Build Real-Time GenAI Product Recs that Boost Cart Size скачать в хорошем качестве

Build Real-Time GenAI Product Recs that Boost Cart Size

Retail is one of the most obvious industries for generative AI to make a big impact. Leveraging Gen AI with huge data sets in real-time opens up a wide range of highly nuanced and personalized customer interactions. Combining user behavior data and vector embeddings is how developers serve up relevant, personalized suggestions in real-time. This livestream will reveal the building blocks of creating instant recommendations with GenAI, and show you how vector search enables this kind of precision and speed when building retail and e-commerce applications. During this session, you’ll learn to: --Drive additional product sales and views with Gen AI-driven recommendations. --How to generate vector embeddings for your product data set. --Work vector search into your e-commerce channel. LIVESTREAM RESOURCES: Rethinking Retail Data Architecture for the AI Era: https://dtsx.io/3IVH7gG Free Astra Account: https://dtsx.io/3GMdpKB GitHub: Ecommerce https://dtsx.io/417Fz9D GitHub: Hugging Face Embeddings: https://dtsx.io/45ewsGB Blog: GenAI in Retail: https://dtsx.io/3IDNKnT Additional Resources: DataStax Developer Hub: https://dtsx.io/devhub DataStax Blog: https://dtsx.io/howto Try Langflow: https://dtsx.io/trylangflow Try Astra DB: https://dtsx.io/40kQpI6 ____________________ Stay in touch: Join our Discord Community:   / discord   Follow us on X: https://x.com/DataStaxDevs