According to a recent IDC report, unstructured data is projected to account for 80% of the world’s data by 2025, posing challenges in efficient processing and insights extraction.
Unstructured data is data needing a specific, predefined data model or organization. Unlike structured data, which fits neatly into tables, rows, and columns (typical of relational databases), unstructured data does not conform to a specific format or structure. This data type is typically more challenging to analyze, process, and manage using traditional methods because it needs a well-defined schema.
The challenge with unstructured data lies in extracting meaningful information from it. Using advanced techniques like natural language processing (NLP), image recognition, and machine learning to process and analyze unstructured data enables organizations to derive valuable insights and make informed decisions based on this previously untapped information.
The battle against information overload unites businesses, organizations, and agencies in today’s digital whirlwind, with a common need hindering efficient processing and insight due to the surge of unstructured data within documents. The rise of unstructured data within documents has hindered efficient processing and insights. Enter AI/ML-powered Document Intelligence: a game-changing fusion of Artificial Intelligence (AI) and Machine Learning (ML). This innovation deciphers text, revealing concealed treasures.
Join us as we delve into the impact of Document Intelligence on our Knowvation™ software. Uncover its use cases, applications, and improvements in industries and sectors. With Knowvation, you can deal with large volumes of textual information.
PTFS’ transformative technology encompasses a range of functions, including document classification, extraction, recognition, and sentiment analysis. Through advanced machine learning algorithms, you can train Document AI/ML systems to recognize patterns, structures, and content within documents, enabling the categorization of documents based on their type, content, or context. Moreover, Document Intelligence can extract specific information, such as names, dates, and important keywords, from documents, streamlining data entry and reducing human error.
What sets Knowvation™ apart from other AI software is its unique differentiator: the incorporation of federated indexing. This powerful feature allows Knowvation’s software to excel in data location, ensuring the efficient extraction of valuable insights from various sources within a collection of files and documents.
Judicial Data Management with AI/ML Solution
When PTFS successfully secured a contract with Orange County Superior Court, we embarked on an AI/ML-driven endeavor for implementing document intelligence to achieve document classification in criminal court cases. In contrast to conventional methods, our innovative software solution prioritized content analysis over form recognition, ensuring adaptability to evolving document formats. The model operates as a semi-self-trained system, continuously refining its performance through document ingestion and classification. The approach involves a two-step process: term frequency-inverse document frequency (TF-IDF) identifies potential categories, and k-nearest neighbors (kNN) verify and calculate confidence scores. Beyond automatic document classification, the solution features a customizable user interface for manual review. This interface provides users with document displays and pertinent metadata, facilitating verification and enabling corrections. The Knowvation™ search interface assesses classification accuracy and orchestrates workflows. Figure 1 depicts how PTFS solved Orange County California Superior Court judicial data management needs for legal document classification and redaction.
Figure 1: An overview of the Orange County California Superior Courts project.
Knowvation’s user-friendly graphical interface highlights redactions and enables users to validate and train its AI model. The Knowvation™ Document Classification Dictionary simplifies adding new document types that previously required manual classification for system training. The solution empowers bulk document classification tests, whether automated or manual, targeting specific types or the entire library. Each classification job encompasses success indicators and confidence ratings, ensuring the reliability of the AI-powered process. Figures 2 through Figure 5 depict Knowvation’s innovative capabilities that set PTFS apart from other software and service providers with our search interface, document classification features, and redaction capabilities.
Figure 2: Knowvation’s search interface allows users to quickly identify how well document classifications are performing and serves as a central hub from which additional workflows can be started and managed. You can use this to identify and classify documents.
Figure 3: Our intuitive interface determines how well the document classification and subsequent redactions get applied to each document. The system highlights words for redaction, allowing the user to both QC and train the model.
Figure 4: Knowvation’s Document Classification Dictionary makes it easy for administrators to add new document classification types. Quickly train the system by manually classifying a few documents to provide the model with training data.
Figure 5: Bulk document classification tasks can be run automatically or manually and can run on either one type of document at a time or on the entire library. Each classification job includes a success or failure message status and confidence number.
