Resources - videos - page 4

Videos, Slides, Case Studies and other GraphAware related resources

Social media monitoring with ML-powered Knowledge Graph - Talk

10 Oct 2019 videos ML KG

Are you interested in learning about how machine learning can be leveraged to build a knowledge graph, enabling businesses to differentiate themselves and thrive in today’s competitive marketplace? In this talk, we’ll show you how computer vision, natural language processing and understanding, knowledge enrichment, and graph-native algorithms can be combined to extract valuable insights from various unstructured data sources. Whether you’re a business owner looking to gain a competitive edge or a developer looking to expand your skillset, this talk is sure to be of interest to you.

Fix your microservice architecture using graph analysis - full video

10 Oct 2019 videos microservices graphs analytics

To improve the performance of your microservice architecture, you may consider using graph analysis techniques. By using tools like jQAssistant and Neo4j, you can identify potential issues, better understand the relationships between different services, and even analyze the potential impact of changes on your system. With these tools, you can answer questions like:

Are there any antipatterns present in my microservice architecture? How will certain database refactoring efforts affect the other services in my system? Is my API documentation and specification accurate and up to date? Can I get a clear and current visualization of my entire system?

By implementing graph analysis techniques, you can work towards optimizing the design and functionality of your microservice architecture.

Challenges in knowledge graph visualization

10 Oct 2019 videos KG visualisation

Visualizing a complex graph is a task of graph simplification and providing well-thought visual cues, the best UI goes unnoticed. This talk will summarize current approaches and present a novel user interaction pattern, which takes advantage of a performant Neo4j graph engine.