Unlock the true potential of your enterprise data with AI agents that transcend chat. This panel explores how leading companies build production-ready AI agents that deliver real-world impact. We’ll examine Google Cloud, MongoDB, Elastic, and open source tools, including generative AI and large language model (LLM) optimization with efficient data handling. Learn practical approaches and build the next wave of AI solutions.
talk-data.com
M
Speaker
Maruti C
2
talks
Global Partner Engineering Lead
Google Cloud
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2 activities · Newest first
with
Philipp Krenn
(Elastic)
,
Benjamin Flast
(MongoDB)
,
Kevin Tsai
(Google Cloud)
,
Maruti C
(Google Cloud)
Natural language is an ideal interface for many real time applications such as inventory tracking, patient journey, field sales, and other on-the-go situations. However, these real time applications also require up to date and accurate information, which necessitates a real time RAG architecture. In this session, we will demonstrate how you can build an accurate and up to date real time generative AI application using a combination of Dataflow and graph databases.
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