Artificial Intelligence (AI) is a category within our CIO Reference Library that focuses on developing and applying intelligent computer systems capable of understanding, learning, reasoning, and problem-solving. This category is designed to provide CIOs and other IT executives with valuable articles, documents, and resources related to AI and its integration into various industries and applications.
Key topics within the Artificial Intelligence category include:
The Artificial Intelligence category aims to provide CIOs and IT executives with the knowledge and resources they need to successfully navigate the rapidly evolving landscape of AI and its integration into their organizations’ strategies and operations.
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.
These Tech Trends 2025 reports highlight how artificial intelligence (AI) and cutting-edge technologies are shaping industries, transforming businesses, and addressing societal challenges. Dive into key insights on AI’s evolving role, from autonomy to practical applications, and discover how businesses can leverage this for innovation, efficiency, and growth.
This AI procurement analysis addresses the main challenges organizations face in acquiring and integrating AI solutions responsibly. It explores key issues like data governance, vendor management, and ethical considerations, providing actionable recommendations to help organizations enhance their AI strategies.
This AI leadership guide offers an in-depth roadmap for integrating Generative AI within an organization. Covering strategic approaches to drive AI adoption, it explores how to align AI initiatives with business objectives, enhance workplace productivity, ensure data security, and facilitate cross-departmental collaboration.
This 2024 tech trends analysis explores the rise of AI-driven business models, the potential of spatial computing, and the critical need for responsible AI governance. The report provides insights into the evolving landscape of data privacy and cybersecurity, offering actionable recommendations for businesses navigating the AI revolution.
This playbook offers a roadmap for organizations to harness the power of AI while prioritizing worker well-being and inclusion. It addresses key concerns like job displacement, bias, and the digital divide, providing practical guidance for a just transition to an AI-powered future of work.
This comprehensive guide explores the transformative impact of Artificial Intelligence (AI) on marketing, detailing strategies for its effective implementation and the long-term benefits it brings to marketing practices. It delves into current applications, potential future advancements, and the crucial considerations for integrating AI within the marketing sector.
This AI implementation guide provides a comprehensive roadmap for organizations seeking to leverage artificial intelligence to enhance their operations. Covering foundational principles, implementation strategies, and governance frameworks, this guide is a valuable resource for managing AI projects responsibly. It includes practical examples, best practices, and insights into overcoming common barriers, making it essential for any organization looking to adopt AI technologies.
This Generative Artificial Intelligence guide focuses on the application and impact of GenAI in business. It provides an in-depth exploration of the technological advancements leading to GenAI, its building blocks, the current industry landscape, and practical strategies for enterprises to harness its potential.
This AI strategy example provides a detailed framework for responsible AI integration within any organization. It includes principles for ethical deployment, an analysis of high-risk applications such as healthcare and HR, and actionable recommendations for procurement, implementation, and monitoring. This example ensures AI technologies are used effectively and ethically, minimizing risks while maximizing benefits.
