In a recent discussion at Machinecon, we highlighted two primary use cases where Vectice delivers value. First, we help financial institutions—such as banks and insurance companies—optimize their model development and risk management processes through our innovative documentation technology. The second use case focuses on enhancing productivity and providing transparency for leadership and teams across various industries, ensuring seamless documentation for model developers, who often find this task burdensome.
Transitioning from Pilots to Production
Over the past year, we've witnessed a significant shift in enterprises' approach to AI. Companies are moving beyond experimental pilots and are now deploying models in production environments. As AI matures, there’s a growing emphasis on risk management. Many lessons can be drawn from the banking sector, where models are developed, validated, and scrutinized for safety.
The Rise of AI Regulation
We’re also seeing the rise of AI regulation across different industries. With the EU AI Act and state-level regulations for insurance, companies are beginning to adopt structured governance practices. While not every organization operates like a large bank, there will undoubtedly be new frameworks to manage AI risk, focusing on data governance and model governance.
Complying with ever-evolving risk management landscape can be complex, but it doesn’t have to be so. Let Vectice help. Request a demo today to learn how.
