Carefully selected. Rigorously Tested. Enterprise Ready. Original algorithms for data scientists to read, use and share.
AI systems tend to operate in the darkness of black boxes. Input data is transformed into decisions without much human-readable justification. The journey from data to insights requires a crucial data comprehension stage, so the direction of an AI/ML model is fully explainable. Omitting this stage may produce a result that is not actionable, causing the AI project to dead-end.
AI-Rover™ is the full implementation of an explainable AI algorithm on a virtualized notebook, in concert with Zeblok's GPU-powered data lake, Edge connectivity and other components. AI-Rover™ discovers and visually explains patterns in complex datasets as well as the causal relationships underlying those patterns, supporting data analysts in the construction of trust-able decision-making AI models. Zeblok's accelerated data lake enables rapid querying of multiple disparate data sources. AI-Rover™ enables the crucial data comprehension phase to properly target the direction of an AI project.
Say goodbye to tedious data exploration and instead gain quick access to the hidden information in your data within an easy to understand visual interface that enables users to intuitively derive subpopulations of data attributes, leading to better predictive insights.