Applications of Knowvation™ in the Orange County Superior Court and Beyond
Knowvation™ revolutionizes judicial data management by automating crucial processes, leading to rapid case resolution and expungement processing for thousands. Our platform’s workflow software processes cases within seconds, enhancing the speed of expungement processing and significantly reducing latency in case resolution.
The project encompassed two vital activities: Document Classification and Marijuana Content Redaction and streamlining the handling of the Court’s extensive array of intricate legal documents. Orange County employs numerous document types, ranging from single page to extensive multi-page documents. Knowvation™ delivered an AI-enhanced Content Services Platform (CSP) to the Court, featuring a comprehensive suite of document intelligence capabilities.
Knowvation Use Cases by Key Sectors
Knowvation’s capabilities in data redaction and document intelligence apply to a broad canvas of applicability across five diverse sectors. These sectors include pharmaceutical and life sciences, financial services, law enforcement, government, and IT & Operations. In each domain, the power of Knowvation™ shines as it harnesses advanced machine-learning algorithms to decipher complex document landscapes. The software’s ability to recognize patterns, structures, and content within documents enables precise categorization based on various parameters, such as document type, content specifics, or context. Moreover, Knowvation’s Document Intelligence prowess extends to extracting vital information like names, dates, and critical keywords. In addition, the software stands out due to its unique differentiator: the integration of federated indexing. This feature empowers Knowvation™ to excel in data location, facilitating the efficient extraction of crucial insights from diverse sources within extensive collections of files and documents.
Figure 6: Data Redaction and Document Intelligence Applications
Knowvation’s powerful application features benefit these critical domains with AI/ML and Federated Indexing in the following ways:
- Pharmaceutical and Life Sciences:
- In the complex pharmaceutical and life sciences landscape, sensitive information is abundant across research papers, clinical trials, and regulatory documents. Leveraging Knowvation’s advanced machine learning algorithms, Document AI/ML systems can learn how to navigate intricate data patterns, providing precise categorization of documents based on their scientific type, therapeutic area, or research focus. Moreover, Document Intelligence extracts critical details, such as drug names, trial dates, and therapeutic outcomes, expediting data entry and minimizing human error. What truly sets Knowvation™ apart is its federated indexing, enabling efficient data location across diverse sources. Our federated indexing ensures rapid access to relevant insights, propelling drug discovery and compliance efforts.
- Financial Services:
- In the financial realm, compliance and data privacy are paramount. AI-powered redaction by Knowvation™ employs advanced algorithms to recognize confidential patterns and structures within financial documents. This facilitates categorization based on document types like financial statements or transaction records while extracting sensitive data like account numbers and personal identifiers. Incorporating federated indexing distinguishes Knowvation™, allowing financial institutions to swiftly identify critical information across diverse data repositories, ensuring regulatory compliance, and safeguarding customer confidentiality.
- Law Enforcement:
- For law enforcement agencies, efficient document analysis can make a difference. Knowvation’s Document AI/ML capabilities decode textual content from incident reports, legal documents, and case files. Advanced machine learning algorithms enable the system to identify patterns, aiding categorization by crime type, involved parties, and case status. Specific data points such as names, dates, and locations are extracted for streamlined data entry, reducing errors in criminal justice processes. The software’s federated indexing further accelerates data retrieval, transforming investigations with timely insights.
- In governmental contexts, managing vast document repositories is a challenge. Knowvation’s AI-powered redaction utilizes advanced algorithms to comprehend complex legislative, administrative, and policy documents. By using these advanced algorithms, you can achieve accurate categorization based on document types, legal clauses, or regulatory sections. Document Intelligence extracts crucial data, such as dates, references, and legal terms, simplifying data entry tasks. Knowvation’s distinctive federated indexing empowers efficient data location across departments, enhancing public service efficiency through quick access to vital information.
- IT & Operations:
- Within IT and operational domains, document-driven insights are pivotal for decision-making. Knowvation™ employs advanced machine learning algorithms to decipher technical documentation, extract critical patterns, and structure data around software versions, configurations, or troubleshooting steps. Document Intelligence further captures specifics like error codes and implementation dates, streamlining data entry and error reduction. Incorporating federated indexing by Knowvation™ guarantees rapid data location across dispersed repositories, accelerating IT support and operational efficiency.
