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Real-Time AI Explained. Enabling Ecommerce Instant Decisions with Streaming

Presented by

David Dieruf, Developer Advocate, Streaming at DataStax

About this talk

You have all this data coming into the system, what are you going to do with it? Maybe store it in some lake ‘o data to never be spoken of again? Or better yet, write it to a microservice’s dedicated store where no one has access to. Let’s think about things in a different way - use that data in real time! Make decisions on the fly to help your customers with a better experience! Store the decisions as a record of business value already realized. In this session, we are going to look at how streaming and real-time AI enables enterprises to do more with data. But we’re not going to weigh you down with all the boring business trends and percentages. We are going to review a working example of an ecommerce site watching the viewing trends of a live customer and promoting related items that are of strong interest to the person. It doesn’t get any more real time than this!
DataStax

DataStax

3706 subscribers34 talks
Data = AI. DataStax handles Billions of Vectors.
We provide the real-time vector data tools that Gen AI apps need, with seamless integration with developers’ stacks of choice (RAG, Langchain, LlamaIndex, OpenAI, GCP, AWS, Azure, etc).
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