We’re excited to continue to release these discussions for viewing: next up, a panel moderated by Barry Byrne of Novartis, featuring Kurt Kragh Sørensen (Novartis), Daan Hannessen (Shell), and Sara Mae O’Brien-Scott (Enterprise Knowledge). And check out Daan’s pre-SLS Knowledge Cast episode!

Panel – Knowledge Graphs: The Rising Star of the Knowledge Management Toolkit

Panel Moderator: Barry Byrne (Novartis)
Panelists: Kurt Kragh Sørensen (Novartis) & Daan Hannessen (Shell) & Sara Mae O’Brien-Scott (Enterprise Knowledge)

Leading organizations are increasingly turning to knowledge graphs to connect information, enable intelligent discovery, and unlock new business value. In this panel, world-class practitioners share real stories of how they have implemented knowledge graphs as part of their knowledge management strategies. Expect practical lessons, proven approaches, and insights into why graphs are quickly becoming an essential part of the enterprise toolkit.

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We’re excited to release these discussions for viewing, starting with Ben Clinch of Ortecha (who we also got the chance to speak with ahead of the event on Knowledge Cast).

Using Semantics to Reduce Hallucinations and Overcome Agentic Limits – Neuro-Symbolic AI and the Promise of Agentic AI

Speaker: Ben Clinch (Ortecha)

With the pace of change of AI being experienced across the industry and the constant bombardment of contradictory advice it is easy to become overwhelmed and not know where to start. The promise of LLMs have been undermined by vendor and journalistic hype and an inability to rely on quantitative answers being accurate. After all, what good would a colleague be (artificial or not) if you already need to know the answer to validate any question that you ask of them? This is further compounded by the exciting promise of Agentic AI but the relative immaturity of frameworks such as MCP. The promise of neuro-symbolic AI that combines two well established technologies (semantic knowledge graphs with machine learning) enable you to get more accurate LLM powered analytics and most importantly faster time to greater data value and when leveraged alongside solid data management foundations can mitigate and empower AI Agents while limiting the inherent risks in using them.

In this practical, engaging, and fun talk, Ben equips participants with the principles and fundamentals that never change but often go under-utilized to help you lay a solid foundation for the new age of agentic AI.

The post Semantic Layer Symposium 2025: Using Semantics to Reduce Hallucinations and Overcome Agentic Limits – Neuro-Symbolic AI and the Promise of Agentic AI appeared first on Enterprise Knowledge.

Enterprise Knowledge COO Joe Hilger speaks with Michal Bachman, CEO at GraphAware. GraphAware provides technology and expertise for mission-critical graph analytics, and its graph-powered intelligence analysis platform — Hume — is used by democratic government agencies (law enforcement, intelligence, cybersecurity, defense) and Fortune 500 companies across the world.

In their conversation, Joe and Michal discuss how you can use a graph to investigate criminal networks, what’s next with graphs (hint: ensuring trustworthy AI doesn’t just mean supporting the machines), and some helpful books that experts at GraphAware have released recently.

Check out ⁠Knowledge Graphs and LLMs in Action⁠ and ⁠Neo4j: The Definitive Guide⁠ to dive deeper into the topics discussed in this episode!

If you would like to be a guest on Knowledge Cast, contact Enterprise Knowledge for more information.

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Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Daan Hannessen, Global Head of Knowledge Management at Shell. He has over 20 years experience in Knowledge Management for large knowledge-intensive organizations in Europe, Australia, and the USA, ranging from continuous improvement programs, KM transformations, lessons learned solutions, digital workplaces, AI driven expert bots, enterprise search, and much more.

In their conversation, Lulit and Daan discuss the importance of senior leadership support in ensuring the success of KM initiatives, emphasizing “speaking their language” as key to implementing KM and the semantic layer at a global scale. They also touch on how to measure the success of AI, when AI-generated content can be considered valuable insights, and why to invest in a semantic layer in the first place, as well as Daan’s talk at the upcoming Semantic Layer Symposium.

