Dave McComb - The Unreasonable Power of Semantics and Knowledge Graphs
Nov 8, 2023
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Dave McComb, CEO of Semantic Arts, discusses the power of semantics and knowledge graphs in data interoperability. Topics include data-centric revolution, interconnected data systems, challenges in ERP systems, and future of accounting with knowledge graphs.
Knowledge graphs facilitate data integration and streamline processes effectively.
Data interoperability should focus on connecting data at a fundamental level within an enterprise.
Deep dives
Adopting Knowledge Graphs for Central Data Model in Enterprises
Enterprises, regardless of size, face challenges due to scattered information across various systems. Adopting knowledge graphs helps in integrating data effectively. It streamlines processes by providing a centralized data model where information is born, integrated, and remains connected.
Importance of Interoperability in Data Integration
Data interoperability plays a crucial role in connecting different data sets within an enterprise. While people often associate interoperability with APIs and technology, the true focus should be on connecting data at a fundamental level to avoid scattered information across multiple systems.
Software Waste Land: Revealing System Complexity and Cost Escalations
The book 'Software Waste Land' exposes the pitfalls of system complexity and cost escalation in modern applications. It emphasizes how the incentive structure in technology often leads to rising implementation costs, contrary to expectations of cost reduction over time.
Data Central Revolution: Transforming Enterprise Data Management
The 'Data Central Revolution' advocates for a transformation in enterprise data management by emphasizing a single, extensible model for the entire organization. This approach focuses on simplifying and streamlining data integration processes, leading to a gradual modernization rather than complex legacy system replacements.
Dave McComb (CEO of Semantic Arts) is one of the most thoughtful and original people I know in the data space, having pioneered the use of semantics and knowledge graphs in the 1990s. We talk about a wide range of topics, including interoperability at the data level, the data-centric revolution, and much more.
Note - there was a weird and unresolved connection issue that caused some static at varying points during our call.
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