Next-Generation CPQ Tooling for Sales Enablement
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Providing prospective customers with tailored offers that fit their needs, cater to their budget, and are delivered in a timely manner is critical to business success.
In this talk held at the Ontotext Knowledge Graph Forum 2022, we introduced an innovative solution that supports sales employees in configuring, pricing, and quoting (CPQ) complex products tailored to meet specific customer requirements.
The solution is driven by a knowledge graph foundation, where knowledge that was previously hidden in sales experts' minds or hard-coded within proprietary tools becomes explicitly available and accessible to all relevant stakeholders - from sales and pre-sales employees to product managers and service engineers. With this solution, users go from having to spend hours manually reviewing available options and tediously assembling quotes, to a streamlined process that delivers an appropriate quote within seconds and allows them to spend more time on value-adding tasks.
Knowledge Espresso
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In this Knowledge Espresso, metaphacts CEO Sebastian Schmidt and metaphacts Sales & Solutions Director Kai Preuss chat with Ellie Young from The Knowledge Graph Conference and share our approach to making Knowledge Graphs more tangible and to enabling domain experts and business users to reap the benefits of connected data.
KompAKI Webinar: Flexible and Extensible Competency Management with Knowledge Graphs
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This presentation by Nicolas Heist introduces a generic competency ontology - developed by metaphacts as part of the KompAKI research project - that can be used to describe competencies of people and organizational structures in the AI domain. It covers a number of concrete application scenarios and demonstrates how organizations can leverage a Competency Knowledge Graph to quickly identify experts for upcoming projects, allocate resources based on relevant know-how, identify knowledge gaps, and foster the reuse of existing knowledge.
KGF 2021 Talk: Collaborative graph management and exploration using metaphactory’s low-code approach
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In this presentation at the 2021 Knowledge Graph Forum organized by Ontotext, metaphacts CEO Sebastian Schmidt discusses how knowledge graphs can bring tremendous benefits but can quickly become very complex to manage as the amount of connected data grows. He explains how collaborative graph management and exploration using metaphactory's low-code approach can help scale knowledge graph apps for production and drive knowledge democratization across the enterprise.
Graph path search with GraphDB 9.9 and metaphactory 4.3
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In this webinar, metaphacts and Ontotext present the graph path search implementation in GraphDB and demonstrate how the new graph path search algorithm available in GraphDB can be exposed to end users with metaphactory.
Webinar overview
Knowledge Graphs have become a popular trend in the representation of complex data, metadata and content. They offer comprehensive, consistent and unified views to information scattered across different divisions, systems and paradigms. Unsurprisingly, Knowledge Graphs are most often associated with data integration, linking, unification and information reuse because of the huge value generated by their data standardization and semantic modeling capabilities. Still, the semantic data integration task is only part of the story.
Search and graph exploration are key tools for successfully utilizing knowledge graphs. Path finding between resources can additionally enable more complex use cases which previously left users struggling. Ontotext and metaphacts can generate a lot of value on top of Knowledge Graphs in analytical use cases through graph path search and interactive visualization.
In this webinar, Ontotext and metaphacts explain why graph path search is a computationally expensive task and present the graph path search implementation in GraphDB. We compare how the different RDF and property graph databases implement it and dive into how GraphDB extends the SPARQL 1.1 standard to fully support all significant graph path search use cases.
In order to give you a feeling about the scalability and efficiency of our implementation, we test GraphDB and other engines against LDBC's Semantic Network Benchmark – one of the most advanced benchmarks for graph analytics, implemented for Property Graphs/Cypher, RDF/SPARQL and even SQL.
In the second part of the webinar, we demonstrate how the new graph path search algorithm available in GraphDB 9.9 can be exposed to end users with the metaphactory 4.3 release. We share a specific use case, taken from the clinical trial domain: How a researcher can find connections between study investigators and various other resources, like targets and diseases, which will allow them to further investigate discovered studies or medications.
Watch the webinar recording here »
Presenters
Tomas Kovachev - Software Developer, Ontotext
Sebastian Schmidt - CEO, metaphacts