For more information on the Semantic Layer Symposium, check it out here!

If you would like to be a guest on Knowledge Cast, contact Enterprise Knowledge for more information.

The post Knowledge Cast – Daan Hannessen, Global Head of Knowledge Management at Shell – Semantic Layer Symposium Series appeared first on Enterprise Knowledge.

Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Ben Clinch, Chief Data Officer and Partner at Ortecha and Regional Lead Trainer for the EDM Council (EMEA/India). He is a sought-after public speaker and thought leader in data and AI, having held numerous senior roles in architecture and business in some of the world’s largest financial and telecommunication institutions over his 25 year career, with a passion for helping organizations thrive with their data.

In their conversation, Lulit and Ben discuss Ben’s personal journey into the world of semantics, their data architecture must-haves in a perfect world, and how to calculate the value of data and knowledge initiatives. They also preview Ben’s talk at the Semantic Layer Symposium in Copenhagen this year, which will cover the combination of semantics and LLMs and neurosymbolic AI. 

For more information on the Semantic Layer Symposium, check it out here!

If you would like to be a guest on Knowledge Cast, contact Enterprise Knowledge for more information.

The post Knowledge Cast – Ben Clinch, Chief Data Officer & Partner at Ortecha – Semantic Layer Symposium Series appeared first on Enterprise Knowledge.

The Solution

To unlock data insights across trials in one accessible location, EK designed and developed a Power BI dashboard to visualize data from multiple trials in one centralized location. To begin developing dashboards, EK met with the client to confirm the business questions the dashboards would answer, ensuring the dashboards would visually display the patient and trial information needed to answer them. To remedy the varying data formats sent by vendors, EK mapped data values from trial reports to each other, normalizing and enriching the data with metadata and lineage. With structure and standardization added to the data, the dashboards could display robust data insights into patient status with filterable trial-specific information for the clinical imaging team.

EK also worked to transform the company’s data management environment—developing a medallion architecture structure to handle historical files and enforcing data cleaning and standardization on raw data inputs—to ensure dashboard insights were accurate and scalable to the inclusion of future trials. Implementing these data quality pre-processing steps and architecture considerations prepared the company for future applications and uses of reliable data, including the development of data products or the creation of a single view into the company-wide data landscape.

The EK Difference

To support the usage, maintenance, and future expansion of the data environment and data visualization tooling, EK developed knowledge transfer materials. These proprietary materials included setting up a semantic modeling foundation via a data dictionary to explain and define dashboard fields and features, a proposed future medallion architecture, and materials to socialize and expand the usage of visualization tools to additional sections of the company that could benefit from them.

Dashboard Knowledge Transfer Framework
To ensure the longevity of the dashboard, especially with the future inclusion of additional trial data, it was essential to develop materials for future dashboard users and developers. The knowledge transfer framework designed by EK outlined a repeatable process for dashboard development with enough detail and information that someone unfamiliar with the dashboards can understand the background, use cases, data inputs, visualization outputs, and the overall purpose of the dashboarding effort. Instructions for dashboard upkeep, including how to update and add data to the dashboard as business needs evolve, were also provided.

Semantic Model Foundations: Data Dictionary
To semantically enhance the dashboards, all dashboard fields and features were cataloged and defined by EK experts in semantics and data analysis. In addition to definitions, the dictionary included purpose statements and calculation rules for each dashboard concept (where applicable). This data dictionary was created to prepare the client to process all trial information moving forward and serve as a reference for the data transformation process.

Proposed Future Architecture
To optimize data storage in the future, EK proposed a medallion architecture strategy consisting of Bronze, Silver, and Gold layers to preserve historical data and pave the way for matured logging techniques. At the time EK engaged the client, there was no proper data storage. EK’s architecture strategy detailed storage preparation considerations for each layer, including workspace creation, file retention policies, and options for ingesting and storing data. EK leveraged technical expertise and a rich background in architecture strategies to provide expert advisory on the client’s future architecture.

