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Empower Machine Learning with ArangoGraphML
"ArangoGraphML is the next level of predictive power for Argos to predict the movement and activities of bad actors before they happen. As our customers extend our platform to use cases such as Fraud Detection, this predictive power is unmatched as an addition to existing financial applications."
Schedule a Demo Today
to discover the power and flexibility of the ArangoDB Data Science Suite.
Read The
Whitepaper
on LLMs + Knowledge Graphs.
Superior Predictive Power
Enhance your machine learning models with the power of graph data. ArangoDB’s GraphML provides superior predictive analytics for more accurate results. By incorporating graph-based features and relationships, you can improve model performance and achieve deeper insights into your data across multiple, real-world use cases.
Jupyter Notebooks for GraphML
Jupyter Notebooks provide an intuitive interface to develop, test, and iterate on your GraphML applications, ensuring that your machine learning models are both robust and efficient. Integrate seamlessly with your existing data science environment to execute complex graph algorithms, visualize graph structures, and refine machine learning models in an interactive and collaborative setting.
ML for Knowledge Graphs + Multi-Model
Deploy GraphML solutions rapidly on top of your Knowledge Graphs in ArangoDB. With ArangoDB’s multi-model capabilities, you can easily integrate structured and unstructured data, enriching your machine learning models with comprehensive graph insights.
GraphML Power for
Real-World Use Cases
Whether it’s Fraud Prevention, Cyber Security, Recommendations, or Customer/Patient 360, or Government/Intelligence, ArangoGraphML delivers rapid time to market for virtually any use case that can benefit from a predictive element in identifying issues and threats before they degrade or even bring down business operations.
Schedule a Demo Today
to discover the power and flexibility of the ArangoDB Data Science Suite.
Read The
Whitepaper
on LLMs + Knowledge Graphs.