2019
DOI: 10.3390/fi11080178
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Artificial Intelligence Imagery Analysis Fostering Big Data Analytics

Abstract: In an era of accelerating digitization and advanced big data analytics, harnessing quality data and insights will enable innovative research methods and management approaches. Among others, Artificial Intelligence Imagery Analysis has recently emerged as a new method for analyzing the content of large amounts of pictorial data. In this paper, we provide background information and outline the application of Artificial Intelligence Imagery Analysis for analyzing the content of large amounts of pictorial data. We… Show more

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Cited by 8 publications
(4 citation statements)
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“…Challenges include cloud cover and spatial resolution limitations, requiring skilled interpretation. Future trends involve integrating satellite imagery with advanced technologies like artificial intelligence, improving sensor capabilities, and fostering global collaboration for enhanced data sharing and application in precision agriculture Cremer & Loebbecke, 2019).…”
Section: Satellite Imagerymentioning
confidence: 99%
“…Challenges include cloud cover and spatial resolution limitations, requiring skilled interpretation. Future trends involve integrating satellite imagery with advanced technologies like artificial intelligence, improving sensor capabilities, and fostering global collaboration for enhanced data sharing and application in precision agriculture Cremer & Loebbecke, 2019).…”
Section: Satellite Imagerymentioning
confidence: 99%
“…Another important component of cognitive analytics competence is the maturity and sophistication of cognitive technologies. Higher sophistication cognitive technologies such as facial recognition, have improved neuro-marketing practices [30,31]; or Arti cial Intelligence Imagery Analysis has fostered big data analytics [32]. Therefore, cognitive analytics tools with higher maturity levels can help enhance consumer, business, and competitor understanding; therefore improving marketing intelligence.…”
Section: Research Modelmentioning
confidence: 99%
“…The purpose of Big Data, in the same way as conventional analytical systems, is to convert the data into suitable information for decision-making. This term encompasses technological infrastructures and services created to provide solutions to the processing of huge structured, unstructured, or semi-structured datasets [71,72].…”
Section: Related Conceptsmentioning
confidence: 99%