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2894: IBM and the AI Revolution: Enhancing Enterprise Applications

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Innehåll tillhandahållet av Neil C. Hughes. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Neil C. Hughes eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Are enterprises ready to harness the full potential of generative AI in application modernization? In today’s episode of Tech Talks Daily, we dive deep with Kyle Charlet, IBM Fellow and CTO for IBM Z Software, exploring the transformative impact of AI on hybrid cloud strategies and legacy systems.

Kyle provides expert insights into how application modernization is crucial for executing successful hybrid cloud strategies, with generative AI playing a critical role in this evolution. He discusses the benefits of AI in translating outdated code from languages like COBOL to more contemporary languages such as Java, enhancing developer productivity, and ensuring business agility. With IBM’s comprehensive lifecycle approach, Kyle outlines how organizations are not just rewriting, but intelligently enhancing their existing assets for future-proof platforms.

We also cover the significant challenges that come with modernization, such as understanding complex, monolithic legacy applications developed over decades. Kyle explains how generative AI serves as a tool to demystify these systems, assisting in generating test cases, synthetic data, and highlighting potential security vulnerabilities that need addressing from the outset.

The conversation shifts to the impact on IT roles and skills, emphasizing the increasing importance of testing, security, and integration competencies. Kyle points out that developers will need to adapt rapidly to interpret AI-generated code and focus more on application architecture and less on building from scratch.

Looking ahead, Kyle speaks on the expectations for faster innovation cycles and more interconnected systems across hybrid environments. He stresses the need for Ops teams to prepare for managing this complexity and the optimization of DevSecOps pipelines to stay competitive.

Join us as we explore how generative AI is reshaping the landscape of application modernization and what this means for the future of enterprise IT. After the episode, we invite you to share your thoughts: How do you see generative AI influencing your industry’s approach to modernization and hybrid cloud strategies?

  continue reading

2030 episoder

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iconDela
 
Manage episode 418109319 series 80936
Innehåll tillhandahållet av Neil C. Hughes. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Neil C. Hughes eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Are enterprises ready to harness the full potential of generative AI in application modernization? In today’s episode of Tech Talks Daily, we dive deep with Kyle Charlet, IBM Fellow and CTO for IBM Z Software, exploring the transformative impact of AI on hybrid cloud strategies and legacy systems.

Kyle provides expert insights into how application modernization is crucial for executing successful hybrid cloud strategies, with generative AI playing a critical role in this evolution. He discusses the benefits of AI in translating outdated code from languages like COBOL to more contemporary languages such as Java, enhancing developer productivity, and ensuring business agility. With IBM’s comprehensive lifecycle approach, Kyle outlines how organizations are not just rewriting, but intelligently enhancing their existing assets for future-proof platforms.

We also cover the significant challenges that come with modernization, such as understanding complex, monolithic legacy applications developed over decades. Kyle explains how generative AI serves as a tool to demystify these systems, assisting in generating test cases, synthetic data, and highlighting potential security vulnerabilities that need addressing from the outset.

The conversation shifts to the impact on IT roles and skills, emphasizing the increasing importance of testing, security, and integration competencies. Kyle points out that developers will need to adapt rapidly to interpret AI-generated code and focus more on application architecture and less on building from scratch.

Looking ahead, Kyle speaks on the expectations for faster innovation cycles and more interconnected systems across hybrid environments. He stresses the need for Ops teams to prepare for managing this complexity and the optimization of DevSecOps pipelines to stay competitive.

Join us as we explore how generative AI is reshaping the landscape of application modernization and what this means for the future of enterprise IT. After the episode, we invite you to share your thoughts: How do you see generative AI influencing your industry’s approach to modernization and hybrid cloud strategies?

  continue reading

2030 episoder

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