MindBridge, a Canadian company specialising in artificial intelligence (AI)-driven financial decision intelligence, announced a new partnership with Snowflake, to drive enhanced AI-driven financial analytics.
This collaboration will allow finance teams to seamlessly conduct AI-powered analysis of their financial data, simultaneously preserving control and governance over their data resources.
It facilitates real-time transaction analysis through MindBridge, drawing attention to risks and anomalies that could be optimised.
Organisations integrating MindBridge with Snowflake are expected to benefit from enhanced financial insights without excess manual intervention. This, in turn, will support more efficient risk evaluation and decision-making processes.
The incorporation of secure data pipelines within Snowflake’s infrastructure supports automated analysis by MindBridge without introducing additional complexities or risks. Financial teams will access consistent and up-to-date risk assessments, as MindBridge continually updates its analysis each time there are changes to the data, whether they are made daily, weekly, or on demand.
MindBridge chief technology officer Rachel Kirkham “Finance leaders are under increasing pressure to deliver accurate, real-time insights that support the business.
“MindBridge’s integration with Snowflake’s AI Data Cloud allows organizations to easily apply AI-driven analysis of their financial data for explainable, proactive insights finance teams trust.”
MindBridge’s real-time analytics allow financial departments to detect risks sooner, thus enabling assertive decision-making and accurate reporting. Enterprises maintain comprehensive security control for their data managed within Snowflake, facilitating customisations to meet specific compliance needs while also securing automated insights delivery.
Risk indicators generated by MindBridge are accessible within established workflows, reducing the demand for new training or complex means of adoption. Automated analysis results augment existing operations by integrating seamlessly into users’ workflows, thereby enhancing flexibility and insight reporting alongside other business performance measures monitored on Snowflake’s platform.
According to this new integration policy, organisations can escalate internal operation efficiency and refine internal controls through risk scores provided via API back into the Snowflake environment.
Snowflake financial services global head Rinesh Patel said: “Integrating MindBridge’s capabilities into the Snowflake AI Data Cloud makes it easier for our shared customers to transform their financial risk analysis workflows with speed and accuracy.
“This collaboration aligns perfectly with our commitment to helping financial services organisations harness the full power of their data while reducing operational complexity and maintaining data sovereignty.”
