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Today's more advanced document automation systems allow users to create their own data and rules (logic) without the need for programming. While document automation software is used primarily in the legal , financial services , and risk management industries, it can be used in any industry that creates transaction-based documents.
Forms processing is a process by which one can capture information entered into data fields and convert it into an electronic format. This can be done manually or automatically, but the general process is that hard copy data is filled out by humans and then "captured" from their respective fields and entered into a database or other electronic format.
Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...
Central and Western Massachusetts Automated Resource Sharing, or CW MARS, [1] is a library consortium in central and western Massachusetts dedicated to efficient resource sharing and rapid access to information. CW MARS was formed in 1982 to promote resource sharing among 28 public and academic libraries through a shared library automation system.
Massachusetts shares with the five other New England states the New England town form of government. All land in Massachusetts is divided among cities and towns and there are no unincorporated areas, population centers, or townships. Massachusetts has four kinds of public-school districts: local schools, regional schools, vocational-technical ...
Logistics automation is the application of computer software or automated machinery to logistics operations in order to improve its efficiency. Typically this refers to operations within a warehouse or distribution center , with broader tasks undertaken by supply chain engineering systems and enterprise resource planning systems.
Other approaches include the use of automated theorem proving, logic programming, blackboard systems, and term rewriting systems such as Constraint Handling Rules (CHR). These more formal approaches are covered in detail in the Wikipedia article on knowledge representation and reasoning.
Machine-readable data must be structured data. [1]Attempts to create machine-readable data occurred as early as the 1960s. At the same time that seminal developments in machine-reading and natural-language processing were releasing (like Weizenbaum's ELIZA), people were anticipating the success of machine-readable functionality and attempting to create machine-readable documents.