In this article, Solution Architect Virendrasinh Gohil and Business Integration Architect Paul Lashmet explore two types of distributed technologies and the fit-for-purpose of each to external and internal facing business scenarios of custody services in the financial services industry.
The automated nature of algo trading can improve business outcomes but magnify risks. If risk stewards do not have the right tools to effectively oversee a business that is running faster and faster, operational losses, regulatory fines, and oft-occurring reputational risk could increase. That's why it is important to look to risk stewards, to ensure opportunities are not missed.
Client: Cloudera. Published on September 19, 2019 on Medium
Criminal networks are pervasive in their determination to identify and exploit business vulnerabilities. Their ability to constantly evolve means new approaches are required to disrupt the cycle of financial crime.
This story is the second in a series and describes how the financial services industry has evolved its approach to combating financial/economic crime as outlined in my introductory story: “The Pervasiveness of Financial Crime”. In the third and final story in this series, I will describe how we can execute proactive solutions by moving towards the next generation financial crimes platform.
Client: Cloudera. Published on September 12, 2019 on Medium
Financial Crime is both pervasive and rapidly-evolving. Surges in human trafficking, synthetic identity fraud and crime at the edge of the banking network require new approaches to financial crime which work beyond the neat boundary lines of business functions. This story is the first of three about moving towards the next generation of financial crimes platform.
Client: Hazelcast
We were happy to have participated in the writing and research for this white paper about the global #payments landscape, current challenges, and solutions provided by #inMemory technology.
Deterministic A.I. can help financial institutions process high volumes of Client Suitability analysis. By automating large amounts of decision-making and data analysis, financial institutions can limit their regulatory risk and increase efficiency. In addition, Deterministic A.I. can increase uniformity in decision-making by limiting personal biases and errors.
