Inspire, develop, and guide a winning organization.
Create visible workflows to achieve well-architected software.
Understand and use meaningful data to measure success.
Integrate and automate quality, security, and compliance into daily work.
Understand the unique values and behaviors of a successful organization.
LLMs and Generative AI in the enterprise.
An on-demand learning experience from the people who brought you The Phoenix Project, Team Topologies, Accelerate, and more.
Learn how making work visible, value stream management, and flow metrics can affect change in your organization.
Clarify team interactions for fast flow using simple sense-making approaches and tools.
Multiple award-winning CTO, researcher, and bestselling author Gene Kim hosts enterprise technology and business leaders.
In the first part of this two-part episode of The Idealcast, Gene Kim speaks with Dr. Ron Westrum, Emeritus Professor of Sociology at Eastern Michigan University.
In the first episode of Season 2 of The Idealcast, Gene Kim speaks with Admiral John Richardson, who served as Chief of Naval Operations for four years.
New half-day virtual events with live watch parties worldwide!
DevOps best practices, case studies, organizational change, ways of working, and the latest thinking affecting business and technology leadership.
Is slowify a real word?
Could right fit help talent discover more meaning and satisfaction at work and help companies find lost productivity?
The values and philosophies that frame the processes, procedures, and practices of DevOps.
This post presents the four key metrics to measure software delivery performance.
Volume 1, Issue 2
Sponsored by VMware
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The Fall 2024 issue covers a wide range of timely subjects, including AI-enabled digital twins, autonomous AI in enterprises, DevOps enablement with generative AI, driving innovation through learning cultures, overcoming transformation challenges, strategic cloud decision-making, and managing risks in AI/ML systems. Each article provides in-depth analysis, real-world examples, and practical strategies for addressing complex technological and organizational challenges.
Understand the potential and challenges of integrating AI and machine learning technologies into enterprise systems and processes.
Recognize the importance of fostering a learning culture and managing organizational change to drive innovation and digital transformation.
Develop strategies for identifying and mitigating risks associated with new technologies, particularly in AI and cloud environments.
Gain insights into making informed decisions about technology adoption, vendor selection, and resource allocation to maximize business value.
The Enterprise Technology Leadership Journal is a biannual publication published by IT Revolution. It provides insights and guidance for technology leaders navigating the rapidly evolving landscape of enterprise IT. This open-access journal features articles written by industry experts on topics critical to modern technology leadership and digital transformation.
The journal aims to equip senior technology leaders, executives, and practitioners with actionable insights to drive innovation, improve efficiency, and manage risks in their organizations. It emphasizes the importance of adapting to new technologies like AI and machine learning while maintaining robust governance and security practices. The papers also highlight the critical role of organizational culture, continuous learning, and strategic decision-making in successful digital transformations.
By combining theoretical frameworks with practical guidance and case studies, the Enterprise Technology Leadership Journal serves as a valuable resource for technology leaders seeking to stay ahead in a rapidly changing digital landscape.
Guidance Papers from the 2023 DevOps Enterprise...
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Guidance Papers from the 2022 DevOps Enterprise...
The 2020 DevOps Enterprise Forum White Papers
