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Omnis, Inc.
Omnis, Inc. is an American technical and scientific consulting and training firm. It also has a concentration in market intelligence and the emerging field of threat finance. It was founded in 2004 and has clients in government, academia and private industry. The company is located in McLean, Virginia, near Washington, D.C. Technology research and consulting Omnis, Inc. is a global consulting firm with a concentration in the physical sciences, engineering, aerospace, defense, intelligence and finance. The company works with those in government, academia and private industry. In 2008, Omnis recruited Wall Street professional Christina Ray to develop a market intelligence practice. Ray heads Omnis’ practice in this area. She is an expert in computational finance, and is the author of several books, including the most recent one, Extreme Risk Management: Revolutionary Approaches to Evaluating and Measuring Risk.
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Market Intelligence
Market intelligence (MI) is gathering and analyzing information relevant to a company's market - trends, competitor and customer (existing, lost and targeted) monitoring. It is a subtype of competitive intelligence (CI), which is data and information gathered by companies that provide continuous insight into market trends such as competitors' and customers' values and preferences. MI along with the marketing capabilities of an organization provides a guideline into the allocation and implementation of resources and processes. It is used for the purpose of continuously supplying strategic marketing planning for organizations to gauge marketing positions in order for companies to gain competitive advantage and best meet objectives. Organizations can develop MI frameworks and models that are suited to financial capabilities and desired market sectors but are mainly based on the four-step process of collection, validation, processing and communication of MI. The gathering of MI ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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Companies Based In McLean, Virginia
A company, abbreviated as co., is a Legal personality, legal entity representing an association of people, whether Natural person, natural, Legal person, legal or a mixture of both, with a specific objective. Company members share a common purpose and unite to achieve specific, declared goals. Companies take various forms, such as: * voluntary associations, which may include nonprofit organizations * List of legal entity types by country, business entities, whose aim is generating profit * financial entities and banks * programs or Educational institution, educational institutions A company can be created as a legal person so that the company itself has limited liability as members perform or fail to discharge their duty according to the publicly declared Incorporation (business), incorporation, or published policy. When a company closes, it may need to be Liquidation, liquidated to avoid further legal obligations. Companies may associate and collectively register themselves ...
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American Companies Established In 2004
American(s) may refer to: * American, something of, from, or related to the United States of America, commonly known as the "United States" or "America" ** Americans, citizens and nationals of the United States of America ** American ancestry, people who self-identify their ancestry as "American" ** American English, the set of varieties of the English language native to the United States ** Native Americans in the United States, indigenous peoples of the United States * American, something of, from, or related to the Americas, also known as "America" ** Indigenous peoples of the Americas * American (word), for analysis and history of the meanings in various contexts Organizations * American Airlines, U.S.-based airline headquartered in Fort Worth, Texas * American Athletic Conference, an American college athletic conference * American Recordings (record label), a record label previously known as Def American * American University, in Washington, D.C. Sports teams Soccer * ...
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2004 Establishments In Virginia
4 (four) is a number, numeral and digit. It is the natural number following 3 and preceding 5. It is the smallest semiprime and composite number, and is considered unlucky in many East Asian cultures. In mathematics Four is the smallest composite number, its proper divisors being and . Four is the sum and product of two with itself: 2 + 2 = 4 = 2 x 2, the only number b such that a + a = b = a x a, which also makes four the smallest squared prime number p^. In Knuth's up-arrow notation, , and so forth, for any number of up arrows. By consequence, four is the only square one more than a prime number, specifically three. The sum of the first four prime numbers two + three + five + seven is the only sum of four consecutive prime numbers that yields an odd prime number, seventeen, which is the fourth super-prime. Four lies between the first proper pair of twin primes, three and five, which are the first two Fermat primes, like seventeen, which is the third. On the oth ...
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Footnotes
A note is a string of text placed at the bottom of a page in a book or document or at the end of a chapter, volume, or the whole text. The note can provide an author's comments on the main text or citations of a reference work in support of the text. Footnotes are notes at the foot of the page while endnotes are collected under a separate heading at the end of a chapter, volume, or entire work. Unlike footnotes, endnotes have the advantage of not affecting the layout of the main text, but may cause inconvenience to readers who have to move back and forth between the main text and the endnotes. In some editions of the Bible, notes are placed in a narrow column in the middle of each page between two columns of biblical text. Numbering and symbols In English, a footnote or endnote is normally flagged by a superscripted number immediately following that portion of the text the note references, each such footnote being numbered sequentially. Occasionally, a number between brack ...
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Provenance
Provenance (from the French ''provenir'', 'to come from/forth') is the chronology of the ownership, custody or location of a historical object. The term was originally mostly used in relation to works of art but is now used in similar senses in a wide range of fields, including archaeology, paleontology, archives, manuscripts, printed books, the circular economy, and science and computing. The primary purpose of tracing the provenance of an object or entity is normally to provide contextual and circumstantial evidence for its original production or discovery, by establishing, as far as practicable, its later history, especially the sequences of its formal ownership, custody and places of storage. The practice has a particular value in helping authenticate objects. Comparative techniques, expert opinions and the results of scientific tests may also be used to these ends, but establishing provenance is essentially a matter of documentation. The term dates to the 1780s in Englis ...
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Nicolas Benjamin Delapierre
Nicolas Benjamin Delapierre (c. 1739 – 24 January 1802) was a well-known and highly regarded France, French artist during the second half of the 18th century. Career Although he began and ended his painting career in France—he was a student of Carle van Loo and Jean-Baptiste-Siméon Chardin—for many intervening years Delapierre painted in Russia. He was active in Moscow (1767), and later in St. Petersburg (beginning in 1768), where he taught at the Imperial Academy of Arts and painted portraits of family members of Petr Borisovich Sheremetev—one of the wealthiest men in the world at the time. In 1770 he achieved the title of “agree” at the Academy for a portrait of Catherine II of Russia, Catherine II, and also became “royal painter”—executing portraits of the principal members of the imperial family. By 1786 Delapierre had returned to France and was well established in Lyon, where he exhibited four of his portraits at the “Salon des Arts” of Lyon (25 ...
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