Unlocking Enterprise Data with Knowledge Graphs | Juan Sequeda, Head of AI Lab at data.world

Nathan and Juan Sequeda explore how knowledge graphs serve as an AI 'brain' for organizations, integrating data for enhanced enterprise AI systems.


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Video Description

In this episode, Nathan sits down with Juan Sequeda, Principal Scientist and Head of AI Lab at data.world. They discuss how knowledge graphs can be your organization's "brain" for AI, integrating structured and unstructured data, benchmarking enterprise AI systems, and more.
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Data.world: https://data.world/

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@labenz (Nathan)
@juansequeda (Juan)
@datadotworld (data.world)

(00:00:00) - Introduction to Juan Sequeda and data.world
(00:01:11) - Discussion on data and generative ai
(00:06:15) - Data.world's origins as an open data catalog platform ("Github for data")
(00:09:35) - Using knowledge graphs and semantics to integrate and query data
(00:12:52) - Main use cases for data catalogs: search/discovery, governance, data operations
(00:15:00) - The process of building knowledge graphs automatically from data
(00:16:07) - Sponsor: Shopify
(00:24:29) - AI for unlocking and capturing tribal business knowledge
(00:31:00) - The importance of semantics
(00:32:59) - Sponsors: Netsuite | Omneky
(00:34:24) - Understanding the data landscape in enterprises
(00:38:32) - The emergence of knowledge engineers and data product managers
(00:40:44) - The consumer experience in data.world
(00:45:36) - The importance of context in data analysis
(00:46:58) - The role of AI in improving data analysis
(00:48:08) - The importance of accuracy and explainability in data analysis
(00:50:08) - Question cataloging in data analysis
(00:51:44) - The future potential of "chat with your data" interfaces
(01:18:02) - Finetuning with data vs metadata
(01:29:24) - Future of enterprise data teams

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