At Diddle AI, we research on 'multimodal learning AI' & ‘Explainable AI’ (XAI)
to build a responsible, high-precision fraud monitoring software to detect fraud in real-time.
At Diddle AI, we research on 'multimodal learning AI' & 'eXplainable AI' (XAI) to build a responsible, high-precision, real time fraud detection software.
Multimodal AI learning is a new AI paradigm in which multiple intelligence processing algorithms are combined to generate more intelligent insights & achieve higher performances.
EXplainable AI (XAI) is an emerging branch of AI where 'blackbox' AI models are being turned to 'glassbox' models to explain the reasoning behind AI's decisions.
With the recent spike in transactional cyber-attacks globally, financial institutions are facing potential losses of money due to inaccurate and delayed fraud detection.
A multimodal learning XAI based fraud detection software to monitor, detect and prevent transactional cyber-fraud in real time (with explanations) would be the perfect cyber-defense solution.
Banks & financial institutions can be benefitted by preventing potential fraud, customer attrition rate, increase revenue and also can stay compliant.