
About Juan Sequeda
Principal Data Strategist at ServiceNow
Juan F. Sequeda is the Principal Data Strategist at ServiceNow, previously Principal Scientist at data.world, with expertise in knowledge graphs, ontologies, semantic data management, and the integration of AI/LLMs with enterprise data systems. His work emphasizes practical, pay-as-you-go methodologies for building scalable knowledge graphs to power modern data catalogs, data meshes, and enterprise AI. He bridges computer science research with real-world applications in databases, graphs, and semantic web technologies.
Biography and Background
Juan F. Sequeda is a computer scientist specializing in knowledge graphs, semantic web, ontology-based data access, and graph data management.[9][10] Currently serving as Principal Data Strategist at ServiceNow, he was previously Principal Scientist at data.world (acquired via Capsenta, which he founded) and has contributed to Snowflake's discourse.[5][7] His personal site and blog cover computer science, research, semantic technologies, databases, graphs, and travel.[1][9][10]
Knowledge Graphs and Semantic Data Management
Sequeda advocates for knowledge graphs as foundational to modern data catalogs, enabling them to grow, scale, and evolve with the data stack.[3] He proposes a 'pay-as-you-go' methodology for designing and building knowledge graphs, emphasizing iterative, pragmatic development over upfront heavy investment.[4] His blog extensively covers knowledge graphs alongside semantic web and graph databases.[2][8][10]
Data Mesh Paradigm
Sequeda provides perspective on data mesh as a shift in enterprise data management, focusing on people and domain-oriented data ownership rather than centralized control.[6] This aligns with his semantic data interests, positioning data mesh as complementary to knowledge graph approaches.
AI, LLMs, and Enterprise Data
Recent work explores context graphs and ontologies in the 'race to fix enterprise AI,' highlighting their role in grounding LLMs with enterprise-specific knowledge.[11] His topics include AI + data and LLMs integrated with semantic data management.[bio]
Conferences, Thoughts, and Industry Engagement
Sequeda reports on conferences and shares personal thoughts on research and industry trends via his blog categories.[2][8] He participates in events like the AIM CXO Unplugged roundtable[12] and is associated with summits like AtScale's Semantic Layer Summit.[13]
Knowledge Graphs
Central to scalable data management and integration.
Semantic Web and Ontologies
Foundational for data interoperability and AI grounding.
Data Mesh
People-centric shift in enterprise data management.
Paradigm focusing on domains and people [6]
AI + Data + LLMs
Integrating semantics to enhance enterprise AI.
Race to fix enterprise AI with ontologies [11]
Topics: AI + data, LLMs [bio]
Practical Methodologies
Iterative, pay-as-you-go approaches over theoretical perfection.
Every entry that fed the multi-agent compile above. Inline citation markers in the wiki text (like [1], [2]) are not yet individually linked to specific sources — this is the full set of sources the compile considered.
- Data Unchained: Understanding AI Readiness Before Implementation w/ Tim Gasper & Juan Sequedapodcast_episode · 2026-04-14
- Juan F. Sequedaarticle · 2026-04-14
- Conference Report Archives - Juan Sequeda's Blogarticle · 2026-04-14
- Juan Sequeda - Data.worldarticle · 2026-04-14
- Juan Sequedaarticle · 2026-04-14
- Blog about Computer Science, Research, Knowledge Graphs ...article · 2026-04-14
- Context Graphs, Ontologies, and the Race to Fix Enterprise AI - HackerNoonnews_article · 2026-04-14
- The AIM CXO Unplugged roundtable, hosted in collaboration with Bright Data at JW Marriott Bangalore on 25th February, turned into an evening of thoughtful discussion and valuable perspectives shared across the table. This invite-only gathering brought tog - LinkedInnews_article · 2026-04-14
- AtScale Announces Agenda and Registration for 2026 Semantic Layer Summit - HPCwirenews_article · 2026-04-14