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Core banking systems offer financial institutions a form capable of efficiently processing and managing transactions, accounts, and customer information. Industry trends will also influence the architecture of the core banking system.

The emergence of Large Language Models (LLMs) such as GPT-4, BERT, and their counterparts has revolutionized artificial intelligence across industries. These advanced AI systems power a variety of applications, from chatbots and content generation to sophisticated decision-making tools. However, deploying LLMs in real-world scenarios brings challenges such as ensuring accuracy, fairness, robustness, and efficiency. LLM evaluation tools have become essential for organizations aiming to maintain high standards of performance and reliability in these AI-driven systems.

When companies think of tools for managing customer relationships and internal operations, CRM (Customer Relationship Management) software is often one of the first to come to mind. CRMs are powerful tools for tracking leads, managing sales pipelines, and ensuring smooth customer acquisition. However, once a customer is closed and the focus shifts to delivering services, companies often realize that CRMs alone are insufficient. This is where workflow management software becomes essential.