Expanding AI in the Banking Sector Poses Challenges
Artificial Intelligence and Machine Learning (AI/ML) are reshaping the banking landscape and have become a pivotal battleground for established institutions and disruptors. Despite their potential, many banks have been slow to adopt AI/ML, resulting in limited impact. A significant obstacle, affecting business leaders, control functions, regulators, and customers alike, is the assurance of AI/ML model quality and reliability, especially in critical scenarios. PureML's AI Quality solutions are designed to elucidate, evaluate, and oversee AI/ML models, ensuring top-notch quality, fostering trust, and facilitating widespread impact.
MRM a key advantage
As AI/ML models become more pervasive in banking, they are becoming subject to intensifying regulatory scrutiny. While sometimes seen as a barrier to speedy adoption of AI/ML models, MRM frameworks and experience can be turned into a source of competitive advantage.