A local area network (LAN) consists of computers and peripherals that share a common communications line or wireless link to a server. LANs are typically located within a distinct geographic area in an office or other facility.
Dependency injection (DI) is an object-oriented programming (OOP) software design structure in which service references, also called dependencies, are delivered to clients from the outside as required.
Traceability, in supply chain management, is the ability to identify, track and trace elements of a product or substance as it moves along the supply chain from raw goods to finished products. The concept applies to both the discrete manufacturing industry, which produces products such as automobiles, and to the process manufacturing industry, which includes products such as chemicals.
PTC ThingWorx is a model-based rapid application development (RAD) platform for the Internet of Things. The platform provides design, networking, data management and analytics tools for building business software that integrates with and manages IoT devices.
A digital twin is a virtual representation of a product that can be used in product design, simulation, monitoring, optimization and servicing. It requires three elements: the physical product in real space, its digital twin in virtual space and the information that links the two.
The Business Continuity Institute, which was started in 1994 and is headquartered out of the United Kingdom, is an international organization that offers accreditation and certification, networking, published resources, training and guidance for business continuity professionals.
ORTC (object real-time communications) is an open source component of WebRTC that enables mobile endpoints to talk to servers and Web browsers with real-time communications capabilities. ORTC is under development by a W3C community group that is supported by vendors including Hookflash, Google and Microsoft.
Logistic regression is a statistical method for creating predictive models that classify data into different outcome categories based on historical observations of outcomes involving the same data variables. In particular, it is an important element of machine learning applications.
Deep learning automates predictive analytics by stacking algorithms in a hierarchy of increasing complexity and abstraction. Each algorithm in the hierarchy applies a non-linear transformation on its input and uses what it learns to create a statistical model as output.