The global banking industry is becoming increasingly vulnerable under powerful, multi-faceted fraud attack. Organizations and banking institutions are losing nearly 5% of their yearly revenues to fraudulent activities, according to the Association of Certified Fraud Examiners (ACFE). And credit card fraud topped over $32 billion in 2020.
In this webinar, the Royal Cyber’s MLOps experts will join hands with the Iguazio team in a detailed Q&A session on how MLOps can solve the fraud prediction problems in the banking and financial space.
The webinar will focus on how banking and financial institutions can use cutting-edge machine learning and AI tools and technologies to accelerate their results, acquire creditworthiness, detect and prevent financial crimes, generate customer experience innovations, and answer the following questions.
Takeaways from the Q&A session!
Umer Qaisar is working as a Senior Data Scientist at Royal Cyber Inc., he is experienced in delivering data-driven solutions on enterprise scale in the financial industry. He has been involved in all the phases of data science lifecycle, from requirements understanding with business to development and deployment of use cases.