MindBridge Year In Review
Our last TBT of the year, what a year it has been. Following 2021’s growth and achievements, we set new records in 2022
Our last TBT of the year, what a year it has been. Following 2021’s growth and achievements, we set new records in 2022
We’re incredibly excited to announce that MindBridge has been included in the Vector Institute’s inaugural AI20 for 2023. Read more in the Press Release published here. With over 1,200 artificial intelligence-focused firms in Canada, receiving this recognition alongside a select group of leading Canadian AI organizations is a testament to the value we consistently deliver … Read more
MindBridge’s Risk Segmentation dashboard combines 2 powerful capabilities to allow financial professionals to create custom risk assessments
Unbiased AI is a goal we all want to achieve, but it’s continuously difficult when dealing with human-centric technology.
This guide covers how the international standards addressing technology ethics and bias in auditing affect organizational tech use.
Read to discover a quick and efficient approach to identifying embedded leases using MindBridge risk analytics
Explore how the MindBridge API can be implemented, and sample business use cases
Crossover to clarity | Mindbridge’s new release delivers API support, expanded ratio capabilities, and platform enhancements
As the complexity of data analysis increases, preemptive vs. reactionary capabilities become paramount. Data anomaly detection can help.
Anomaly detection is critical for making the most of audits. Here’s how to use anomaly detection to identify risks and get the best outcomes.
Human-centric AI for anomaly detection is designed to use human input to help support and scale financial risk discovery objectives.
Anomaly detection is a powerful technique for detecting fraudulent transactions and behaviors, thanks to financial institutions’ ever-increasing amounts of data.