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Launching AI products with Braintrust’s CEO Ankur Goyal
No Priors: Artificial Intelligence | Technology | Startups
Embrace Change: Evolving Data Infrastructure for AI
Future data infrastructure must adapt to the specific needs of artificial intelligence, moving beyond traditional practices like SQL queries and ad hoc exploration typical of structured data. Key components include robust data cleaning, effective storage solutions, and innovative labeling strategies. Advanced organizations are increasingly leveraging embeddings and AI models to manage and analyze vast amounts of unstructured data, such as customer support tickets, to enhance operational efficiency. The growing relevance of synthetic data also highlights the need for a dynamic approach to data management, ensuring that infrastructure is flexible and capable of evolving to meet the demands of AI-driven environments.
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