Flexible AI Knowledge Fabrics for Enterprise Event Processing



Data Fabrics are emerging as the most effective means of integrating knowledge throughout the Enterprise and coupled with Knowledge Graphs they deliver a unique, symbiotic relationship because the combination streamlines the process to extract data and build knowledge from the myriad of sources that comprise Enterprise data.

Data Fabrics are emerging as the most effective means of integrating knowledge throughout the Enterprise. Experts agree these fabrics are the future of enterprise analytics and AI. Gartner recommends “Data and analytics leaders must upgrade to a Data Fabric design that enables dynamic and augmented data integration in support of their data management strategy.” Forrester states that “Enterprise architecture (EA) pros should use data fabric to democratize data across the enterprise for various use cases.”

Data fabrics offer a cohesive means of integrating and sharing data regardless of differences in format, technology, or location. Data fabrics are considered the most mature means of data integration because they organize the exchange of semi-structured, unstructured, and structured data—while offering a single access point to all data.

Knowledge Graphs are essential for governing content in terms of access management, data provenance, and data quality while unifying the terminology used to describe these assets across business lines, in an organization.

Data Fabrics and Knowledge Graphs have a unique, symbiotic relationship because they substantially streamline the processes to extract data from the myriad of sources that populate these platforms. Knowledge Graphs are key to providing fundamental capabilities enabling Data Fabrics to accomplish this objective.

During this presentation we will discuss success stories for Supply Chain, Healthcare, and Intelligent Call Centers as well as best practices for building Knowledge Graphs and developing a path toward an Enterprise-wide Knowledge Fabric.


Connected Data World - The future of AI in the Enterprise: Entity-Event Knowledge Graphs for Data-Centric Organizations - October 5, 2021 https://pod.co/the-connected-data-podcast/the-future-of-ai-in-the-enterprise-entity-event -knowledge-graphs-for-data-centric-organizations

Data.World - Catalog and Cocktails - “Fashion Week but for Data” - Sept 22, 2021 https://youtu.be/J3It3ccKtfc

Chaos Orchestra - Cognitive Graph Models - Sept 2, 2021 https://youtu.be/eguOMlvPmJg

Data Summit Connect - Why Graph Neural Networks (GNNs) are Transforming AI Knowledge Graphs - May 12, 2021 https://www.dbta.com/DataSummit/2021/default.aspx https://youtu.be/0F6QKI90ojU

Knowledge Graph Conference - Knowledge Graph Adoption in the Financial Industry - May 5, 2021 https://www.knowledgegraph.tech/

Enterprise Data World - Entity-Event Knowledge Graphs for Data-Centric Organizations

  • April 21, 2021 https://edw2021.dataversity.net/


Jans Aasman is a Ph.D. psychologist and expert in Cognitive Science - as well as CEO of Franz Inc., an early innovator in Artificial Intelligence and provider of KnowledgeGraph Solutions based on AllegroGraph. As both a scientist and CEO, Dr. Aasman continues to break ground in the areas of Artificial Intelligence and Knowledge Graphs as he works hand-in-hand with numerous Fortune 500 organizations as well as government entities worldwide.

https://www.linkedin.com/in/jans-aasman https://en.wikipedia.org/wiki/Jans_Aasman