IT operations knowledge refers to the understanding of the organization’s IT infrastructure and the day-to-day activities required to ensure that it runs smoothly. Effective IT operations knowledge can help organizations optimize their IT infrastructure, improve IT agility, and achieve desired business outcomes.
IT operations knowledge may include:
Effective IT operations knowledge requires a deep understanding of the organization’s IT infrastructure, as well as the IT operations processes and best practices. IT executives should ensure that their IT operations knowledge is well-documented and communicated to relevant stakeholders across the organization.
The IT Operations Knowledge category within the CIO Reference Library provides CIOs and other IT executives with a comprehensive set of resources that illustrate effective IT operations knowledge practices. This category includes a range of resources, such as articles, whitepapers, and case studies, that offer insights into different aspects of IT operations knowledge, such as understanding IT infrastructure, monitoring IT performance, managing IT incidents, ensuring compliance, and managing IT vendors. By leveraging these resources, CIOs and IT executives can gain a deeper understanding of effective IT operations knowledge practices and optimize their IT infrastructure to achieve desired business outcomes.
This AI accountability framework provides a clear, actionable structure to govern and evaluate AI systems. Covering governance, data, performance, and monitoring, it equips organizations with the tools to independently verify, audit, and improve AI usage. Use it to define roles, assess bias, track model drift, and align AI systems with organizational values, laws, and ethics.
This cybersecurity framework offers a comprehensive catalog of security and privacy controls designed for real-world implementation. With detailed guidance, adaptable baselines, and risk-aligned structure, it helps organizations strengthen compliance, reduce threats, and build trust—across systems, teams, and regulatory environments.
This cloud computing framework offers IT leaders a practical, structured approach to assess cloud readiness, manage operational and compliance risk, and align cloud service decisions with business goals. Includes tools, templates, and roadmaps to support secure, scalable adoption. Excellent Read! (50+ pgs)
This clear, practical primer on generative AI explains how it works, where it fits, and how to think critically about its role in strategy and operations. It explains LLMs, introduces frameworks like CIDI for prompt engineering, and explores real-world use cases—from education and development to productivity and assessment redesign.
This information security governance guide outlines how to embed security into enterprise leadership, structure, and culture—transforming it from a technical task into a strategic function. It provides clarity on roles, risk ownership, and policy alignment to help organizations build resilient, scalable security programs from the ground up. (150 pgs)
This comprehensive guide walks through building successful enterprise AI initiatives, covering how to identify high-value use cases, prioritize opportunities, and create a clear, executable plan. Packed with real-world strategies, templates, and practical advice, this guide helps IT leaders drive measurable value from AI investments.
This strategic analysis explores how artificial intelligence delivers value across sectors, what drives adoption, where investments flow, and how CIOs can lead transformation. With cross-industry case examples and data-backed insights, this is an essential guide for AI-driven business strategy.
This eBook explores the strategic power of information and how organizations can unlock real business value by integrating, automating, and activating enterprise data. It offers a roadmap for building smarter, faster, and more insight-driven enterprises—where information is treated not as a byproduct, but as a high-value asset.
This practical model for cloud strategy development and execution provides a scenario-based framework to help organizations navigate complexity, align IT and business priorities, and plan innovation-ready cloud strategies. By mapping strategic drivers to technical enablers, this model enables more effective cloud investment planning, cross-functional alignment, and innovation delivery.
This agile delivery guide provides practical “plays” and real-world strategies to help organizations build agile teams, scale delivery, ensure quality, and foster continuous improvement. It covers frameworks like Scrum, Scrumban, and Kanban, and includes guidance on metrics, security, architecture, and cross-team coordination.
