On this episode of DevOps Dialogues: Insights &amp; Innovations, I am joined by The Futurum Group’s Stephen Foskett and Keith Townsend, for a conversation on the impact of AI and Generative AI on DevOps, application modernization, and innovative development methodologies. The discussion covers:   How the integration of AI, including Generative AI (GenAI), has impacted the efficiency and effectiveness of DevOps practices within modern software development lifecycles   Specific examples where AI technologies have enhanced or optimized DevOps processes such as continuous integration, continuous deployment, and automated testing   The challenges when implementing AI/GenAI within DevOps frameworks, and how can organizations address issues related to transparency, accountability, and bias in AI-driven decision-making   Ways that AI contributes to the evolution of DevOps culture, collaboration, and cross-functional team dynamics, particularly in environments focused on agility and innovation   How AI-powered analytics and predictive capabilities influence decision-making processes in DevOps, including resource allocation, risk management, and performance optimization across development, testing, and deployment pipelines   These topics reflect ongoing discussions, challenges, and innovations within the DevOps community. &nbsp;

Impacts of AI & GenAI to DevOps | DevOps Dialogues: Insights & Innovations

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Impacts of AI & GenAI to DevOps | DevOps Dialogues: Insights & Innovations

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