The Potential of AI/ML-Powered Document Intelligence
The fusion of AI and ML technologies within Knowvation™ opens a gateway to unparalleled document management and analysis potential. Our innovative approach equips businesses and organizations with the tools to transcend the limitations of traditional data processing, transforming raw information into actionable insights. By leveraging AI algorithms, Knowvation™ swiftly and accurately sifts through vast unstructured data, extracting relevant patterns, keywords, and contextual nuances that might otherwise remain hidden. This newfound capability empowers users to harness the full spectrum of their document knowledge, enabling more informed decision-making, streamlined workflows, and enhanced team collaboration. As AI/ML-powered Document Intelligence continues to evolve, its potential to revolutionize industries by driving efficiency, innovation, and strategic growth remains promising and transformative.
The Competitive Benefits of Knowvation’s Capabilities
Integrating AI/ML-powered Document Intelligence with Knowvation™ bestows many benefits that ripple through every facet of business operations. First, the rapid and accurate data processing capabilities significantly reduce the time and effort required for information extraction, granting organizations the luxury of reallocating resources to higher-value tasks. The advanced comprehension abilities of AI/ML-driven algorithms facilitate a deeper understanding of document content, leading to more precise categorization, faster retrieval, and informed decision-making. Additionally, the enhanced data organization and accessibility facilitated by Knowvation™ fosters seamless collaboration among team members, breaking down silos and accelerating project timelines.
`Figure 7: Benefits of AI/ML-Powered Document Intelligence
Ultimately, the combination of AI, ML, and Knowvation™ not only amplifies the efficiency of document management but paves the way for a new era of insights-driven innovation, thus solidifying its status as a pivotal tool for the modern information age.
Knowvation DX™ is a document declassification solution developed based on PTFS’ extensive experience in declassification and FOIA operations for Government agencies. Knowvation DX is the only product on the market focused on declassification automation and precise redaction using a semi-automated approach.
Key features of Knowvation DX™ include:
- Increased productivity—Knowvation DX increases productivity with semi-automated reviews that are ten times faster than manual processes. The technology assisted process helps the reviewer focus on the context of sensitive or “dirty” words that are discovered. Knowvation DX increases productivity with semi-automated reviews that are ten times faster than manual processes. The technology-assisted process helps the reviewer focus on the context of discovered sensitive or “dirty” words.
- Pinpoint accuracy removing information—Knowvation DX improves accuracy and reduces the risk of exposing sensitive information. Our technology-assisted process permanently removes sensitive information and its associated metadata to ensure no sensitive content is released.
- Flexible workflow—. The workflow application reduces the time required to make system workflow changes. Automated rules define required processes and reduce missteps. Administrators can quickly revise our Java-based workflow engine to allow the workflow to adapt to changing needs and remain coordinated with new requirements.
AI-Enhanced Document Intelligence in Action.
Applying AI to Document Intelligence enables ML to extract text and fundamental values automatically. Organizations can then focus on acting on information instead of just compiling it. The Knowvation™ AI capabilities extract valuable data and coupled with optical character recognition (OCR), pull out precisely what organizations need from their multitude of files.
When you can spend more time making decisions and less on manual document processing, you can act quicker and accelerate your outcome.
- Science Direct: Federated Search (Source)
- The Library of Congress: Federated Search Portal Products & Vendors (Source)
- Gartner: Federated Search (Source)
- Gartner: Redaction (Source)
- EasyTechJunkie: What is a Federated Search? (Source)
- McGill School of Information Studies: Federated Search (Source)
- G2: Structured vs. Unstructured Data: What’s the Difference? (Source)
- TechTarget: Unstructured Data (Source)
- Forbes: The Unseen Data Conundrum (Source)
- Solutions Review: 80 Percent of Your Data Will Be Unstructured in Five Years (Source)
- International Data Corporation: Worldwide Global DataSphere and Global StorageSphere Structured and Unstructured Data Forecast, 2022–2026 (Source)