New Compliance Platform

  As we know that Artificial Intelligence has become an integral part of Financial Services. For companies looking to increase their value, AI technologies such as machine learning can help improve loan underwriting and reduce financial risk with the help of AI. You have heard of Financial services and market fraud that are the two words that you wouldn't expect to hear in the context of a technology frontier. Nonetheless, this is the image presented by five of the world's major financial authorities in their recent RFI (Request for Information). After this we must ask the question that is there any unconscious bias that has inadvertently been built into the models? Indeed, the answers might reveal a darker side of financial transactions, one that hasn't been seen in over two decades, when the FBI raided Enron's headquarters and also how the AI Powered Surveillance is neglected. Let's look at how implicit bias appears to have sneaked into financial risk assessment

  In July 2021, 4 million Americans left their jobs their jobs, according to the US Bureau of Labor Statistics. With 10.9 million available positions at the end of July, resignation peaked in April and has stayed extremely high for several months. In the face of such a tidal great resignation wave , how can employers keep their employees? Understanding these startling figures is the first step toward addressing their core causes. The reference of 9 million employee records shows that more than 4,000 firms determine who has been driving this recent movement. This global dataset included employees from a variety of industries, functions, and levels of skill, it highlighted two major trends: 1. Employees in Their Mid-Career Have the Greatest Resigning Rates Employees aged 30 and 45 have faced the biggest increase in resignation rates between 2020 and 2021 due to this pandemic(Covid 19), with an overall gain of more than 20%. The research shows that younger employees are more likely to lea