Artificial Intelligence Powered By Knowledge Graph
End-to-End Machine Learning Process In A Single Platform To Accelerate Time To Production Results, And Deliver Better Results!
Increase Context For Machine Learning With Graph
DataWalk can be utilized as a machine learning platform that enables you to quickly integrate,link and analyze all your internal and external data in a business representation through connections between business entities, processes, and events. Strong knowledge graph and LLM foundation allows you to derive new insights and patterns from vast amounts of existing data and metadata quicker than ever. DataWalk embeds AI machine learning to automatically complete, clean, overwrite, fix and enrich data so that it can quickly be used for further analysis.Collaboration At The Enterprise Level
The knowledge graph interface allows data engineers, data scientists and citizen data scientists who are less technical to collaborate and accelerate results from machine learning. This fosters faster results from AI and machine learning without the need for separate workflows. It's a platform that makes the power of AI including generative AI / large language models (LLM) accessible to everyone involved in the process.Automated Data Engineering Pipeline
With DataWalk’s) capabilities you do not need to think about maintaining dozens of ETL tasks created from hundreds of lines of code. DataWalk is designed to support an entire enterprise data processing pipeline, automating it in the most optimal way, such that you can eliminate the need for further optimization regardless of whether it’s feature generation or any other data manipulation.Jupyter Notebook Interface for AI, ML and GenAI (LLM)
With DataWalk you can access your knowledge graph via the Jupyter Notebook interface*, which enables you to create a sandbox with a separate data model for AI and machine learning usage. This allows for experimentation with various LLMs and standard or graph machine learning algorithms on large datasets.AutoML And Explainable AI (XAI)
If desired, you can automate the tasks of applying machine learning with AutoML, including feature selection, hyperparameter tuning, iterative modeling, and model assessment. Then the model can be explained using various global Explainable AI (XAI) techniques,building trust in your artificial intelligence and machine learning solutions.One-Click Production Deployment
The DataWalk graph machine learning platform provides a Kedro starter** that guides Data Scientists to follow a predefined project structure to create both training and inference pipelines. When the best performing model is selected, it can then be instantly deployed in production without re-coding, with just a single click.