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.
Adapting to change in financial services requires efficient ways to understand and communicate actionable insight from data. Data visualization is the standard by which to uncover insights, trends, and hidden opportunities. However, we now have access to very practical tools that allow us to explore data through written word, or Natural Language Generation (NLG). When it comes to telling a story from your data, that story could be automatically written for you.
Intelligence (artificial or real) is as good as the information it uses. A higher volume of relevant information provides deeper context to a situation, resulting in heightened intelligence, increased value, and better outcomes.
Location Intelligence is a data asset that helps to contextualize a situation and can augment machine learning and other applications of artificial intelligence. This post considers how location intelligence can be applied to regulatory compliance initiatives, specifically fraud examination and forensic audit to combat financial crime.
Great feats of innovation can die a slow and unremarkable death if they are not adopted by the organization. Adoption requires a comprehensive approach to integration that recognizes the importance of how people work as well as a sound, technical implementation. By keeping the solution simple and promoting the value of that solution through broad community feedback, you can maximize the adoption of innovative solutions across the organization.
Note: this article can be found here.
Great feats of innovation can die a slow and unremarkable death if they are not adopted by the organization. Adoption requires a comprehensive approach to integration that recognizes the importance of how people work as well as a sound, technical implementation. By keeping the solution simple and promoting the value of that solution through broad community feedback, you can maximize the adoption of innovative solutions across the organization.
This video shows how Artificial Intelligence and Natural Language Generation can be used to automatically generate a clear and concise narrative from Excel data. We then directly use that commentary as an email response. The demo is purposely plain (no flashy colors and it is operational in nature) because we want to show how this tool can be used in an everyday, impromptu situation.
A "How-To" manual can be derived from the biography of a man who automated large scale drafting, revolutionized the apparel industry, and standardized printed circuit boards. There are many parallels with what we see today as we experience the next level of automation through artificial intelligence.
Along with other New York business leaders, I was asked to contribute to a Business Forward* press release discussing the Trans-Pacific Partnership (TPP) ahead of the New York primary on April 19. This is a follow-up to my participation in the White House Business Briefing on International Trade last January.
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.
