Abstract
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.
#### Références
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/
#### Auteurs/Autrices
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