Solutions | Use Cases | AI Apps
Improve your AI App Experience with the Graphing Technology of TruContext
Issues and Challenges
Machine Learning uses analytical and statistical techniques to uncover patterns in data and provide businesses with insightful direction. The results, however, are limited by the quality of raw and translated data.
Detecting a pattern in data can be difficult if data is not translated effectively. To succeed, data should be understandable and categorized appropriately. In our increasingly digitized world, gathering raw data is much less of a problem as opposed to several other challenges. Some of which include the questions of “do I have all the data?” and “how do I collate disparate data into one model?”
The TruContext™ Solution
TruContext offers solutions to many of these machine learning data challenges. Our platform’s capabilities can ingest, process, integrate, and traverse datasets in seconds. This enables us to deliver already connected datasets to ML models – rapidly decreasing time between preparing and modeling data to being able to take action and predict events before they occur.