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Alternative Data Management Approaches for Financial Services - with Ted Kwartler of DataRobot

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内容由Daniel Faggella提供。所有播客内容(包括剧集、图形和播客描述)均由 Daniel Faggella 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Today’s guest is Ted Kwartler, Field CTO of Generative AI for DataRobot. DataRobot is an AI-powered software company that helps enterprises automate processes from end to end. In conversation with Emerj CEO and Head of Research Daniel Faggella, Ted gives a broader view of the data governance process for financial services. Throughout the episode, Ted offers financial leaders alternatives to popular approaches in Centers of Excellence in the form of data science professional resources groups that can better facilitate collaboration across the enterprise. Later, he explains where financial services organizations often make mistakes in scaling data management operations and how they can course correct before it’s too late. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

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Manage episode 384761324 series 2526416
内容由Daniel Faggella提供。所有播客内容(包括剧集、图形和播客描述)均由 Daniel Faggella 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Today’s guest is Ted Kwartler, Field CTO of Generative AI for DataRobot. DataRobot is an AI-powered software company that helps enterprises automate processes from end to end. In conversation with Emerj CEO and Head of Research Daniel Faggella, Ted gives a broader view of the data governance process for financial services. Throughout the episode, Ted offers financial leaders alternatives to popular approaches in Centers of Excellence in the form of data science professional resources groups that can better facilitate collaboration across the enterprise. Later, he explains where financial services organizations often make mistakes in scaling data management operations and how they can course correct before it’s too late. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

  continue reading

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