Leveraging AI within Kingland’s Software Platform for Precision Data Extraction from Mutual Fund Prospectus Documentation


Registration 8:30 – 9:00
Presentation: 9:00 – 11:30


Over 200 Mutual Fund Families in the United States file – with the Securities and Exchange Commission – thousands upon thousands of pages of required prospectus documentation collectively on over 27,000 total Mutual Fund investment securities.  This documentation contains hundreds of data attributes relevant to the Mutual Funds detailed within, and the Broker Dealers that trade these Mutual Funds depend on the integrity and accuracy of the Funds’ data attributes.  Kingland built an AI-powered solution – deployed to Production in June 2017 – to enable collaboration between Mutual Fund industry users, by automating the extraction of data attributes from documentation for further workflow-based management and dissemination to consumers.  In this presentation, an overview of Kingland and their Software Platform will be provided, as well as additional solution details and a demo of the AI-powered Mutual Fund solution.

Matt Good
Matt Good is responsible for Kingland Platform evangelism, architecture, and strategic technologies, including enterprise data management, big data, AI, and cloud computing.  Over the past 20 years, Mr. Good has gained a variety of experiences at Kingland, IBM and SPSS in architecting and engineering software solutions and leading teams focused on compliance, risk management, predictive analytics, AI-based enterprise data management automation, and brokerage web and reporting applications.  Additionally, Mr. Good has provided his expertise to numerous executives within multi-national enterprises.  He has also provided overall leadership within Kingland’s partnership with Iowa State University, advancing Computer Science research within key data management initiatives.  Mr. Good has achieved certifications related to Java, master data management development, and IBM technologies and has been a speaker at technical conferences.  Mr. Good holds degrees from Iowa State University in Computer Science and Music.

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