Preparing and embedding graph data is usually a lengthy and complex process, because the underpinning graph system are not designed to tackle such tasks effectively with efficacy.
It usually requires multiple siloed systems to work together, lots of ETL on multiple datasets are often involved, having one unified system to tackle graph embedding is highly desirable.
Black-Box & Lack-of-Explainability
Graph embedding and Graph-based deep-learning and neural networks are also symbolized with un-explainability and black-box characteristics. To human decision makers, unexplainable AI poses great risk to their businesses!
Imagine not having to rely on multiple IT systems like Spark+Neo4j+Tensorflow for your AI/graph training. With Ultipa, graph embedding & learning can be done in one central place with simplicity and ease!
AI over graph is a whole new area that’s being actively explored by academic and industrial researchers and programmers. Ultipa Graph offers far superior performance to other databases, often times 10x-to-100x faster.
AI is going more and more sophisticated and un-explainable, in short, black-box to human beings, this is unacceptable and potentially a major risk to the well-being of human species. Graph has the absolute potential to fix this by white-box AI, period.
No more multiple siloed systems that require cumbersome ETL on data.
We are 10s to 100s of times faster than other graph-embedding/AI solutions.
Our integrated Ultipa KG make graph embedding and AI explainable/white-box.