Dutch 
English 
French 
Intelligente documentverwerking (IDP): Een uitgebreid overzicht
In today’s technologically advanced world, businesses and organizations constantly seek ways to streamline operations and increase efficiency. That’s where intelligent document processing comes in – a revolutionary software that automates extracting valuable data from complex documents. This technology allows businesses to quickly digitize and process their documents, saving time and resources. A critical component of intelligent document processing is optical character recognition, or OCR, which enables the software to recognize text within scanned documents. OCR technology is key to the success of this automated process, allowing for accurate data extraction from a wide range of documents. With intelligent document processing and OCR technology, businesses can stay ahead of the curve and increase productivity like never before. What is IDP or Intelligent Document Processing? It’s a machine-learning process. Intelligent document processing (IDP) specializes in extracting information from various document formats, automating the processing of unstructured or semi-structured data to organized data. This streamlines business processes and delivers substantial time and cost savings. IDP stands out as a cutting-edge solution in the realm of document management. Document Preparation in Intelligent Document Processing (IDP) The document preparation phase within Intelligent Document Processing (IDP) is a crucial pre-processing step that lays the foundation for accurate and efficient data extraction. In this phase, advanced software employs intelligent algorithms to clean and meticulously enhance the quality of documents. Tasks encompassed in document preparation include the reduction of noise, such as marks or stains, correction of orientation through rotation, cropping, adjustment of brightness, and more. Leveraging Optical Character Recognition (OCR) techniques, the goal is to optimize document clarity and order before initiating the IDP process. This meticulous preparation ensures that the subsequent stages of IDP, including classification and extraction, operate on a refined and standardized dataset, ultimately contributing to the overall accuracy and efficiency of the document processing workflow. The Five-Step Process of IDP: Document Collection: Gather and arrange all documents, considering both paper-based and digital formats. Preparation: Using OCR techniques, intelligent software cleans, rotates, crops, and enhances document quality. Classification: Documents are categorized, aiding in the selection and processing of relevant data. Extraction: Visual and textual data are extracted, leveraging AI to understand and ensure 99% accuracy. Validation: Data undergo review by AI and humans, with Machine Learning correcting mistakes and standardizing information. Intelligent Document Capture or Extraction IDP’s core lies in intelligently capturing and extracting crucial information from diverse document types. This process transcends traditional manual efforts, offering automation that ensures accuracy and efficiency in handling contracts, agreements, invoices, claims, reports, and other document forms. RPA, OCR & IDP While Optical Character Recognition (OCR) and Robotic Process Automation (RPA) excel in structured documents, IDP extends the capabilities to handle documents with random structures. IDP, complementing OCR, uses AI-based technologies to understand document content, detect variations, and accurately capture data, thereby taking automation to a new level. The process includes extraction from table data and interpretation of that data, allowing for a more nuanced understanding of complex document structures. Moreover, IDP facilitates cross-checking of documents that belong to the same case, ensuring data coherence and accuracy. Both RPA and OCR find enhanced effectiveness when coupled with IDP. The marriage of these technologies ensures a comprehensive and adaptive approach to document processing, bridging gaps in handling documents with diverse structures. This holistic integration provides a robust solution for organizations seeking efficient and accurate document processing across a spectrum of formats and complexities. Intelligent Document Processing Use Cases IDP unfolds its capabilities across various use cases, addressing critical business challenges. From streamlining e-mail processing and automating the collection of documents to classifying and extracting data from incoming mail, IDP offers versatile solutions. Additionally, it plays a pivotal role in sensitive data storage and usage, ensuring GDPR compliance through automated anonymization. Handling E-mails: IDP streamlines e-mail processing, particularly beneficial for managing attachments and complex e-mails. Collecting Documents: Relieve clients of repetitive tasks by allowing them to upload documents; in turn, you can extract data and connect it to specific cases. Classification and Extraction of Incoming Mail: Automate document classification and data extraction, saving up to 60% of time, and enhancing mailroom efficiency. Sensitive Data Storage and Usage (GDPR Compliance): IDP ensures automated anonymization for GDPR compliance, recognizing and anonymizing sensitive information in real time. Document Processing Solutions For organizations seeking robust document processing solutions, IDP emerges as a transformative choice. By understanding the five-step process of IDP—document collection, preparation, classification, extraction, and validation—businesses can embrace a comprehensive solution that meets and exceeds modern document management’s expectations. As a strategic move, implementing IDP becomes crucial for organizations looking to advance their processes, meet evolving business needs, and ensure compliance with data protection laws.
