Andreas Blumauer

Every enterprise nowadays is awash in data, content, and knowledge, the understanding of which is all too often available only in employees' heads.

Forward-thinking businesses are moving to knowledge graphs to capture that tacit knowledge so that they can better understand and use it.

Andreas Blumauer shows how those graphs work best when they're accompanied by a domain knowledge model, creating a "semantic layer" that provides a vivid map of your business knowledge.

We talked about:

the recent merger of his company, Semantic Web Company, with Ontotext to form a new company, Graphwise, which aims to help enterprises build their semantic layer

the 20-year-old origin story behind his definition and description of a semantic layer

the emerging trend he sees of data, content, and knowledge people coming together, often around explorations of language and content structure

how getting domain knowledge out of people's heads and into multimodal AI architectures can streamline business research

how a semantic layer provides a map of your business knowledge

the importance of a domain knowledge model in a semantic layer architecture

the inadequacy of "desktop data integration," the practice of calling colleagues, consulting varied sources, and otherwise searching through ad hoc enterprise knowledge sources, and the stress it can cause

how a domain knowledge model can connect and reveal knowledge across an organization

the surprisingly small footprint of the domain knowledge model in an enterprise knowledge graph, typically just 1% or so of the semantic layer

how LLMs can help in the discovery of data and the construction of knowledge graphs

the two main elements of the semantic layer: domain knowledge models (taxonomies, ontologies, etc.) and an automatically generated enterprise knowledge graph

the different perceptions of the value of the semantic layer across data and content professionals, and how the arrival of gen AI has resulted in them talking together more to each other

how the semantic layer can facilitate the alignment of vocabularies and the understanding of data across business divisions

the benefits of a hybrid centralized-decentralized/global-local "glocalization" semantic layer strategy

Andreas' bio

Andreas Blumauer is SVP Growth at Graphwise, and CEO and founder of the Semantic Web Company (SWC), provider and developer of the PoolParty Semantic Platform and leading solution provider in the field of semantic AI and RAG. For more than 20 years, he has worked with more than 200 organizations worldwide to deliver AI and semantic search solutions, knowledge platforms, content hubs and related data modeling and integration services. Most recently, Andreas has been involved in the development of AI-powered ESG solutions for companies and investors.

A globally recognized thought leader and author in the field of semantic AI and graph technologies, Andreas has helped define and implement knowledge and AI strategies for various industries and domains. He is the author of "The Knowledge Graph Cookbook: Recipes that Work", a practical guide to building and deploying knowledge graphs in organizations. He is passionate about enabling clients to harness the power of semantic AI and graph technologies to achieve their business goals and make a social contribution.

Since 2022, Andreas has focused primarily on developing AI-based solutions that help organizations implement ESG and sustainable systems.

Connect with Andreas online

LinkedIn

Graphwise

Resources mentioned in this episode

Knowledge Graphs, LLMs and Semantic AI LinkedIn group

From Data to Trust: Leveraging Knowledge Graphs for Enterprise AI Solutions webinar

Enterprise architecture model that includes a semantic layer

Video

Here’s the video version of our conversation:

https://youtu.be/dEQh6m6zoDE

Podcast intro transcript