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They anticipate a decrease in the involvement of both full-time and part-time employees in technology work, as robotic automation and AI augmentation take on a larger share. However, when asked about the current utilization of AI within their business, the top response from CIOs was uncertainty, with 38% stating that they were “not sure.” Interestingly, when asked to estimate the usage of AI in five years, the number of CIOs who were unsure dropped to 18% . This suggests that while CIOs may not fully understand the current landscape of AI implementation, they anticipate a significant increase in its use in the future.  \nNow is the time to fortify your AI ambition and build real solutions for your everyday problems to drive efficiency and competitive differentiation. In this guide, we explore GenAI’s diverse applications, resources necessary  \nto get the job done, and the strategic considerations that CIOs must weigh for successful implementation. Whether you’re considering pilot projects, optimizing existing workflows, or envisioning a transformative GenAI roadmap, this will guide your organization towards a future where innovation and ROI walk hand-in-hand.  \n3 | The CIO’s Guide to Generative AI  \nFor every $1 companies invest in AI, they are realizing an average $3.50 in return  \n* IDC  \n3.5x  \nCurrent GenAI landscape  \nThis year’s top strategic technology trends are either driven by AI, or supported by an evolving AI-influenced world. However, thereis a difference between AI and GenAI.  \n• AI applies advanced analysis and  \nlogic-based techniques, including machine learning, to interpret events, support and automate decisions, and take actions—ultimately deploying machine learning to complete an action that a human has done in the past.  \n• GenAI refers to AI techniques that learn a representation of artifacts from data and use it to generate brand-new, unique artifacts that resemble, but don’t repeat, the original data—this can include text, images, videos, audio, structures, computer code, synthetic data, workflows, etc.  \nAs of November 2023, GenAI is at the top of its hype cycle for emerging technologies.1 We believe it won’t take long for GenAI to greatly impact product development, customer experience, employee productivity, and innovation.  \nGartner predicts by 2026, more than 805 enterprises will have utilized GenAI APIsand models and/or deployed GenAI-enabled applications in production environments.  \nThis represents a significant increase from less than 55 enterprises in 20232, which raisesan important question for CIOs: how will you capitalize on the current moment to lead your company’s integration of GenAI?  \n805  \nenterprises  \nwill have utilized GenAI APIs and models and/or deployed GenAIenabled applications by 2026  \nIt’s not just about staying on-trend with new technologies, but also driving business outcomes. IDC found that for every $1 companies invest in AI, they are realizing an average $3.50 in return. The leading adopters, about 5% of organizations worldwide, are realizing an average of $8 in return.3 Companies that recognize ","cbCaiqQv4bS7EaMT","https://ap.wps.com/l/cbCaiqQv4bS7EaMT","pdf",5524224,16,"English","# Introduction\n## Current GenAI landscape\n## Areas of opportunity\n## Opportunity cost and risk\n## Time horizon\n## Optimize resource allocation for positive results\n## Outcomes you can expect\n## The future of GenAI\n## About Andela","[{\"question\":\"What is the main ROI-focused question the guide addresses?\",\"answer\":\"How do you capitalize on GenAI opportunities to see positive ROI. It emphasizes achieving ROI through efficiency, productivity, and competitive differentiation.\"},{\"question\":\"How does the guide distinguish AI from GenAI?\",\"answer\":\"AI uses analysis and logic-based techniques such as machine learning to interpret events and support or automate decisions. GenAI learns representations from data and generates new, unique artifacts that resemble but do not repeat the original data.\"},{\"question\":\"Why does the guide say timing matters for CIOs adopting GenAI?\",\"answer\":\"It notes rapid growth in enterprise usage of GenAI APIs, models, and deployed applications by 2026, while current adoption varies and uncertainty is common. This creates a window for CIOs to lead integration and capture business outcomes.\"}]","The CIO’s Guide to Generative AI - Everything you need to know to see positive ROI | PDF"]