Juan Sequeda

Principal Strategist/Researcher @ServiceNow @HonestNoBSData podcast @UTCompSci PhD, 20+ years in Knowledge Graphs, Prev @datadotworld founder @Capsenta 🇺🇸🇨🇴

[Juan Sequeda @juansequeda]

How can we further increase the accuracy of LLM-powered question answering systems? Ontologies to the rescue!

That is the conclusion of the latest research coming from the @datadotworld AI Lab with @WorkingOntology
Paper: https://t.co/FrmVmyrnA9
🧵 describing the results

[Juan Sequeda @juansequeda]

6th YEAR SEASON FINALE: Juan and Tim Rant https://t.co/F2gvXa7RqY

[Juan Sequeda @juansequeda]

6th YEAR SEASON FINALE of Catalog & Cocktails @HonestNoBSData Podcast is tomorrow!

Can't believe it's already been 6 years. Thank you to our amazing guests and specially to the 1000s of listeners who tune in every week!

[Juan Sequeda @juansequeda]

My Honest No-BS Takeaways from @Gartner_inc D&A London May 2026: yeah context is king and queen, but everyone is still at the basics, governance should also be king and queen, figuring out your vendor strategy is critical too and no talks about methodologies.

https://t.co/51uB8zew6j

[Juan Sequeda @juansequeda]

Pragmatic Use-Case-Driven Data Governance with Jason Doerr https://t.co/eR1YgeOdPo

[Juan Sequeda @juansequeda]

Last time I was in Vienna was 2017 and I found this picture. That was my company (@Capsenta) and our software (Ultrawrap). The tagline states: “Changing the way the world models, governs and integrates data”

Talk about determination and passion.

Let’s go!!!

[Juan Sequeda @juansequeda]

Data Catalyst³: Governance × Change Management × Data Fluency w/ Bob Seiner https://t.co/aMcjOLwYbT

[Juan Sequeda @juansequeda]

AI Governance Isn't Compliance. It's About Humans with Victoria Gamerman https://t.co/O5AcoLhmGB

[Juan Sequeda @juansequeda]

25 years ago today, the seminal Semantic Web article by @timberners_lee @jahendler @oralassila was published in Scientific American. If you’re building agents, knowledge graphs and now context layers today, my ask is simple: read the original Semantic Web article.

[Juan Sequeda @juansequeda]

AI Appetite Is Easy, Digestion Is Hard with Diana Wu David https://t.co/EcG6odJjaA

[Juan Sequeda @juansequeda]

It's Friday, Juan and Tim rant https://t.co/nNvQOKTacq

[Juan Sequeda @juansequeda]

Takeaways from #TED2026 part 1 focused on AI and how ironically AI is a forcing function to rediscover our humanity.

https://t.co/MXK40AkHUf

[Juan Sequeda @juansequeda]

Data teams, Think Like a Librarian! with Jenna Jordan & Amalia Child https://t.co/OwsA9jyuVb

[Juan Sequeda @juansequeda]

The Void Between Data and Decisions with Pete Williams https://t.co/Qbm1aCNXCK

[Juan Sequeda @juansequeda]

@ToBeJazz Expand please maybe this is the case of code being data?

[Juan Sequeda @juansequeda]

Starting to work with ontologies? Think about these two dimensions: WHAT (Formal, Explicit and Shared Meaning) and WHY (Interoperability, Automation).

https://t.co/nQytdsz6IH

[Juan Sequeda @juansequeda]

It's Friday, Juan & Tim rant about Knowledge Graphs w/ Jesus Barrasa https://t.co/JUpO1Jm2DQ

[Juan Sequeda @juansequeda]

The Wrong Mandate: Why Boards Set Data & AI to Fail with Kyle Winterbottom https://t.co/hd5dNoSH7J

[Juan Sequeda @juansequeda]

AI Governance Is Everyone's Problem (And That's Actually Good News) https://t.co/xKaHohGuGy

[The Year of the Graph @TheYotg]

Beyond Context Graphs: How Ontology, Semantics, and Knowledge Graphs Define Context

What are context graphs, what are they good for, and why are they dubbed AI’s trillion-dollar opportunity?

What does context mean actually, and how can it be defined using graphs and ontologies? And how can different types of graphs and graph technologies power AI?

Gartner highlighted Data Management, Semantic Layers, and GraphRAG as Top Trends in Data and Analytics for 2026. Startups and incumbents in the graph technology space are making progress, while graph is becoming the fastest growing segment in AI research.

A comprehensive, up-to-date repository, visualization, and analysis of offerings across the graph technology space has been unveiled.

New and existing combinations of Graphs and AI are being used to power use cases such as software engineering productivity and supporting enterprise needs at Netflix scale.

New graph database products, features, and benchmarks are available. Use cases as well as research and development on ontologies are on the rise too, including topics such as Enterprise Architecture, visual tooling, and quality assessment for LLM-assisted use of ontologies.

And yet, the most widely discussed topic in the world of graph technology – and beyond – for this past couple of months has been context graphs. So what are context graphs and where do they fit in the graph technology landscape?

In this issue of the Year of the Graph, we explore progress in Ontology, Semantics, Knowledge Graphs, Graph Databases and Analytics, and how these technologies can help define context and power AI.

Read here 👉 https://t.co/pxabFH0ide

cc @SteveHedden @lettria @BarrasaDV @AlexanderErdl @raphaelmansuy @AvagyanVitali @shasbe @Franzinc @SurrealDB @cognee_ @michael_galkin