Building Trust in Tech: Creating Scalable AI Solutions for Finance and Healthcare

Finance and healthcare are two industries that are particularly sensitive to digital transformation.

- TBG NETWORK

Sophisticated AI solutions are emerging for these two industries because they contain some of the most sensitive data. Trust and scalability have become fundamental areas of focus for innovation. As organizations strive to enhance efficiency and outcomes through artificial intelligence, trust, ethics, and scalability have become critical—not optional.

Why Trust Matters in AI First and foremost, the most crucial factor that governs system usage stems from trust. This is especially important in areas where people's financial and health information is involved. In finance, AI systems make decisions on creditworthiness score, fraud detection, and even investment advice. It is no concealed fact that a lack of transparency or algorithms that exhibit bias of some kind are sure to cripple these systems.

AI Healthcare-powered platforms are used for monitoring patients, planning treatments, and even diagnostic procedures. They perform all noninvasive surgical procedures. Since patients trust the system, they may choose to not consult a real doctor, often resulting in a diagnosis far removed from reality. As a result of error in judgment, they may land up in a legal quagmire and that's where Explainable AI (XAI) comes into play.