Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs and graph technology" - Axel Morgner
1 like458 views
The document discusses the competitive advantages of knowledge graphs and graph technology, presented by Structr GmbH, a company specializing in graph application platforms. It highlights the evolution of graph technology, its benefits over traditional databases, and various use cases such as decision trees and artificial intelligence. The conclusion emphasizes the importance of utilizing graph technology to enhance organizational impact.
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs and graph technology" - Axel Morgner
- 1. _Competitive Advantages with Knowledge Graphs and Graph Technology September 24, 2019
- 2. Axel Morgner Co-Founder / Managing Director Structr GmbH
- 3. Contents _ About us _ Graph Technology _ Knowledge Graphs _ Examples and Competitive Advantages
- 4. About us Structr GmbH | Mission Statements | Customers & Clients
- 6. Mission Statements Graph Technology for People Create Tools You Enjoy Working With Support organizations in their digital transformation through graph technology. Make software development efficient, predictable and hassle-free with user-friendly software tools.
- 7. From Foundation until Today _ Emerged 2010 from the open source project Structr _ Founded 2011 as Morgner UG (limited liability) _ Renamed Structr GmbH in 2015 _ Headquarters in Frankfurt am Main _ Currently 11 employees at two locations
- 8. Business Areas _ Company behind the Structr Graph Application Platform _ Individual software development _ Software projects _ Graph Technology Consulting
- 10. Graph Technology History | Trend | Evolution
- 12. Graphs The Best Abstraction _ Abstraction of the real world _ Abstraction of physical objects _ Abstract concepts and relations _ Interactions _ Relations of all kind
- 13. Seven Bridges of Königsberg Leonard Euler (1736) Graphs The Best Abstraction
- 17. Euler (1736) About 250 years later... ERM (1970s) UML (1990s) RDF (2000s) Graphs The Best Abstraction A D C B
- 19. But Why? ? ? ? ?
- 20. Two Reasons: ? ? Simplification Technology
- 21. Simplification & Technology Property Graph Model (Native) Graph Database
- 22. Graph Database
- 23. Graph Technology: The Ideal Implementation _ Simple and intuitive (“Whiteboard-friendly”) _ Fewer technical layers _ Fast queries without join operations _ Flexible (schema-less)
- 24. Evolution or (Graph) Use Cases Complexity Data Volume Content Management Recommendation Engines Social Networks Network Operations Master Data Management Decision Trees Configuration Management Internet of Things Risk Management Artificial Intelligence Fraud Detection Machine Learning Contextual Learning Knowledge Graphs Natural Language Processing Systems become more and more intelligent
- 25. Evolution of Graph Technology API API API API API Query Language Query Language Query Language Query Language ETL ETL ETL Applications Applications AnalyticsVisualization DriversAdmin AnalyticsVisualization DriversAdmin Application and Integration Platform
- 27. _ Software applications defined as graph _ Flexible, semantic meta data model _ 100% freedom for developers _ Zero deployment time _ Integrated security system (users, groups, roles) _ Integrated content and document management _ Web IDE Structr - The Graph Application Platform
- 28. Tools You Enjoy Working With
- 29. Knowledge Graphs Trend | Definition
- 30. 2018 2019
- 31. Knowledge + Graphs Traditional Databases Graph Databases Graph Technology Applications
- 32. Examples Use Cases | Competitive Advantages
- 33. Anti-Money Laundering _ 2,000 billion USD worldwide (est.) _ 100 billion EUR Germany only (est.) _ Worldwide and widespread _ Correlates with other illegal activities
- 35. Conclusion
- 36. Conclusion _ Use Graph Technology to build Knowledge Graph Apps to make a positive impact on your organization.
- 37. Questions?
- 38. Thank You! _ structr.com _ github.com/structr/structr _ twitter.com/structr _ linkedin.com/company/structr