When designing and implementing AI solutions, organizations face important questions around the type of AI to choose and which platform to use. What most quickly discover is that no single technology solution can handle it all. How can organizations navigate the fast-changing landscape without missing today’s opportunities? And, how can they enable rapid innovation by empowering their AI community through self-service tools and resources?
Although the term sounds sinister, shadow banking is not quite so ominous. Shadow banking involves activities conducted by entities that are not banks but rather perform bank-like functions, such as lending or trading financial instruments. Realizing the extent and scale of shadow banking and its potential impact on the traditional banking system, Securities Finance Transactions Regulation (SFTR) was introduced, which is set to go into effect in a phased approach starting in Q2 2019.
In the world of power trading, the ability to predict congestion demand, and price accurately has become a vital competitive differentiator. Across the sector, decreased volatility has led to more organizations pursuing a greater number of smaller opportunities—and it’s clear that traditional approaches are no longer enough.
Past regulatory regimes highlight that a failure to implement the appropriate processes and controls at a regulation’s inception leads to higher costs, with some banks spending between $10 million and $25 million. These costs take the form of large regulatory fines or major remediation programs that are required to address undetected issues by the inferior initial process. In this article, Shashi Prabhu and Marcus Cambray outline the importance of a tighter process and control framework for MiFID II external reporting, including critical factors for success.