Glossary of Terms
Explore our comprehensive glossary to understand key terms and concepts related to our services and industry.
This section is designed to provide clear and concise definitions, helping you navigate and better understand the information we provide.
Artificial Intelligence
In named Entity Recognition (NER), data annotation consists in locating, extracting and tagging proper names entities in text. Entity annotation teaches NLP models how to identify named entities within a text.
An Application Programming Interface (API) is a set of rules and protocols that allows different software applications to communicate with each other. APIs enable the integration of various systems, facilitating data sharing and functionality enhancement, which improves user experiences and operational efficiency.
A Central Clearing Counterparty (CCP), otherwise known as a Central Counterparty, is a highly regulated financial institution that is responsible for managing counterparty credit risk between parties in a transaction. This institution also provides clearing and settlement services for trades in foreign exchange, securities, options, and derivative contracts.
The Commodity Futures Trading Commission (CFTC) is an independent agency of the United States government that monitors and regulates the U.S. derivatives markets, encompassing futures, swaps, and specific types of options.
A Chatbot or chatterbot is a software application used to conduct an on-line chat conversation via text or text-to-speech, in lieu of providing direct contact with a live human agent.
CRUD stands for Create, Read, Update and Delete, which are the four basic operations of persistent storage.
An Entity known as a Derivatives Clearing Organization (DCO) allows individuals involved in an agreement, contract, or transaction to replace the credit of the parties with the credit of the DCO. Furthermore, the DCO provides multilateral settlement or netting of obligations and other services to mutualize or transfer credit risk among participants.
Distributed search is a model in which the tasks of data crawling, Indexing and query processing are distributed among multiple nodes and networks.
Distributed databases are usually non-relational databases that enable quick access to data over many nodes.
A Domain-Specific language, or DSL, is a language optimized for a specific class of problems. A DSL uses the concepts and rules from the field or domain.
In machine learning, an Entity corresponds to any word or series of words that consistently refers to the same thing. Every detected Entity is classified into a predetermined category.
ESMA, the European Securities and Markets Authority, is located in Paris and is an independent EU Authority. Its mission is to enhance the functioning of securities markets in Europe, protect investors, and promote collaboration between national authorities through legislation and regulation.
Full-text search refers to searching for some text inside extensive text data and returning results that contain some or all the words from the query. In contrast, traditional search would return exact matches.
Like all collective acts, it’s important for the participants to establish what they both agree on, called the common ground common ground Grounding. Speakers do this by Grounding each other’s utterances.
The primary objective of the Hong Kong Monetary Authority (HKMA), as Hong Kong's central banking institution, is to maintain the stability of the Hong Kong currency and banking system. Additionally, the HKMA is responsible for advancing the efficiency, integrity, and development of the financial system.
A database index is a data structure that improves the speed of data retrieval operations on a table. Indexes are used to quickly locate data without having to search every row every time a table is accessed.
Intent recognition or intent classification is the task of taking a written input, and classifying it based on what the user wants to achieve.
Metadata describes data, but it is not the data itself. Author, creation date, modification date and file size are examples of very basic document file metadata.
After building a model, it is necessary to find metrics to measure the goodness of it. The model's performance is generally monitored on new instances that were not a part of the training data.
The goal of Model training is to fit the best combination to a machine learning algorithm to optimize it. The purpose is to build the best mathematical representation of the relationship between data features and a target label.
Natural Language Processing, or NLP, is a discipline that focuses on the understanding, manipulation and generation of natural language by machines.
Not Only SQL databases, shortened to NoSQL, store data differently than relational tables. NoSQL databases come in a variety of types based on their data model. The main types are document, key-value, wide-column, and graph. They provide flexible schemas and scale easily with large amounts of data and high user loads.
OTC (Over The Counter) business is the buying and selling of financial products directly between two parties, without going through a traditional exchange or intermediary. OTC transactions are usually conducted via phone or online platforms, and involve a variety of products such as stocks, bonds, derivatives, and commodities. These transactions are usually tailored to the specific needs of the parties involved, and are not subject to the same regulation as traditional exchanges.
RegTech ("Regulatory - Technology") represents one of the key businesses in the Fintech ecosystem. These companies offer services to the banking industry based on innovative technologies such as artificial intelligence, Big Data or the Cloud.
Sequence of symbols and characters expressing a string or pattern to be searched for within a longer piece of text.
Request For Quote.
RFQs are requests for quotations wherein an organization asks possible suppliers or service providers to submit their prices and provide goods or services.
Reduce the cost of RFQs by automating them
Robotic Process Automation (RPA) is a technology that allows businesses to automate manual, repetitive tasks by creating software robots, or “bots,” to do them instead. RPA bots can be used to complete a variety of tasks, including data entry, responding to customer inquiries, and processing transactions. Read More about RPA
The International Monetary Fund (IMF) defines and maintains Special Drawing Rights (SDRs, code XDR) as supplementary foreign exchange reserve assets.
Analyzers are the algorithms that determine how a string field in a document is transformed into terms in an inverted index. The goal of analyzer is to convert a string into a series of tokens.
A Swap Execution Facility (SEF), also known as a Swaps Execution Facility, is an electronic platform that facilitates the trading of financial swaps between eligible participants. It features pre-trade information such as bid and offer prices, as well as a mechanism for executing transactions.
Sentiment analysis, or opinion mining, is an NLP technique used to determine whether data is positive, negative or neutral in texts. It can be used, for example, by businesses to gauge brand reputation, customers understanding, and so on.
Definition of a user in such a way as to be able to identify him or her with certainty and to provide information on a number of characteristics (work area, e-mail address, etc.)