Roadshow Materials
EK developed materials that summarized the mission and value of the clinical imaging dashboards. These materials included a high-level overview of the dashboard ecosystem so all audiences could comprehend the dashboard’s purpose and execution. With a KM-angled focus, the overall purpose of the materials was to gain organizational buy-in for the dashboard and build awareness of the clinical imaging team and the importance of the work they do. The roadshow materials also sought to promote dashboard adoption and future expansion of dashboarding into other areas of the company.

The Results

Before the dashboard, employees had to track down various spreadsheets for each trial sent from different sources and stored in at least four different locations. After the engagement, the company had a functional dashboard that displayed on-demand data visualizations across four clinical trials that pulled from a single data repository, creating a seamless way for the clinical imaging team to identify trial data and patient discrepancies early and often, preventing errors that could have resulted in unusable trial data. In all, having multiple trials’ information available in one streamlined view through the dashboard dramatically reduced the time and effort employees had previously spent tracking down and manually analyzing raw, disparate data for insights, from as high as 1–2 hours every week to as low as 15 minutes. Clinical imaging managers are now able to quickly determine and share trusted trial insights with their leadership confidently, enabling informed decision-making with the resources to explain where those insights were derived from.

In addition to the creation of the dashboard, EK helped develop a knowledge transfer framework and future architecture and data cleaning considerations, providing the company with a clear path to expand and scale usage to more clinical trials, other business units, and new business needs. In fact, the clinical imaging team identified at least four additional trials that, as a result of EK’s foundational work, can be immediately incorporated into the dashboard as the company sees fit.

Want to improve your organization’s content data quality and architecture? Contact us today!

 

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The post How KM Leverages Semantics for AI Success appeared first on Enterprise Knowledge.

The discussion began with an overview of enterprise use cases for each approach, implementation best practices, and a live demo combining LPG and RDF frameworks. During a moderated discussion, panelists also tackled questions such as:

• What are the key benefits RDF graphs and LPGs provide?
• What are the important questions an enterprise architect should ask when designing a graph solution?
• How are recent developments in the AI space and new AI frameworks influencing when to use graph frameworks?

If your organization is exploring linked data capabilities, new AI frameworks, semantic model development, or is ready to kick off its next graph project, contact us here to help you get started.

The post Webinar: Semantic Graphs in Action – Bridging LPG and RDF Frameworks appeared first on Enterprise Knowledge.

Enterprise Knowledge’s Lulit Tesfaye, VP of Knowledge & Data Services, speaks with Paco Nathan, Developer Relations (DevRel) Leader for the Entity Resolved Knowledge Graph Practice at Senzing. He is a computer scientist with over 40 years of tech industry experience and core expertise in data science, natural language, graph technologies, and cloud computing. He’s the author of numerous books, videos, and tutorials about these topics. He also hosts the monthly “Graph Power Hour!” webinar.

In their conversation, Lulit and Paco discuss Paco’s background in the graph space, as well as current graph trends and scalable use cases for the Semantic Layer. They also touch on how to convince organizations to prioritize investments in semantic technologies and data management, and Paco shares more details on his talk about financial crimes and Semantic Layers at the upcoming Semantic Layer Symposium in Copenhagen.

For more information on the Semantic Layer Symposium, check it out here!

If you would like to be a guest on Knowledge Cast, contact Enterprise Knowledge for more information.

The post Knowledge Cast – Paco Nathan, Principal DevRel Engineer at Senzing – Semantic Layer Symposium Series appeared first on Enterprise Knowledge.

Enterprise Knowledge recently completed the first round of our new webinar series The Semantic Exchange, which offers participants an opportunity to engage in Q&A with EK’s Semantic Design thought leaders. Participants were able to engage with EK’s experts on topics such as the value of enterprise semantic architecture, best practices for generating buy-in for semantics across an organization, and techniques for semantic solution implementation. The series sparked thoughtful discussion on how to understand and address real-world semantic challenges. 

To view any of the recorded sessions and their corresponding published work – use the links below:

If you are interested in bringing semantics and data modeling solutions to your organization, contact us here!

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