Submitted by: Submitted by mohitkokil
Views: 171
Words: 1366
Pages: 6
Category: Business and Industry
Date Submitted: 09/08/2013 05:38 AM
A)Predictive Analytics: Predictive analytics encompasses a variety of techniques from statistics, modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown, events.
Advantages:
* Predictive analytics is used in actuarial science, marketing, financial services, insurance, telecommunications, retail, travel, healthcare, pharmaceuticals and other fields.
Applications:
* 3.1 Analytical customer relationship management (CRM)
* 3.2 Clinical decision support systems
* 3.3 Collection analytics
* 3.4 Cross-sell
* 3.5 Customer retention
* 3.6 Direct marketing
* 3.7 Fraud detection
* 3.8 Portfolio, product or economy-level prediction
* 3.9 Risk management
* 3.10 Underwriting
B) Speech Recognition: Speech recognition (SR) is the translation of spoken words into text.
Applications :
* 1.1 Healthcare
* 1.2 Military
* 1.2.1 High-performance fighter aircraft
* 1.2.2 Helicopters
* 1.2.3 Training air traffic controllers
* 1.3 Telephony and other domains
C) Consumer Telematics typically is any integrated use of telecommunications and informatics, also known as ICT (Information and Communications Technology).
Applications :Hence the application of telematics is with any of the following:
* The technology of sending, receiving and storing information via telecommunication devices in conjunction with affecting control on remote objects.
* The integrated use of telecommunications and informatics, for application in vehicles and with control of vehicles on the move.
* Most narrowly, the term has evolved to refer to the use of such systems within road vehicles, in which case the term vehicle telematics may be used for following things
* 3.1 Vehicle tracking
* 3.2 Trailer tracking
* 3.3 Container tracking
* 3.4 Cold store
* 3.5 Fleet management
* 3.6 Satellite navigation...