As the use of AI becomes more widespread across various industries, the need to monitor AI-driven applications for anomalies and unexpected behaviors has become increasingly important. Each use case is different and may require a unique set of fields and metrics to effectively identify and surface anomalous behaviors early before business is negatively impacted. At Mona, we are committed to providing the most advanced AI monitoring platform to improve the accuracy and reliability of AI-based systems. We have developed a one-of-a-kind insight generator designed to detect the specific data segment in which the anomaly lies, providing users with the full context of the behavior including possible explanations on why it is occurring. The key to successful AI monitoring lies in the ability to adhere to the intricacies of each use case, providing users with valuable insights to optimize their models and processes. Following numerous user requests, we just enhanced our monitoring capabilities to use geo-location and multiple timestamp fields in any monitoring context.
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In today's data-driven world, organizations increasingly rely on data to inform their decision-making, resulting in the need for efficient and accurate data analysis tools. In the last two decades, a plethora of tools for analytics, data science, and BI have been created to meet this need. However, one basic problem in data analysis has remained elusive: the problem of automating multivariate exploratory analysis clearly and free of noise.
We are pleased to showcase our new interactive demo environment, which allows you to explore Mona’s ML monitoring dashboard and capabilities, free of charge and with 0 work! Mona’s mission has always been to make AI reliable and impactful, and we’re very excited to show data science teams the true value that Mona can bring to their day to day activities. We have built this interactive demo understanding that there are users out there that would prefer to try our platform for themselves, and this will allow you to do so without having to upload any data.
Mona is happy to announce the expansion of use cases supported by the intelligent monitoring platform for AI / ML to include Robotic Process Automation (“RPA”) workflows. Currently providing customers across 8 different industries with actionable insights into their AI systems, Mona excels at providing complete process visibility, detecting issues within specific segments of data. As a highly extensible platform for many use cases including machine learning, NLU/NLP, speech recognition, and vision, the extension to support intelligent automations and RPA is seamless.