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Driving AI and ML Investment in Financial Services - with Craig Mackereth of Rimini Street

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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 Craig Mackereth, Executive Vice President of Global Service Delivery at Rimini Street. Rimini Street is a publicly traded company specializing in third-party support for mission-critical systems at financial services organizations and beyond. Craig returns to the program today to discuss the best strategies for driving AI and ML investments across the financial services enterprise. Throughout the episode, Craig points to significant use cases that demonstrate the unique differences between deterministic and generative AI capabilities, the business problems they solve for financial leaders, and the infrastructure needed to ensure ROI. 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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icon分享
 
Manage episode 426513203 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 Craig Mackereth, Executive Vice President of Global Service Delivery at Rimini Street. Rimini Street is a publicly traded company specializing in third-party support for mission-critical systems at financial services organizations and beyond. Craig returns to the program today to discuss the best strategies for driving AI and ML investments across the financial services enterprise. Throughout the episode, Craig points to significant use cases that demonstrate the unique differences between deterministic and generative AI capabilities, the business problems they solve for financial leaders, and the infrastructure needed to ensure ROI. 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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