Paco Nathan, Senzing, Principal DevRel Engineer

The Dark Web: an estimated $3T USD flows annually through shell corps and tax havens worldwide -- serving as the _perpetua mobilia_ for oligarchs, funding illegal weapons transfers, mercenaries, human trafficking at scale, anti-democracy campaigns,...

Gautam Verma, Barclays, Head of Financial Crime Core Platforms, Analytics and Intelligence
Philip Foster, Oxford Semantic Technologies, Chief Operating Officer

This talk shares the semantic journey so far, exploring several use cases involving knowledge graphs and the use of reasoning via a sema...

Francesco Gianferrari Pini, Quantyca, Founder

As artificial intelligence evolves, designing and orchestrating intelligent agents has become key to creating efficient systems. From basic tools performing singular tasks to autonomous agents capable of complex, iterative decision-making, AI agents ...

Karthik Soman, SAP, Palo Alto, Senior Data Scientist

In the current landscape dominated by Large Language Models, embeddings from models like Sentence Transformers have become the de facto standard for document representation, excelling at capturing semantic relationships. While these embeddings...

Arquimedes Canedo, Siemens Digital Industries Software, Distinguished Engineer
Product Lifecycle Management (PLM) is a cornerstone of modern engineering, enabling the design, development, and manufacturing of complex products such as cars and airplanes. However, PLM systems grapple with vast and ...

Mike Dillinger, hypergraf, Chief Scientist

The need for structured knowledge -- in the form of taxonomies, ontologies, and knowledge graphs -- has never been more urgent. It is crucial for evolving gen AI to next-gen AI.

But one of the blockers for deeper investment and broader deployment is th...

Mara Inglezakis Owens, Independent, Portfolio Architect

You know you need a knowledge graph to represent information relevant to your organization. You know it’s on trend. And you got’ve some money for a proof of concept or a project team.

It’s time to make a business impact. This presentation...

Tony Seale, The Knowledge Graph Guys, Founder

As tech giants build whale-sized supercomputers to train AI models, organisations must focus on mastering their most valuable asset: data. Yet most organisational data remains fragmented, unstructured, and disconnected. This session explores how the ...

Juan Sequeda, data.world, Head of AI Lab

What do enterprises lose by not investing in semantics and knowledge? The ability to reuse data effectively, wasting millions in inefficiencies and missed opportunities. Without a shared understanding of data, even the most advanced AI models struggle to ...

Rajeev Kumar, Netflix, Senior Machine Learning Engineer
Himanshu Singh, Netflix, Engineering Manager
Jayadev Chandrasekhar, Netflix, Senior Machine Learning Engineer

Netflix's mission is to entertain the world with a broad and diverse range of tastes across 190 countries. We build and maintain a...

Jay Yu, RelationalAI , VP Applied Research
Molham Aref, RelationalAi, Founder and CEO

This talk presents the practical experience of building a relational knowledge graph (RKG) at Blue Yonder to support intelligent supply chain applications—entirely within the Snowflake Data Cloud. It’s a deep d...

Isaac Koren, Wiz, CTO of Code at Wiz
Nicole Moldovan, Amazon Web Services, Principal, Amazon Neptune

Alphabet recently announced it will be acquire Wiz for a historic $32B. Learn how the Israeli company, founded in 2020, built with a graph-first approach on Amazon Neptune and scaled to become t...

Moderator
Mike Pool, Bloomberg

Panelist
Jesus Barrasa, Neo4j, Field CTO for AI
Mark Wallace, Semantic Arts, President and Ontologist
Nikos Trokanas, Scania, Ontology Architect
Peter Crocker, Oxford Semantic Technologies, CEO and co-founder

As knowledge graphs gain widespread adoption across ind...

Peter Crocker, Oxford Semantic Technologies, CEO and co-founder
Changhyup Op, Samsung Research, Samsung Electronics, Staff Engineer, Data Intelligence Team

Following many years of research, Samsung announced in January the launch of the Personal Data Engine on its Galaxy S25 model. This represe...

Preston Rasmussen, Zep AI, Senior Software Engineer

Zep is a novel memory layer for AI agents designed to address the limitations of current RAG frameworks in dynamic, real-world enterprise applications. Unlike traditional systems that rely on static corpora, Zep integrates a temporally-aware kn...

David Hughes, Enterprise Knowledge, Principal Solutions Architect
Amy Hodler, GraphGeeks, Exec Director, Founder

GraphRAG has proven to be a powerful tool across various use cases, enhancing retrieval accuracy, language model integration, and delivering deeper insights to users. However, a criti...

Rangarajan Lakshminarayanachar, Capital One, Senior Manager Software Engineering

"Conformance and Compliance can be Innovative"

In today’s data-driven enterprises, APIs and knowledge graphs are more than technical tools—they are strategic assets that drive innovation, compliance, and operationa...

Bobby Kuzma, ProCircular, Director of Offensive Cyber Operations

In this talk, our presenters will delve into the innovative application of knowledge graphs in cybersecurity, specifically focusing on real-time penetration testing. The speakers will outline their methodology, which leverages Natu...

Jamie McCusker, Rensselaer Polytechnic Institute, Research Director

In this talk, we will explore how the Whyis Knowledge Graph Framework can be used to build knowledge graphs by extracting insights from business documents using in-context learning. Knowledge graphs transform unstructured data i...

Renu Rana

Ontologies are largely in the domain of the Ontologist or Developer, locked up in a modeling tool that few can understand. How can we make the most of the huge investment in developing an ontology? Lets see how it can be used for knowledge sharing, canonical models for data exchange,...

Stephen Chin, Neo4j, VP of Developer Relations

AI models are getting tasked to do increasingly complex and industry specific tasks where different retrieval approaches provide distinct advantages in accuracy, explainability, and cost to execute. GraphRAG retrieval models have become a powerful t...

Ora Lassila, Amazon Web Services, Principal Technologist
Adrian Gschwend, QLeverize, Zazuko, CEO

In the RDF specification, reification is probably the most disliked but also the most misunderstood feature. There has been a long-running discussion in the RDF community about how to “fix” reificati...

Souripriya Das, Oracle America, Inc., Architect and Manager

Fine-Grained Access Control (FGAC) is critical not just for government or healthcare agencies but for any enterprise that stores confidential data. While FGAC tools already exist for relational data, the unique nature of RDF data requir...