LLM

With the release of Google's Gemini 1.5 research model and it's 10M context window, we discuss what this means for enterprise use cases.

Data rationalization is a crucial process in maintaining data integrity and streamlining business intelligence. This blog post outlines a comprehensive approach to transforming messy data into a valuable resource, focusing on product data but applicable to any data category prone to duplication.