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Is Machine Readable Regulation the Answer to Regulatory Burden?
In this episode we discuss the potential of reducing regulatory burden through the implementation of Machine-Readable Regulation. Machine Readable regulation is not a new concept but there has been renewed interest by the industry due to its potential to enhance compliance and risk
management and reduce regulatory burden. In 2016 the Financial Conduct Authority in the UK hosted a Tech Sprint that looked at the whole process of regulatory reporting starting with converting the Handbook into machine-readable text and using this to enable automated advice or personalized filtering. In October 2022 FINRA in the US announced they are using the technology to make their rulebook easier to navigate by building a taxonomy and search tool called FIRST - to help all users (whether human or machine) easily identify and search applicable rules… And as you will learn in this podcast – regulators from India are also exploring the use of machine readable regulation.
Joining me on the podcast today is Shailesh Dhuri, CEO and Founder, of Decimal Point. Analytics. Decimal Point Analytics provides consulting and market research services and leverages data and artificial intelligence and machine learning to assist clients with financial research, analysis, modelling, and risk management. Shailesh is a highly sought-after leader and Innovator in the space of real life applications of artificial intelligent technology that are used in massive data, quantitative, statistical analysis, and algorithms.
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By Canadian RegTech AssociationIn this episode we discuss the potential of reducing regulatory burden through the implementation of Machine-Readable Regulation. Machine Readable regulation is not a new concept but there has been renewed interest by the industry due to its potential to enhance compliance and risk
management and reduce regulatory burden. In 2016 the Financial Conduct Authority in the UK hosted a Tech Sprint that looked at the whole process of regulatory reporting starting with converting the Handbook into machine-readable text and using this to enable automated advice or personalized filtering. In October 2022 FINRA in the US announced they are using the technology to make their rulebook easier to navigate by building a taxonomy and search tool called FIRST - to help all users (whether human or machine) easily identify and search applicable rules… And as you will learn in this podcast – regulators from India are also exploring the use of machine readable regulation.
Joining me on the podcast today is Shailesh Dhuri, CEO and Founder, of Decimal Point. Analytics. Decimal Point Analytics provides consulting and market research services and leverages data and artificial intelligence and machine learning to assist clients with financial research, analysis, modelling, and risk management. Shailesh is a highly sought-after leader and Innovator in the space of real life applications of artificial intelligent technology that are used in massive data, quantitative, statistical analysis, and algorithms.