Thank you for taking part in the
PoolParty Summit 2021
ALL THE RECORDED VIDEOS TO THE SUMMIT CAN BE FOUND HERE
DAY 1 – Optimizing Product Management Processes with 360-Degree Views
Watch the presentations about Product 360.
- Enterprise 360 - Creating Holistic Views of Heterogeneous Data
- Knowledge graphs in machinery and plant engineering
- From Unknowable Chaos to Knowledge Graph
- Safety and Reliability in Industrial Operations using Semantic AI
- Round Table with Panelists
Andreas Blumauer, CEO, Semantic Web Company, Founder of PoolParty
The key to successful digital transformation of any company is to be able to dynamically generate comprehensive 360-degree views of core processes and business objects. Making holistic views of heterogeneous data landscapes available to knowledge workers in their individual contexts is the most efficient way to turn data into real competitive advantages.
Karsten Schrempp, Managing Director PANTOPIX
Machinery and plant engineering companies all over the world are highly interested in the use of knowledge graphs at the moment. We show two different use cases based on customer projects
Dana Bublitz, Senior Information Architect at Microsoft
Using PoolParty, the Information Architecture team at Microsoft Docs has been able to modernize their taxonomy management capabilities and give meaning to a complex information environment.
Simon Rogers, Digital Transformation Consultant, Yokogawa Korea
Shift team effectiveness is critical to safety in the process industries, where ineffective shift handover is a significant source of incidents. This talk describes how semantic web technology can be used to effectively address this challenge using an operations management knowledge graph.
Panelists: Simon Rogers, Dana Bublitz and Karsten Schrempp
Moderation: Florian Bauer
Meet and discuss! Tell us your experiences in the field and get feedback and inspiration!
DAY 1 – Improving and Personalizing the Customer Experience with 360-Degree Views
Watch the presentations about Customer 360
- Why 360? – It’s All About Improving the Content-Driven Experience
- How PoolParty Helps Us to Model Our Product Knowledge Graph
- Moving to a Data-Centric World: Building a Consumer Health Data Fabric
- Round Table with Panelists
John Kottcamp, Chief Marketing Technologist
In this session, we will explore how we can use semantic AI and knowledge graphs to inform and improve the content-driven experience at every step along the content supply chain journey. We’ll travel from the creation and organization of the content through to the presentation and measurement of the content’s performance.
Charles Gouwy, Product Owner Knowlegde Graph for Publication at ADEO
I will explain the key points that made us choose Poolparty as a software to manage our taxonomies and ontologie when we started our project. And then how it helps us to maintain on a daily basis our taxonomies in an international context, and how it is integrated in our environment thanks to its APIs.
James Humffray, Information Manager at Health Direct Australia
Since the beginning of this year we have been working towards building a data fabric – that stitches together the content, data or metadata from all our sources into an RDF data layer. From this data layer we can get a 360-degree view of all our content.
Panelists: John Kottcamp, Charles Gouwy, James Humffray
Moderation: Andreas Blumauer
Meet and discuss! Tell us your experiences in the field and get feedback and inspiration!
DAY 2 – Fostering Enriched Employee Pathways with 360-Degree Views
Watch the presentations about Employee 360.
- Employee 360 in Action
- An ontology for a universal guidance journey
- Improving Experiences Through A 360 Taxonomical Approach
- Round Table with Panelists
Zach Wahl, Chief Executive Officer at Enterprise Knowledge, LLC
Joseph Hilger, Chief Operating Officer at Enterprise Knowledge, LLC
As part of the presentation, Zach and Joe will share stories and best practices around creating knowledge graphs that capture the full lifecycle of the employee journey from hiring through when they leave the organization. Attendees will learn how to integrate information from multiple sources into a single view that shares everything about an employee.
François Violette, Product Manager, Senior Information Architect at JobTeaser
PoolParty not only enables to quickly model and easily distribute data for new domains, but also to create alignment with key dimensions within our career centers, leveraging innovative ways for HR professionals and career counselors to engage with students and young graduates.
Alex Ragland, Director, Digital Innovation & Customer Experience at RGP
Jonathan Nguyen, Knowledge Management Content/Taxonomy Manager at RGP
In today’s dynamic work environment where spaces are changing from remote to hybrid to in-office, it’s becoming increasingly difficult to navigate and optimize the employee journey for better business value.
We’ll be sharing some initiatives that strive to analyze the impacts of different business aspects on the employee experience and enhance it from a 360 approach leveraging the power of taxonomy, governance, and PoolParty’s semantic management capabilities.
Panelists: Zach Wahl, Joseph Hilger, François Violette
Moderation: Helmut Nagy
Meet and discuss! Tell us your experiences in the field and get feedback and inspiration!
DAY 2 – Witnessing Semantic Tools at Work
Watch the presentations about PoolParty integrations.
- Leveraging User Intent in Content Management
- Semantic Question - Answering
- Scaling up PoolParty with GraphDB
- Recommender Systems that Work
Arpita Maity, Product Management Data Science & Knowledge Graph, RWS
Joe Pairman, Senior Product Manager, Tridion Docs, RWS
Combining the power of knowledge graphs, machine learning, and content management bring explainability and accuracy to businesses. This is why we are working together with PoolParty to bring operational excellence to businesses by combining our content management technology with the core services from Semantic Web company.
Dennis Diefenbach, CEO & CTO at The QA Company
Ioanna Lytra, Data Engineer at Semantic Web Company GmbH
Unstructured documents encode a lot of Enterprise Data. Sometimes one is searching for a particular passage in a document, but there are other scenarios where one wants to combine information across the document. For example in a human resource use case we are searching for people with particular competences that are described in a CV, e.g. “Who can program in java and C++”. In a product catalogue, we are searching for products matching precise criteria “What are chairs for children that are red”. We show how this use cases can be addressed by combining the powerful Poolparty Extraction Framework and the Question Answer understanding capabilities of QAnswer. All this with the power of Knowledge Graphs
Vassil Momtchev, CTO at Ontotext
Sebastian Gabler, CCO at Semantic Web Company GmbH
Organisations are constantly facing the challenges of disparate data silos among departments as well as departmental tools. Structured and unstructured data is buried and unattainable, making it hard to gain a 360 degree view of everything that is going on within their organization. Knowledge graphs address this need by integrating silos in a standards-based manner.
Peter Crocker. CEO and Co-Founder at Oxford Semantic Technologies
Florian Bauer, Chief Solutions Officer (CSO) at Semantic Web Company
Recommender systems are widely used in e-commerce platforms, where users regularly receive unsuitable tips because they are based on the principle ‘suggest more of the same’. In other words: I buy a couch and get recommended another couch the next time I’m on the website. A better recommendation would be to buy a coffee table to complete my living room, since I have a couch already. A recommender system powered by a semantic reasoner has the capacity to deliver a personal and more effective purchasing experience. The powerful combination of PoolParty and RDFox, the high-performance knowledge graph and reasoner, does just that.
Andreas Blumauer, CEO, Semantic Web Company, Founder of PoolParty
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