首页|'Systems And Methods For Using Resource Management Communications Platforms To G enerate Time-Sensitive Notifications Based On Real-Time Data' in Patent Applicat ion Approval Process (USPTO 20240311683)
'Systems And Methods For Using Resource Management Communications Platforms To G enerate Time-Sensitive Notifications Based On Real-Time Data' in Patent Applicat ion Approval Process (USPTO 20240311683)
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A patent application by the inventors EPPLER, Eric (Baltimore, MD, US); SHERIF, Timur (Silver Spring, MD, US), filed o n March 15, 2023, was made available online on September 19, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application is assigned to Capital One Services LLC (McLean, Virgini a, United States). The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "In recent years, the use of artificial intellig ence (AI), including, but not limited to, machine learning, deep learning, etc. (referred to collectively herein as artificial intelligence models, machine lear ning models, or simply models) has exponentially increased. Broadly described, a rtificial intelligence refers to a wide-ranging branch of computer science conce rned with building smart machines capable of performing tasks that typically req uire human intelligence. Key benefits of artificial intelligence are its ability to process data, find underlying patterns, and/or perform real-time determinati ons. However, despite these benefits and despite the wide-ranging number of pote ntial applications, practical implementations of artificial intelligence have be en hindered by several technical problems. First, artificial intelligence may re ly on large amounts of high-quality data. The process for obtaining this data an d ensuring it is high-quality can be complex and time-consuming. Additionally, d ata that is obtained may need to be categorized and labeled accurately. which ca n be a difficult, time-consuming, and manual task. These technical problems may present an inherent problem with attempting to use an artificial-intelligence-ba sed solution in anticipating an undesirable action and intervening at an opportu ne moment to maximize the likelihood the undesirable action will be mitigated an d minimize undesirable consequences without causing inconvenience to the user be cause there is likely to be little training data (or high-quality training data) that can be used to anticipate the undesirable action."
Artificial IntelligenceBusinessCapit al One Services LLCCyborgsEmerging TechnologiesMachine Learning
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