# Artificial Intelligence Imagery Analysis Fostering Big Data Analytics
## 2 Artificial Intelligence Imagery Analysis: Background, Evolution, and Illustration
### Azure Cognitive Services from Microsoft
However, the ease of obtaining new data and having the corresponding tools for data analysis at hand may result in an overemphasis on empirical work as a means of research. Staying focused on well-grounded science could become more challenging. Seemingly impressive insights and research \"findings\" based on large data sets that lead to statistically significant \"results\" can come to life rather fast and cheaply-often hidden from detailed inspection. ### Applications in Practice

We anticipate an array of applications of Artificial Intelligence Imagery Analysis in practice. They include, but are not limited to the following. **Aggregating and organizing content, especially user-generated content. ** Customers and users enjoy a large assortment of barely distinguishable online content. This also applies to user-generated videos, which are often created for non-monetary reasons such as positive feedback, reputation, status, or \"warm glow\". To support users' searches across content offerings, platforms favor imagery cues that users can process quickly and subconsciously. Organizing and filtering content at the thumbnail level reduces the decision complexity and decreases the depth of search for users. Thus, it may help to foster sales or monetarily harvest the value from their users. **Targeting and mass-customization of content. ** Platforms may want to algorithmically align thumbnails to content and target individual users with their individual preferences and taste, and harvest the additional monetary value from them. Artificial Intelligence Imagery Analysis can help build models that algorithmically decide on thumbnail composition against a desired outcome and at near-zero marginal costs. This allows providers to economically optimize a thumbnail for a piece of content and its prospective consumers - at near-zero marginal costs, and if necessary, in real-time. **Targeting advertising. ** Similar to the advertising market [32], platforms can charge publishers for targeting their content to users. As not all users react equally to different kinds of imagery cues along the dimensions of complexity, emotional strength, concreteness, and uniqueness in thumbnails, platforms can customize thumbnails to the individual user in a way that either promotes or inhibits consumption. **Enhancing business processes. ** Managers can implement Artificial Intelligence Imagery Analysis into their processes or for their end-user platforms. Regarding internal processes, deploying Artificial Intelligence Imagery Analysis can lead to recommendations for the design of content \"packaging\" and give real-time feedback to design drafts. When producers upload their content onto platforms, Artificial Intelligence Imagery Analysis allows for building toolboxes and checklists for stronger embedding of the content into the platform via its \"packaging\". ## 4 Research Illustration

To demonstrate the value that can be obtained from Artificial Intelligence Imagery Analysis, this section summarizes an actual research case. To facilitate choice among growing media assortments, media platforms use recommendation systems such as thumbnail images (in brief: thumbnails) as information cues to promote their media goods. Typically, every thumbnail shows a scene with objects that possess characteristics [33]. We refer to those objects as visual information cues. By distinguishing human information processing into lower-level processing based on perception and higher-level processing based cognition [34], we differentiate between low-level cues (contrast, color, shapes) and high-level cues. The latter, we differentiate further into conceptual and social cues, as humans differently process lifeless objects and living beings, particularly humans [34]. Conceptual cues encompass imagery and textual cues [2; 35]. For social cues [6; 36], we distinguish social presence and emotional presence. Social presence refers to the emotionally neutral presence of living beings (animals or humans). Emotions cannot be detectedbecause a body is only visible from a distance.