Bankzoemwoorden
Fluency in this language is more than just a means of communication; it’s a tool for unlocking opportunities, fostering professional growth, and exuding confidence in an industry where precision is paramount. Understanding banking terms and definitions is crucial for making informed financial decisions. Whether you’re managing personal finances, applying for a loan, or considering investment opportunities, having a grasp of banking terminology can significantly impact your financial well-being. New Banking Words As new technologies continue to emerge, so do new banking terms. Staying current with these innovations is crucial, especially considering the simultaneous emergence of new banking regulations. Adapting to these changes is essential for navigating the rapidly evolving landscape of modern finance, ensuring that individuals and businesses can make informed decisions in an environment shaped byboth technological advancement and regulatory updates. We’ve made an overview of the most common banking terminology you can find at the moment ones: Green Finance: the banks issue loans to sustainable projects such as solar energy, hydropower, and reducing greenhouse gas emissions. FinTech: FinTech, an acronym for financial technology, refers to the creative application of technology in the financial industry. Its impact extends beyond banking to encompass domains such as investment management, insurance, and personal finance applications. P2P LEnding: Peer-to-peer lending services are revolutionising lending and borrowing beyond traditional banking channels by enabling direct loans between individuals. The way that people access and provide financial resources is evolving due to this decentralised approach. NeoBanks: Neobanks, sometimes known as “digital banks,” don’t have any traditional physical branches; they only do business online. With user-centric and cutting-edge technology services, their rise is upending the banking industry and posing a threat to established banking structures. Microfinance: Originally intended to empower marginalised populations, microfinance has expanded to have a wider social impact than just banking. It entails offering financial services, such as savings accounts and small loans, to those living in underprivileged economic zones. To get the loan, the borrower approaches the bank for loan origination, and the bank processes it according to its internal criteria. Crowdfunding: Crowdfunding, which has its roots in group funding, has ramifications for online banking. This kind of funding has become relevant in several sectors, encouraging enterprises and community-supported initiatives. Amortisation: Amortization is a concept frequently seen in loan repayment plans that describes how debt is gradually reduced over time. This idea is not limited to banks; it may be used when a debt is slowly repaid. Regtech is the abbreviation of regulatory technology. The bank develops an IT-based system to check if there is any irregularity or exception against the regulatory requirements. Customer journey: every step involved in the customer’s experience, starting with opening an account, filling out forms, and applying for a loan. It might also cover the post-service activities. A customer journey map is a visual representation of all these digital phases. Request to pay: This is a digital payment request made by the payee to the payer. The request for a specific transaction can be made via a mobile banking app or an online transaction app. As soon as the payer receives the digital request, he can accept or reject the payment request. Mobile first: With the development of the banking sector, customers can now remotely open bank accounts using mobile apps. They can easily complete routine tasks with the help of this cutting-edge, scalable technology infrastructure. PSD2 stands for Second Payment Services Directive.PSD2 is a European regulation aiming to make electronic payments safe and protect consumers. Thus, PSD2, according to these regulations, the real costs and charges of transferring money abroad while benefiting all banking and payment parties. AML: stands for Anti-money Laundering. It is a procedure of laws and guidelines designed to deter and prevent financial crimes. Embedded Finance: Integrating financial services into non-financial offerings is known as embedded finance. It could have to do with financing, handling payments, or insurance. A shopping mall`s branded credit card, a local gym app that allows one-click payments, or an online retailer offering insurance are a few instances of embedded finance. Banking as a Service: Embedded finance is when financial services are incorporated into non-financial offerings.. It could have to do with financing, handling payments, or insurance. A shopping mall`s branded credit card, a local gym app that allows one-click payments, or an online retailer offering insurance are a few instances of embedded finance. Buy Now Pay Later (BNPL) This kind of purchase is made, but the payment is made at a later predetermined time. It is a brief financing period that typically carries no interest. These payments can be made in one of two ways: through a third-party BNPL provider or a contract the banks make with the businesses. This third party might be a go-between for the company and the lender. – Crypto Asset: These are assets in the digital realm. They can be electronically transferred or stored. These are entirely digital assets, and ownership is established through public ledgers. Fiat Currency It is actual money that the government issues on a national level. Any commodities do not support it and is lawful. Paper money or coins are an example of fiat currency. – Robo Advisor: It creates, tracks, and automatically rebalances a diverse portfolio per your objectives. It is an inexpensive online investing platform that uses algorithms in software. It provides financial guidance on investments, including automated portfolio management. – Metaverse: The clients can perform a range of tasks remotely thanks to the metaverse’s virtualisation of banking and financial services. The Metaverse improves convenience and eliminates physical branch visits from cash transactions to communication with advisors, employees, and banking services. Common Banking Terms Glossary Understanding the banking fundamentals is crucial to financial literacy in finance’s large and occasionally confusing world. The table below focuses on the glossary of crucial banking terms used regularly and clarifies their definitions. Government agencies have legislated standards and processes that control these phrases, so they are not arbitrary. In addition to fostering stability within the financial system,