Frank holds a Ph.D. in Applied Economics from the Western Michigan University (WMU) and an Executive Education in Artificial Intelligence from the Massachusetts Institute of Technology (MIT). He also holds a dual bachelor’s degree in Mathematics and Economics. As a risk management professional, Frank is particularly fascinated with the benefits of Economics in providing a wider understanding of the business landscape, interpreting business problems and the possibilities Mathematics offers in solving these real-world problems. As much as is practicable, every business problem can be formulated as a mathematical problem, and this brings with it unimaginable solutions. Being a Mathematician, Economist, and Risk Management Professional, with passion for and insights into Artificial Intelligence, I find myself in a unique position to provide valuable insights and expertise in Risk Management. Frank has dedicated interest in all matters of risk management, across all industries. He works to provide key insights into current issues and future developments in risk management, the role and application of artificial intelligence, efficient and effective risk management practices, and fixing lapses in risk management frameworks. With fast-rising improvements in big data and technology across all industries, there are enormous opportunities for applying Artificial Intelligence across all risk management functions. Over the years, Frank has gained immense experiences spanning the financial services sector, working as a risk management professional in various roles; real estate sector, and supply chain. His multifaceted experiences across different sectors have contributed to his unique insights into risk management practices prevalent in each sector, as well as the opportunities and strategies to overcome existing risks.
Over the years, we’ve seen banks and other financial institutions diligently protect their customers’ financial information. However, recent developments in open banking have raised data security concerns. The sharing of customers’ financial information with third party services providing APIs that make open banking possible is the source of these security concerns. In this episode, we discuss the role one institution, in particular, is playing to protect customers’ data within the financial services industry. Listen as I talk to Don Cardinal, Managing Director of Financial Data Exchange on "Open Banking & Financial Data Security." To learn more about the work of Financial Data Exchange, visit https://financialdataexchange.org/ .
In this episode, we discuss open banking and APIs. The concept of open banking has been around since 2013 when the European Commission proposed an amendment to the payment services directive of 2007, in what has become known as payment services directive 2, or PSD2. Among the directives contained in PSD2 was the opening of bank data to third parties. This was aimed at creating a more integrated European payments market. In fact, on October 8, 2015 when PSD2 was officially adopted by the European Parliament, Commissioner Jonathan Hill, responsible for Financial Stability, stated that   "This legislation is a step towards a digital single market; it will benefit consumers and businesses, and help the economy grow."   In the same forum, Commissioner Margrethe Vestager noted that   “The new Directive will greatly benefit European consumers by making it easier to shop online and enabling new services to enter the market to manage their bank accounts, for example to keep track of their spending on different accounts."   So, we want to delve into the details of open banking and the role of APIs in its development.   Joining me for this discussion is Matt McLarty. Matt is a Software Architect and a Global Leader of API Strategy at MuleSoft, a Salesforce Company.   Subscribe to The Risk Experience Podcast.   To learn more about Matt, check out his LinkedIn page https://www.linkedin.com/in/mattmclartybc/.
In the last few episodes of The Risk Experience Podcast, we discussed the impact of artificial intelligence and disruptive technologies on post-COVID-19 world economy. This episode features one of the leading AI services companies driving this change and ushering us into a new world of possibilities using AI. Listen as I discuss with Russ Rands, co-founder of Prolego, to understand how they are helping their clients solve real world problems. Prolego is an AI services provider of choice among Fortune 500 companies. We delve into their business model, strategies, the adoption rate of AI among Fortune 500 companies, and many other interesting topics. Subscribe to The Risk Experience Podcast.
In the previous episode of the podcast, we discuss the impact of artificial intelligence and disruptive technologies on post-COVID-19 world economy, focusing mainly on the labor market and industry. Artificial intelligence and disruptive technologies have a transformative impact on the labor market, business, international trade and trade negotiations, banking and payment systems, and overall GDP growth. The growth of Artificial Intelligence (AI) and the development of disruptive technologies continue unabated. Economic conditions that support the fourth industrial revolution stand to change significantly in post-COVID-19 global economy. And the role of AI and disruptive technologies may change as well. In this episode of The Risk Experience Podcast, we discuss the impact of artificial intelligence and disruptive technologies on international trade and the global economy in the aftermath of the coronavirus pandemic. Joining me for this discussion is Dr. Badri Narayanan Gopalakrishnan.
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Creator Details

Birthdate
Aug 28th, 1985
Episode Count
7
Podcast Count
1
Total Airtime
3 hours, 43 minutes