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artificial neural networks
A computer system that can recognize and act on patterns or trends that it detects in large sets of data; developed to operate like the human brain
job loss fear
caused by automation, or ai doing jobs humans used to do
visual systems
AI with hardware and software that permit computers to capture, store, and process visual images
visual images
provide constant stream of info to our brain, machines might need a perceptive system to understand them
knowledge base
component of an expert system that stores all relevant info, data, rules, cases, and relationships used by the expert system
machine learning
computer can learn without having a programmer change the software for every scenario it encounters
Natural language processing
part of machine that allows computers to understand, analyze, manipulate, and generate natural language for processing.
user interfaces
human user interacts with a computer through display screens, keyboards, mouse, etc.
Turing test
determines whether a computer can impersonate a human
difference between hardware and software
hardware is the physical components of a computer, while software is the programs its able to run
big data
data collections so big (terabytes or more) and complex that traditional data management software is incapable of handling them
data warehouse
large database that holds business info from many sources in the enterprise, covering all aspects of the companies processes, products, and customers
data mart
subset of a data warehouse that is used by small and medium businesses with large companies for decision making purposes
data center
climate and access controlled building that houses computer hardware that delivers an organizations data and info services
data scientist
combine strong business, understanding of analytics, appreciation of limitations of data, tools, and techniques to deliver improvement in decision making
5 Vs of Big data
volume, velocity (speed of which its generated), variety, veracity (trustworthiness), value
business intelligence
applications, practices, and technology for extraction, transformation, integration, visualization, interpretation, and presentation of data to support better decision making
ERP
enterprise resource planning
3 types of hosted enterprise software
on premises, cloud based, hybrid
server virtualization
dividing the resources of a single physical server to create multiple logical servers, each acting as its own dedicated machine.
application
Programs that help users solve particular computing problems
SAS
statistical analysis system, data management for large datasets, generate reports
RAM
random access memory, instructions or data can be temporarily stored
Linux
flexible, stable, and secure open source operating system
green computing
concerned with efficient and environmentally responsible design, manufacture, operation, and disposal of IT products
value chain
series of activities performed to transform inputs to outputs where the value of the input is increased
firewalls
network security system that monitors incoming and outgoing network traffic based on security rules