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How VideoAmp uses Amazon Bedrock to power their media analytics interface
- VideoAmp collaborated with AWS to develop a prototype of the VideoAmp Natural Language (NL) Analytics Chatbot using Amazon Bedrock for media analytics data analysis.
- The AI solution included a natural language to SQL pipeline and an automated testing tool for analytics queries.
- VideoAmp, a tech-first measurement company, uses AI to enhance measurement and optimization capabilities for TV, streaming, and digital media.
- Their AI journey focuses on providing accurate audience insights, improving measurement, and optimizing ad campaigns in real-time.
- VideoAmp is set to launch an AI analytics interface powered by generative AI to offer accessible insights through natural language queries.
- The solution aimed to convert natural language questions to SQL, execute queries on performance metrics data, and provide natural language summaries.
- Challenges included adapting large language models (LLMs) and developing an automated evaluation pipeline for accurate results.
- Amazon Bedrock, with Anthropic’s Claude 3 LLMs, was used for the AI assistant, providing models for SQL generation and data summarization.
- The solution connected to a data warehouse and supported various database connections, enhancing analytics capabilities.
- The evaluation framework ensured high accuracy, low latency, and cost-effectiveness for user queries, meeting VideoAmp's expectations.
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