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Today’s guest is Nirmal Ranganathan, Vice President of Engineering and AI at Rackspace Technology. Rackspace, headquartered in San Antonio, Texas, is a global cloud computing company with additional offices across North America, Europe, Asia, and Australia. It operates data centers in key locations including Amsterdam, London, Frankfurt, Hong Kong, and various cities in the United States. Nirmal returns to the show to explore the accelerating journey of AI adoption in financial services. Pulling from Rackspace’s recent AI survey, we discuss key findings: 86% of companies report tangible AI benefits, and 60% are transitioning from ideation to early implementation. However, as organizations race to integrate AI, many still face skills gaps, with a majority seeking talent in machine learning and software development. 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!
By Daniel Faggella5
1919 ratings
Today’s guest is Nirmal Ranganathan, Vice President of Engineering and AI at Rackspace Technology. Rackspace, headquartered in San Antonio, Texas, is a global cloud computing company with additional offices across North America, Europe, Asia, and Australia. It operates data centers in key locations including Amsterdam, London, Frankfurt, Hong Kong, and various cities in the United States. Nirmal returns to the show to explore the accelerating journey of AI adoption in financial services. Pulling from Rackspace’s recent AI survey, we discuss key findings: 86% of companies report tangible AI benefits, and 60% are transitioning from ideation to early implementation. However, as organizations race to integrate AI, many still face skills gaps, with a majority seeking talent in machine learning and software development. 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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