R+D+I Documentary

In today's digital era, Document Management has become a critical component for the efficiency and competitiveness of organizations. Research, Development and Innovation (R+D+i) in this field has led to the implementation of advanced technologies such as Robotic Process Automation (RPA), Artificial Intelligence (AI), Blockchain and Machine Learning, transforming radically change how companies manage, store and protect their documents.

Robotic Process Automation (RPA)
RPA is revolutionizing document management by automating repetitive and routine tasks that previously required human intervention. Software robots can perform actions such as data capture, document classification, and system integration quickly and accurately. This not only significantly reduces human error, but also frees up employees to focus on higher value-added tasks.

For example, in invoice management, RPA can automatically extract data from documents received by email, validate them against internal systems, and log the information to the corresponding platforms without human intervention. This automation streamlines the process and improves accuracy.

Artificial Intelligence (AI)
AI is taking document management to a new level by using advanced algorithms to understand and process documents more intelligently. AI systems can analyze large volumes of data to identify patterns and extract relevant information, thereby improving decision making.

A prominent use of AI in document management is the automatic categorization of documents. Using natural language processing (NLP) techniques, AI can read and classify documents based on their content, making it easier to organize and access information.

Blockchain
Blockchain offers an innovative solution for document security and authenticity. By creating an immutable, decentralized record of all transactions and changes made to a document, the blockchain ensures that information cannot be altered without leaving a trace.

In document management, blockchain can be used to verify the integrity of legal documents, contracts and financial records. Every modification is recorded on the blockchain, providing a complete and transparent audit that is virtually tamper-proof.

Machine Learning
Machine Learning, a branch of AI, focuses on the ability of machines to learn and improve from experience. In document management, Machine Learning can optimize processes through continuous data analysis and adaptation to new conditions without additional programming.

A practical example is the use of Machine Learning to improve search systems within a document database. As users search and select results, the system learns which ones are most relevant, refining its algorithms to provide more accurate and useful results over time.

Technology Integration
The combination of these technologies creates a robust and efficient ecosystem for document management. RPA can automate document capture and classification, while AI and Machine Learning continually analyze and improve these processes. At the same time, the blockchain ensures the integrity and security of the documents.

For example, an advanced document management solution could use RPA to collect documents from different sources, employ AI to extract and classify relevant information, use Machine Learning to optimize queries and searches, and blockchain to ensure that all documents remain authentic. and protected against alterations.

R&D&i in document management is driving a significant transformation in how organizations manage their information. The adoption of technologies such as RPA, AI, blockchain and Machine Learning not only improves efficiency and accuracy, but also offers an unprecedented level of security and adaptability.

Companies that invest in these technologies will be better positioned to face the challenges of the future, optimizing their document operations and providing significant added value to their customers and stakeholders. Continued innovation in this field promises to continue offering new and exciting opportunities for improvement and growth.

Contact us for more information at t-organiza@t-organiza.es

We have also worked on lines of research such as:

• 1. Document localization technology: RFID, NFC, QR, iBeacon, Bluetooth 4.0
• 2. Electronic documents, Digitization, Metadata Automation
• 3. ICR (Intelligent Character Recognition) for Handwritten Digitization
• 4. Digital Transformation in the Company. Smart Office through Electronic Invoice, EDI, Digitization, intelligent OCR, OMR
• 5. Cloud, Big data, Artificial Intelligence (AI), IOT
• 6. Blockchain and biometrics for the authentication and verification of our Digital Identity