Review Adaptive Real Time Analytics - Education in Clay,Florida

Adaptive Real Time Analytics - Education in Clay,Florida

411 Walnut ST #8807

Clay, Others

Florida, United-states - 32043

Detailed description is ARTA (Adaptive Real Time Analytics) is a service that provides true real-time analytics for support of decision making. ARTA (Adaptive Real Time Analytics) is an application and/or service that provides true real-time analytics for support of decision making in both private and government environments. ARTA has been in use since 1984 and has undergone significate conceptual math enhancements in recent years to provide true real-time predictive analytics with the ability to adapt to change within a few milliseconds.. . ARTA is composed of 4 components:. 1. ARTA Engine – the math layer that provides real time analytics using common and advanced machine learning algorithms. . 2. ARTA Server – the monitoring application on the server side that can also be used to manage data, identify models and view statistical results.. 3. ARTA Dashboard – client web-based tool for controlling access and monitoring results.. 4. ARTA API – client interface layer that is used to access client data, structure calls to the ARTA Engine, and provide data persistence based on client specifications.. . The ARTA Dashboard and ARTA API can be customized to suit individual client needs. Big Data support is provided through tools such as Hadoop.. . Capabilities of the ARTA Engine include:. 1. Creation of an “Adaptive Matrix” for the accumulation of “intelligences” across 1000s of servers to support real time analytics in small or “Big Data” platforms. Individual instances of Adaptive Matrices, residing on separate and totally independent servers, can be combined in real time.. 2. Data intelligences can be accumulated at a rate of approximately 400,000 rows per second (per server) when incorporated within the data persistence strategy of an organization. Time required to assimilate new data is linear as the number of observations grows. Therefore, adding a row to an Adaptive Matrix representing billions of rows requires no more time then adding the first few initial observations.. 3. Adaptive Matrices can be combined from multiple servers at a rate of approximately 1000 per second (not including data transfer times). The time required for adding Adaptive Matrices from multiple sources is also linear.. 4. The Adaptive Matrices contain a cross variance / correlation analysis including all combinations of all data columns, a cross differential weighing analysis, pure error analysis, fit/lack of fit and postulated bias distribution analysis in a proprietary organizational structure lending itself for direct input in the ARTA Engine.. 5. The ARTA Engine does not require access to raw data for its analytical analysis, but uses intelligences accumulated in one or multiple Adaptive Matrices.. 6. For a single or accumulated Adaptive Matrix, the ARTA Engine can recalculate model parameters within 1 to 10 milliseconds, which provides true real time machine learning. The time required to recalculate model parameters, whether using linear or non-linear regression, is independent of the number of rows contained within an Adaptive Matrix. The same time is required to provide advanced analytics on a billion rows as it does 100 rows.. 7. The ARTA Engine supports a large set of advanced analytical tools to support real time decision making, fraud predictions, work flow optimization, forecasting and industrial device control. Analytical tools include linear/non-linear regression, stepwise and optimization to fully utilize several advanced machine learning algorithms.. 8. A flexible model definition is supported for linear and non-linear data relationships.. 9. The ARTA Engine supports the ability to dynamically find the most suitable model for the data through the technique called “Brute Force”. For each 10 columns within the input data stream, ARTA will analyze approximately 6,500 combinations of significances to arrive at the optimal model and maximum likelihood estimators. Typical time for dynamic model selection and parameter estimation is less than 20 milliseconds. When using the “Brute Force” technique, data intelligences can be accumulated at a rate of approximately 5,000 rows per second per server when the ARTA Product has been incorporated into the data management system. If 10 servers are active, data intelligences can be accumulated at a rate of approximately 50,000 per second.. 10. The “Brute Force” technique is particularly useful for general data warehousing to provide real time analytics and modeling at any time.. 11. The ARTA Engine supports the use of supervised data where model form is pre-defined.. 12. The ARTA Engine has the capabilities of handing unsupervised data and automatically determining the best model fit by analyzing thousands of possible forms in real time. . 13. All data is encrypted at rest and support is provided for secure data transmissions..

Established in the recent years Adaptive Real Time Analytics in clay, florida in united-states.

This well-known establishment acts as a one-stop destination servicing customers both local and from other parts of the city...

Frequently Asked Questions About This Location

Qus: 1). what is the mode of payment accepted ?

Ans: Cash , Credit Card and Wallets

Qus: 2). What are the hours of operation ?

Ans: Open all days from 9:30 to 8:30 and exceptions on Sundays

Qus: 3). What is the Latitude & Longitude of the location?

Ans: Latitude: 29.99313, Longitude: -81.67976

Qus: 4). What is the phone number of the location?

Ans: Phone: (302) 530-4701

Qus: 5). What is the email of the business?

Ans: Email: kchumley@msn.com