AI agents can't recommend what they can't understand. Your product data structure determines whether agents see you as a viable option or skip you entirely.

Abstract: The JSON data format is widely used in a variety of data representation and exchange scenarios due to its flexibility. JSON data is usually schemaless, which ensures the lightweight and ...

I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven enterprise solutions that integrate LLM. I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven ...

Abstract: Biomedical data harmonization is essential forenabling exploratory analyses and meta-studies, but the process of schema matching—identifying semantic correspondences between elements of ...

For years, SEOs optimized pages around keywords. But Google now understands meaning through entities and how they relate to one another: people, products, concepts, and their topical connections ...

Learn how to choose the right cross-validation method for your machine learning projects. Compare techniques like k-fold, stratified, and leave-one-out cross-validation, and understand when to use ...

Gathering and analyzing data is essential for validating and refining your business model. Important KPIs to monitor might include user acquisition cost, lifetime value of a customer, churn rate, ...

WILMINGTON, Mass.--(BUSINESS WIRE)--$CRL #LIFEatCRL--Charles River Laboratories International, Inc. (NYSE: CRL) and Toxys today announced a collaboration that offers ...

Focus on block-level structure so assistants can lift complete ideas. Align titles, headings, and schema; use Q&A and short lists where they help. Avoid hidden content, long walls of text, PDFs for ...

Define a JSON schema that uses prefixItems. Attempt to validate it using google.genai.types.Schema.model_validate(). import google.genai.types as types import ...