
Sign up to save your podcasts
Or


Navigating the complex world of AI hiring in financial services is no easy feat. In this debut episode, Nirmal Ranganathan, Vice President of Engineering and AI at Rackspace Technology, joins host Matthew DeMello to explore the unique challenges financial services enterprises face when integrating AI talent. With the sector still in its early adoption phase, generative AI's impact is evident, but leveraging these innovations requires addressing fundamental infrastructure and regulatory hurdles. Throughout the episode, Nirmal shares his insights into the practical applications of generative AI, from enhancing customer-facing operations to transforming back-office workflows. The conversation highlights the essential role of data governance, the impact of AI bias, and the transition smaller financial institutions must make to fully digitize and prepare their data foundations. 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
Navigating the complex world of AI hiring in financial services is no easy feat. In this debut episode, Nirmal Ranganathan, Vice President of Engineering and AI at Rackspace Technology, joins host Matthew DeMello to explore the unique challenges financial services enterprises face when integrating AI talent. With the sector still in its early adoption phase, generative AI's impact is evident, but leveraging these innovations requires addressing fundamental infrastructure and regulatory hurdles. Throughout the episode, Nirmal shares his insights into the practical applications of generative AI, from enhancing customer-facing operations to transforming back-office workflows. The conversation highlights the essential role of data governance, the impact of AI bias, and the transition smaller financial institutions must make to fully digitize and prepare their data foundations. 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!

4,315 Listeners

407 Listeners

1,176 Listeners

389 Listeners

1,866 Listeners

1,081 Listeners

162 Listeners

171 Listeners

181 Listeners

213 Listeners

9,830 Listeners

156 Listeners

558 Listeners

502 Listeners

52 Listeners