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In this episode, Markus Zirn and Kim Huffman dive into invigorating topics of the power of automation, the transformative potential of AI, and the most effective strategies for enterprise transformation. Drawing from her diverse background at companies like Elastic, Navan, and Workiva, Kim shares valuable insights, emphasizing the evolving role of the CIO as a 'business technology leader.' The discussion delves into the shift towards understanding business processes, moving away from traditional tech-centric approaches. They also explore the relevance of business architecture, with Kim recommending a gradual, progressive implementation approach.
*(00:00) Episode Start
*(02:46) Automation and integration throughout Kim's career
*(08:22) Transformation of the traditional CIO
*(13:20) Successes and challenges for the new-age CIO
*(19:53) Navigating the paradox of increased business systems yet more organizational disconnection
*(24:26) Significance of understanding end-to-end business processes
*(28:07) Importance of agility in scaling and streamlining processes
*(31:07) Business architecture's impact on organizational transformation
*(35:33) Generative AI's effect on the role of the CIO
*(39:10) Today's Takeaway
“At the end of the day, if we all step back and we think about the way that our roles have changed as a result of technology. The concept of a technology organization focused only on technology and a business organization focused only on business is a limiting view. And I think because the technology has come to a point is that the CIO of today or the Chief Digital Officer is uniquely positioned to understand enough about technology, that if they have a real passion for the business change and the business process, it actually isn't an IT function, it's a business function. And it's a business function that is enabled and transforming that business through technology.”
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
By Workato4.9
4444 ratings
In this episode, Markus Zirn and Kim Huffman dive into invigorating topics of the power of automation, the transformative potential of AI, and the most effective strategies for enterprise transformation. Drawing from her diverse background at companies like Elastic, Navan, and Workiva, Kim shares valuable insights, emphasizing the evolving role of the CIO as a 'business technology leader.' The discussion delves into the shift towards understanding business processes, moving away from traditional tech-centric approaches. They also explore the relevance of business architecture, with Kim recommending a gradual, progressive implementation approach.
*(00:00) Episode Start
*(02:46) Automation and integration throughout Kim's career
*(08:22) Transformation of the traditional CIO
*(13:20) Successes and challenges for the new-age CIO
*(19:53) Navigating the paradox of increased business systems yet more organizational disconnection
*(24:26) Significance of understanding end-to-end business processes
*(28:07) Importance of agility in scaling and streamlining processes
*(31:07) Business architecture's impact on organizational transformation
*(35:33) Generative AI's effect on the role of the CIO
*(39:10) Today's Takeaway
“At the end of the day, if we all step back and we think about the way that our roles have changed as a result of technology. The concept of a technology organization focused only on technology and a business organization focused only on business is a limiting view. And I think because the technology has come to a point is that the CIO of today or the Chief Digital Officer is uniquely positioned to understand enough about technology, that if they have a real passion for the business change and the business process, it actually isn't an IT function, it's a business function. And it's a business function that is enabled and transforming that business through technology.”
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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