A message from MindBridge CFO, Matthias Steinberg The Gartner CFO conference is an important industry event for my company MindBridge. It gives me the opportunity to join and support the MindBridge team and I get to participate in many of the keynotes, presentations, and round tables. Naturally, I am keen to understand where AI adoption
The accuracy of financial data is not just an operational need but a strategic imperative. Clean financial data is crucial for reliable financial analysis, accurate reporting, and sound decision-making. Finance teams need to be the trusted source of truth. This allows the business to maintain consistent compliance, manage risks, and optimize performance in business operations
Discover generative AI’s impact on finance and accounting trends, including automation, digital transformation, and how it revolutionizes the industry.
Discover how financial reporting with AI is advancing the industry in our MindBridge and MNP webinar recap, tailored for CFOs and Controllers.
Explore Financial Innovation with MindBridge. Dive into AI-Powered Analysis and understand Innovative Anomaly Detection in finance.
JC, MindBridge’s SVP of Client Growth Programs, shares his journey and insights on revolutionizing financial risk detection with AI.
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.
Explore how the MindBridge API can be implemented, and sample business use cases
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.
Anomaly detection is a powerful technique for detecting fraudulent transactions and behaviors, thanks to financial institutions’ ever-increasing amounts of data.
