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PoolParty Summit 2024

Gary Leicester, Content Metadata Controller at CABI

CABI’s mission is to improve lives globally by providing information and applying scientific expertise to solve problems in agriculture and the environment. Integral to this mission, the CABI Thesaurus, indexing 15 million abstract records in the CABI Digital Library, faced challenges at the start of 2023. It was siloed, hard to maintain, and disconnected from CABI’s broader initiatives. A transformative year later, the Thesaurus is rejuvenated, reborn in SKOS/RDF, and tightly integrated with 80,000 CABI Compendium datasheets. It now powers Invasive Species Detection, Pest Risk Analysis, and Horizon Scanning tools, and is poised to bring a greatly enhanced search and discovery experience across the CABI Digital Library. Gary Leicester, Content Metadata Controller at CABI, shares how PoolParty was instrumental to this transformation.

Amber Simpson, Senior Manager, Knowledge Management at Walmart.
Heather Hedden, Senior Consultant at Enterprise Knowledge.
There is a growing need within skills-based organizations to align employee training with skills and roles. Taxonomies can help provide a foundation to align skills to learning content. Amber Simpson discusses Walmart’s current effort to push learning content to associates by providing them skills for their current and next role and recommend learning paths. Heather Hedden looks at issues involved in coming up with taxonomy of skills, the importance of considering the different users of a skills taxonomy, how skills can be linked to roles in a simple ontology, and the challenges in application frontend design.

Dorian Selz, Co-Founder and CEO at Squirro.

In the rapidly evolving landscape of data analytics, the integration of graph technology into an Insights platform represents a significant leap forward in harnessing the power of complex data relationships for enhanced insight generation. This presentation delves into the technical and strategic advantages of merging graph databases with an Insight Engine’s advanced data analytics capabilities. This session aims to provide a comprehensive overview of the implementation process, the challenges overcome, and the tangible benefits realized through this integration.

Sebastian Gabler, Chief Customer Officer at Semantic Web Company.

Want to know how to make a Large Language Model (LLM) even better? Join CCO Sebastian Gabler in this short session where he will walk you through the Generative AI Product Bundle that we are currently developing. We use Semantic Retrieval Augmented Generation (RAG) to make LLMs more reliable by incorporating relevant, up-to-date knowledge directly related to a user’s query. The result? A complete new search experience for the workplace of the future using the Semantic RAG.

Andreas Blumauer, CEO and Co-Founder at Semantic Web Company.
Anna Fensel, Professor, Dr., Wageningen University & Research at the Netherlands.
Caroline Coward, Information Science Manager/Library Group Supervisor at Jet Propulsion Laboratory NASA.
Ethan Hamilton, Data Engineer at Enterprise Knowledge.
Joe Gelb, President and Head of Business Development at Zoomin.
Michael Iantosca, Senior Director, Platform & Tools at Avalara Inc.
Martin Kaltenböck, CFO and Co-Founder at Semantic Web Company.

Alexi Lopez-Lorca, Associate Director of Professional Services at Semantic Web Company.
Frederick Bednar, Data Analytics and Data Science Consultant at EBCONT.

PoolParty for SharePoint is a solution integrated with SharePoint Online that uses fully explainable Semantic AI to enable knowledge transfer and discovery across an organization. It models the knowledge of experts in a customized business domain and automates the workflows of managing content in SharePoint. Last year was our official launch of the product – this year is our chance to talk about some of our new exciting features and developments.

Tune in to hear PoolParty for SharePoint Product Manager Alexi Lopez-Lorca and Frederick Bednar, Data Analytics and Data Science Consultant at EBCONT, talk about the benefits having automated tagging and semantic search in SharePoint.

Jans Aasman, CEO at Franz Inc..

Andreas Blumauer, CEO and Co-Founder at Semantic Web Company.

Amber Swope, DITA Specialist and Information Manager at DITA Strategies Inc.
Elsa Sklavounou, Vice President AI Alliances, Global Partnerships at RWS
Karsten Schrempp, Founder and Managing Partner at PANTOPIX
Klaus Fleischmann, CEO at Kaleidoscope
Michael Iantosca, Senior Director, Platform & Tools at Avalara Inc.
Toni Byrd Ressaire, Director of Innovation at Technically Write IT
Helmut Nagy, CPO at Semantic Web Company

Michael Schwaerzler, Head, Computational Technology at Takeda.

“All our data has to be findable, accessible, linked, and understandable for our members!” This statement, well-known in many organizations and enterprises, poses a severe challenge in a Pharmaceutical Process Development environment in which data is not only highly regulated and protected but partly decades old, highly heterogeneous, multi-lingual, originating from various active (and many more legacy) systems, and governed on various enterprise levels – it is also highly context-specific and has been historically captured mainly for documentation purposes. This talk aims to recapitulate the journey from an innovative idea for revolutionizing Takeda’s data management and utilization approach to a finished product in the form of a semantic search application built on top of the PoolParty Suite, allowing our pharmaceutical scientists and program managers to explore and discover their data treasures. In particular, I want to focus on the challenges that we did not expect at the beginning: communicating the complexity of such a project to a non-IT audience; dealing with expectations, skepticism, and conflicts of interest; balancing changing requirements; and confronting data owners with discovered data gaps. Ultimately, this journey not only transformed our data management practices but also led to revisiting the organization’s business processes related to data capturing and standardization, and sparked ideas for various future use cases built on top of our semantic layer.

Daniel Gallar, Associate Director of Sales at Semantic Web Company.
Lorenzo Tosi, ESG Solutions Engineer at Semantic Web Company.

In the digital workplace, intelligent recommender systems should represent the vast ecosystem of an organization and understand to some extent how information actually fits together. Employees aren’t looking for “others also bought” suggestions that are typical from ecommerce sites, but are looking instead for documents for further reading, topic connections, and answers to complex queries.

The PoolParty Recommender helps workers complete their often complex work steps more efficiently and error-free with a knowledge-based recommender system approach. This approach is tailored to an organization and the specific knowledge domain it is built for, making the recommendations more accurate and trustworthy. This is especially helpful when working in a sophisticated domain like sustainability and ESG – where data is abundant and frameworks are overwhelming. A PoolParty Recommender can help support compliance checks along predefined frameworks and offer smart recommendations regarding possible opportunities, e.g. in the area of clean technologies.

This presentation, led by SWC’s Associate Director of Sales Daniel Gallar and ESG Solutions Engineer Lorenzo Tosi, will explore business benefits of the PoolParty Recommender along with ESG use cases and a demo.

Josef Baumüller, University Lecturer and Researcher at TU Wien.
Nathalie Ghorayeb, ESG Business Developer at Semantic Web Company.
Josef Baumüller, University Lecturer and Researcher at TU Wien.

Nikhil Acharya, Knowledge Engineer at PANTOPIX.

Krasimira Bozhanova, Solutions Architect at Ontotext

Tomas Knap, CTO at Semantic Web Company
Christian Blaschke, Product Owner at Semantic Web Company
Helmut Nagy, COO and Strategic Product Manager at Semantic Web Company

Shaun McDonald, Senior Content Engineer at Oxford University Press.

While OUP is known for publishing books and journals, our online customers engage with this content in smaller pieces. Publication processes that semantically tag our books and journals are too broad as-is and far too costly to fine-tune and apply to their constituent parts, which number in the millions. This is one of the use-cases the Taxonomy Classification Service was designed to address by leveraging machine learning via PoolParty’s Semantic Classifier component.