Moderator
Carl Latham, Ontoforce, VP Sales & Partnerships

Panelist
Ted Slater, EPAM Systems, Managing Principal, Scientific Informatics Knowledge Engineering
Tom Plasterer, XponentL Data, Managing Director, Life Sciences Innovation
Helena Deus, BMS, Director
Umesh Bhatt

This talk will discuss how Gen-AI technology is gaining steam in regulated industries across the life sciences domain. This technology presents challenges to utilization in these environments because the LLMs alone often produce erroneous information that cannot be trusted. For example, this talk...

Ryan Chandler, AbbVie, Knowledge Graph Engineer

The presentation by Ryan Chandler, PhD a Knowledge Graph Engineer from AbbVie, delves into "GeneRank," a project focused on leveraging AbbVie’s R&D Convergence Hub, ARCH Knowledge Graph to extract valuable gene-disease associations. This initiative...

Paulina Gacek, AGH University of Krakow, Research and Teaching Assistant Intern
Oliwia Salamon, AGH University of Krakow, Student

Atanas Kiryakov, Graphwise, President

Henry Su, AbbVie, Inc., Associate Data Engineer II

This session will demonstrate the technical roadmap and capabilities of CAGE, the Contextual ARCH Graph Environment that provides the Context Graph to the company's existing R&D Knowledge Graph, ARCH. The presentation will dive into the business...

Kaushik Roy, University of South Carolina, Student

Neurosymbolic AI is a rapidly evolving and emerging field. In recent works, researchers have proposed several conceptualizations of neurosymbolic AI, yet the field still lacks a unified perspective on how different symbolic formalisms, ranging f...

Discover how AI meets business knowledge at the “AI Knowledge, Rising Stars Night” on May 6, 2025, 1 PM, EST time.

Get inspired by what the best KnowHax teams have developed for three weeks in April this year, and how they supported several U.S. National Science Foundation's "Knowledge Networks"...

Relational database systems are the de facto systems to implement data-intensive applications. Yet, many classes of applications require different data models, query languages, and/or computational capabilities from their underlying data systems. This 90-minute tutorial will cover three classes o...

Giuseppe Futia, CSI - Piedmontese Consortium for Information Systems (Italy), Data Engineer

Knowledge Graphs (KGs) are essential for data integration and analytics, yet selecting the right technology stack remains challenging. While Label Property Graphs (LPG) enable the usage of powerful graph-...

Nandana Mihindukulasooriya, IBM Research, Senior Research Scientist
Jennifer D`Souza, TIB Leibniz Information Centre for Science and Technology, Hannover, Germany, Postdoctoral Researcher

Knowledge graphs (KGs) play a crucial role in modern applications. However, automatically constructing a KG ...

Prashanth Rao, Kùzu, Inc, AI Engineer
Paco Nathan, Senzing, Principal DevRel Engineer

An important obstacle for adopting knowledge graph technology in enterprises is that virtually all of the enterprise-level data is originally stored in unstructured formats or in some structured but non-graph f...

Valerio Cocchi, Oxford Semantic Technologies, Lead Knowledge Engineer

Knowledge-based AI has been launched into the mainstream as it serves as the antidote to LLM hallucinations in RAG systems—an increasingly visible feature but just one of many critical applications in which Knowledge-based AI ...

Dean Allemang, data.world, principal solution architect

Knowledge Graphs are integral components in enterprise data management and foundational elements of reliable AI-based systems. But the question remains - how do we construct a knowledge base and populate it with our information?

For sever...

Pete Rivett, Federated Knowledge, Ontologist
Ora Lassila, Amazon Web Services, Principal Technologist
Margaret Warren, Metadata Authoring Systems, CEO/Founder

In today's AI and data-driven business landscape, “ontologies” serve as crucial tools for organizing and sharing knowledge across organiz...

Andrea Volpini, WordLift, CEO
Beatrice Gamba, WordLift, Head of Innovation

In this talk, I will present a hybrid approach that merges ontology-based reinforcement learning with a content assessment algorithm to create AI systems capable of self-refinement and tailored content generation. Drawing...