Our client, HMX.ai, provides explainable AI solutions for enterprises across a wide range of industries. Their platform-as-a-service is used for process control, ultility management, anti-corruption & fraud, risk management, and other use caaes.
What helped us achieve the project goals: best practices for mind maps, user interfaces, and continuous integration; the usage of flexible app architecture solutions, development tools, and methodologies, rich preferences for customer personalization; best design practices for managing huge amounts of structured data.
The creation and management of Cognitive Maps is a highly interactive task for users. Cognitive Maps evolve through feedback from visualizations that highlight relationships between goals and situations, show where the map needs to be expanded, changed, or reduced. Solution is designed to enable interactive creation with intuitive displays and ease-of-use features.
The Bayesian Network (BN) user interface offers the following possibilities:
When developing Cognitive Maps, users often simulate a running application so that they can examine the results and modify the Cognitive Map to achieve desired reasoning behavior. To do this, they use the Simulation capabilities that allow the user to do the following for a single complete and publishable Cognitive Map:
The solution merges the cognitive reasoning power of artificial intelligence, predictive analysis, and the performance of Big Data and cloud computing environments. The customers extensively use it for building their own high-level software across various industries, including gas and oil, finance, and government management.