• Data-Driven Decision-Making in Banking: A Practical Guide

    Banks today are sitting on mountains of data, yet many still rely on outdated processes to make critical decisions. This guide explores how data-driven decision-making in banking reshapes customer experience, risk, operations, and tech infrastructure. Learn how predictive analytics, composable systems, and AI platforms like Juris Mindcraft, Juris DecisionCraft, and Juris AICraft help banks move faster, stay compliant, and deliver better outcomes.

    By |2025-07-25T16:38:33+08:0025th July, 2025|Artificial Intelligence, Featured, Insights|

    Deterministic VS Non-Deterministic Agentic AI (Part 2): What Banks Must Know Now

    Not all AI is built for banking. In this sequel article, we go beyond theory, comparing deterministic vs non-deterministic AI in banking use cases. Under the strategic direction of our CINO, Hosein Abedinpourshotorban, we show why consistency, auditability, and regulatory alignment make deterministic agentic AI the safer choice for banks.

    By |2025-07-02T16:13:39+08:002nd July, 2025|Artificial Intelligence, Featured, Insights|