parser
  • SSA-89 Parser
  • SSA-1099 Parser
  • VBA26-0551 Parser
  • W2 Parser
  • W9 Parser

4-Procurement Processors

  • Expense Parser
  • Invoice Parser
  • Procurement Document Splitter & Classifier
  • Utility Parser

 5-Other Processors

  • France Driver License Parser
  • France National ID Parser
  • US Driver License Parser
  • US Passport Parser

Some of the benefits of using Context AI are:

  • It helps you get specified information from the scanned paper document and see it separately
  • It allows you to make quicker decisions based on information gleaned from various documents
  • It lets you convert your unstructured documents data to structured data to improve the efficiency of your work
  • You can ensure the accuracy of your data and that it complies with regulations, as well as optimize your workflow by automating the validating all your documents
  • Your structure data from context can be used to gain new insights about your products and meet customer expectations.