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Juan Sequeda

Head of AI Lab at data.world

Pioneering technology to build knowledge graphs from relational databases Juan focuses on blending data integration expertise with AI to solve real-world challenges.

Talks about

Juan talks about knowledge graphs, data integration, AI's role in structured data, bridging data silos, and the future of data-driven decision-making in enterprises.

data management

knowledge management

AI strategy

Badges

LLM Expert

Innovator

Data Founder

Highlights

See the "what". Explore their accomplishments, groundbreaking projects, and industry recognition. Witness how they're shaping the future of data.

Received the SIGMOD Industry Track Best Paper recognition

Juan co-authored the paper "PG-Schema: Schemas for Property Graphs," which received this recognition, highlighting his ongoing impact and leadership in data management and graph database research.

Knowledge Graphs

This book introduces knowledge graphs, exploring their models, query languages, schema, and machine learning techniques, with real-world examples for students and professionals.

Designing and Building Enterprise Knowledge Graphs

This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.

Insights

Unlock the "why". Dive into interviews, blogs, and videos where thought leaders unpack their insights. Go beyond the resume, connect with the mind behind the expertise.

Data Engineering

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Feb 3

Data Day Texas 2025 Recap

Tony Baer, Matt Housley, Juan Sequeda and Joe Reis recap their thoughts on Data Day Texas 2025.

Data Engineering

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Jan 29

Knowledge Graphs Are Shaping The Future Of Data & AI

Data professionals precdictions for 2025.

Data Engineering

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Jan 15

Knowledge Graphs As A Source Of Trust For LLM-Powered Enterprise Question Answering

This book explores how Generative AI and Knowledge Graphs work together, emphasizing Knowledge Graphs for query validation, explainability, and trusted data in enterprise AI systems.

Data Engineering

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Jan 12

The Power of Knowledge Graphs and LLMs on Structured Data in the Enterprise

Juan Sequeda and Joe Reis chat about knowledge graphs, the potential of LLMs on structured datasets, and much more. This is an honest, no-BS chat about the transition from a data-first world to a knowledge-first world.

Data Engineering

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Jan 3

Future Of Machine Learning

The panel covers future machine learning trends, including deep learning, reinforcement learning, and federated learning, with a focus on real-world applications and industry impact.

Data Engineering

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Sep 5

Data Catalog Powered By Knowledge Graph

This episode covers building data catalogs with knowledge graphs, highlighting how they enhance flexibility, extensibility, and future-proof enterprise data investments.

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Juan Sequeda

Talks about

Badges

Highlights