Fraudsters, armed with state-of-the-art technologies, are persistently targeting the finance sector. Consequently, these constant attacks contribute to the finance industry incurring hundreds of billions in losses annually.
Fraudsters, armed with state-of-the-art technologies, are persistently targeting the finance sector. Consequently, these constant attacks contribute to the finance industry incurring hundreds of billions in losses annually.
Throughout the panel session, learn why the use of hyperautomation in the finance sector is crucial in detecting fraud. Hyperautomation harmonizes rule-based systems with AI/ML capabilities.This fusion not only elevates efficiency and strengthens risk management, but also elevates customer experiences—all while reducing costs and enhancing competitiveness in the dynamic landscape of the digital era.
A few key takeaways include:
* Alarming rise in fraud globally
* Impact of AI technology on fraud detection
* Fusion of AI/ML models and policy rules
* Harnessing of the lightning speed and impact of low-code* Use of hyperautomation and hyper-orchestration
* Importance of cloud-native architecture
Also, a warm thank you to the panelists and moderator for their valuable time and insights! We can’t thank you enough for sharing your expertise on this trending topic.
* Ajit Gaddam, SVP, Head of Fraud Technology, Wells Fargo
* Paul Chang, Head of Payment Networks, Amazon Web Services (AWS)
* Rajesh Iyer, VP Global Head of AI/ML, Capgemini* Shankar Ramanathan, Global AI/ML Leader, Capgemini
* Veselin Pizurica, COO and Co-founder, Waylay
* Kris Vandenberk, Director of Technology, Agio Capital
Throughout the panel session, learn why the use of hyperautomation in the finance sector is crucial in detecting fraud. Hyperautomation harmonizes rule-based systems with AI/ML capabilities.This fusion not only elevates efficiency and strengthens risk management, but also elevates customer experiences—all while reducing costs and enhancing competitiveness in the dynamic landscape of the digital era.
A few key takeaways include:
* Alarming rise in fraud globally
* Impact of AI technology on fraud detection
* Fusion of AI/ML models and policy rules
* Harnessing of the lightning speed and impact of low-code* Use of hyperautomation and hyper-orchestration
* Importance of cloud-native architecture
Also, a warm thank you to the panelists and moderator for their valuable time and insights! We can’t thank you enough for sharing your expertise on this trending topic.
* Ajit Gaddam, SVP, Head of Fraud Technology, Wells Fargo
* Paul Chang, Head of Payment Networks, Amazon Web Services (AWS)
* Rajesh Iyer, VP Global Head of AI/ML, Capgemini* Shankar Ramanathan, Global AI/ML Leader, Capgemini
* Veselin Pizurica, COO and Co-founder, Waylay
* Kris Vandenberk, Director of Technology, Agio Capital