AI Business Strategies Definitions
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A
adversarial machine learning
Adversarial machine learning is a technique used in machine learning (ML) to fool or misguide a model with malicious input.
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AI winter
AI winter is a quiet period for artificial intelligence research and development.
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algorithmic transparency
Algorithmic transparency is openness about the purpose, structure and underlying actions of the algorithms used to search for, process and deliver information.
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anomaly detection
Anomaly detection is the process of identifying data points, entities or events that fall outside the normal range.
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artificial intelligence (AI) governance
Artificial intelligence governance is the legal framework for ensuring AI and machine learning technologies are researched and developed with the goal of helping humanity adopt and use these systems in ethical and responsible ways.
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Artificial Intelligence as a Service (AIaaS)
Artificial Intelligence as a Service (AIaaS) is the third-party offering of artificial intelligence (AI) outsourcing.
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assistive technology (adaptive technology)
Assistive technology is a set of devices intended to help people who have disabilities.
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C
case-based reasoning (CBR)
Case-based reasoning (CBR) is an experience-based approach to solving new problems by adapting previously successful solutions to similar problems.
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clustering in machine learning
Clustering is a data science technique in machine learning that groups similar rows in a data set.
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cognitive bias
Cognitive bias is a systematic thought process caused by the tendency of the human brain to simplify information processing through a filter of personal experience and preferences.
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cognitive modeling
Cognitive modeling is an area of computer science that deals with simulating human problem-solving and mental processing in a computerized model.
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cognitive search
Cognitive search represents a new generation of enterprise search that uses artificial intelligence (AI) technologies to improve users' search queries and extract relevant information from multiple diverse data sets.
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crypto-agility
Crypto-agility, or cryptographic agility, is a data encryption practice used by organizations to ensure a rapid response to a cryptographic threat.
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D
decision tree in machine learning
A decision tree is a flow chart created by a computer algorithm to make decisions or numeric predictions based on information in a digital data set.
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G
graph neural networks (GNNs)
Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a graph's nodes and edges.
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What is generative AI? Everything you need to know
Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data.
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I
intelligent process automation (IPA)
Intelligent process automation (IPA) is a combination of technologies used to manage and automate digital processes.
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O
OpenAI
OpenAI is a private research laboratory that aims to develop and direct artificial intelligence (AI) in ways that benefit humanity as a whole.
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R
responsible AI
Responsible AI is an approach to developing and deploying artificial intelligence (AI) from both an ethical and legal point of view.
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robo-advisor
A robo-advisor is a virtual financial advisor powered by artificial intelligence (AI) that employs an algorithm to deliver an automated selection of financial advisory services.
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robot
A robot is a machine designed to execute one or more tasks automatically with speed and precision. There are as many different types of robots as there are tasks for them to perform.
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robot economy
The robot economy is a scenario in which most of the labor required to sustain human life is automated.
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S
sustainable AI
Sustainable AI is the use of artificial intelligence systems that operate in ways contingent with sustainable business practices.