– Tamr’s Data Product Templates and enrichment framework handle building prompts from the Data Product’s configuration, executing requests to model inference APIs, and post-processing API responses
– Considerations and tradeoffs for using AI models like Google’s Gen AI include computational efficiency, fine-grained control for end-users, and the need for human-guided feedback to verify results
– The partnership between Google and Tamr integrates generative AI capabilities to elevate data management, offering ML-based mastering models, data cleaning services, and automatic structured data extraction from unstructured text fields for streamlined data processing and improved data-driven insights
When the Data Product is run, Tamr’s Data Product Templates and enrichment framework handle tasks such as building prompts, executing requests to model inference APIs, and post-processing API responses. The resulting attributes can be used for clustering entities or exported to downstream systems.
It is important to consider the capabilities and tradeoffs of AI models like Google gen AI when adopting new technology. For some use-cases, traditional ML models may be more computationally efficient, but modifying them over time can be challenging. Foundation models like Gemini are effective few-shot learners and may be more suitable for certain problems.
Fine-grained control over AI models and prompts should be considered, as devising effective prompts for specific domains is a subtle task. Tamr’s Data Products allow users to leverage generative AI without needing to become prompt engineers, providing carefully crafted prompts for specific problems or data domains.
The partnership between Google and Tamr enhances data management and analytics by combining Tamr’s Data Products with Google’s generative AI like Gemini. This integration simplifies data resolution from disparate sources and transforms data easily, requiring minimal code configuration. Together, Google and Tamr provide better value, streamline data processing, and enhance data-driven insights for businesses.
Overall, the partnership between Google and Tamr advances data management and analytics to help organizations thrive in a data-driven landscape. The integration of generative AI simplifies data processing, accelerates time-to-value, and improves data quality and integrity. Businesses can make more informed decisions and unlock the full potential of their data with this innovative partnership.