GAIT serves as a transformative force in pharmaceutical content analytics and personalization. Integrating rapid manual tagging and AI-generated descriptive metadata ensures data integrity and streamlines analytics through strategic data warehouse integration. The platform addresses challenges in maintaining efficiency and accuracy when scaling to diverse markets and content volumes. GAIT facilitates global analytics reuse by standardizing tagging efforts and offering custom model augmentation to surpass pre-built algorithms in accuracy and efficiency. It empowers businesses with data-driven decision-making, personalized content experiences, and solutions for manual tagging challenges, metadata inefficiencies, and model selection complexities across varied markets and regions.

Features: 1. AI-powered content tagging: GAIT employs advanced AI algorithms to generate descriptive metadata for promotional content automatically. Integrated with AWS, GAIT leverages AWS's machine learning capabilities, enhancing content tagging automation. This feature addresses the challenge of time-consuming manual tagging, saving time and ensuring data accuracy. By using AWS's resources, GAIT efficiently handles diverse content volumes, promoting standardized tagging practices across markets. 2. Applied generative AI: Utilizing cutting edge Bedrock large language models such as Anthropic Claude 2.1, GAIT generates contextual metadata without the need for retro-tagging. This model adopts the specific needs of your business, market, and product making the output highly aligned to your understanding of the tags.