– New generative AI applications allow users to create their own still and live images based on prompts
– Traditional stock-media asset providers offer customers richer search experiences with a deep understanding of image content
– Organizations use data to optimize image generation models, identify inappropriate content, and enhance user experience through data analysis.
The commercial image and video asset industry has seen significant changes in the past year. New generative AI applications allow users to create their own images based on prompts, while traditional stock-media providers offer richer search experiences. These organizations rely on data to optimize image generation models, identify inappropriate content, analyze user behavior, recommend similar images, and enhance search capabilities.
To address these challenges, a solution based on real-life engagements with industry leaders has been developed. This solution minimizes costs, simplifies development, optimizes engineering resources, enables data transformation, and supports quick analysis and iteration on models. It allows companies to activate customer data and develop powerful analyses securely and efficiently.
However, working with unstructured data presents challenges such as data security standards, data type silos, the need for high-performance cloud computing resources, and maintaining data integrity across layers. To overcome these challenges, Cloud Storage and BigQuery can be used to centralize data and streamline data integration. An architecture that leverages BigQuery object tables can be adapted for various forms of unstructured data, including images, audio, and documents.
This architecture integrates structured and unstructured data to enhance platform capabilities, improve search functionalities, and enable informed decision-making. It facilitates the training of image-generation models, provides advanced search features, and centralizes analytic workloads. Overall, this solution offers a streamlined and efficient workflow for handling unstructured data in the image asset industry.