Title: Accelerating Reinvention to Support Growth With AI-Powered Operations
Subtitle: Reinvention-ready organizations that have developed Intelligent Operations are 3.3x more likely to have successfully scaled high-value gen AI use cases and report 2.5x higher revenue growth.
Resource URL: https://www.accenture.com/us-en/insights/strategic-managed-services/reinvent-operations-with-genai
Publication Date: 2024-09-17
Format Type: Article
Reading Time: 5 minutes
Contributors: Bhavana Rao;Yusuf Tayob;Arundhati Chakraborty;
Source: Accenture
Keywords: [Artificial Intelligence
Business Strategy
Generative AI
Operations Readiness
Revenue Growth]
Job Profiles: Global Operations Teams;Digital Transformation Consultant;Artificial Intelligence Engineer;Business Consultant;Chief Executive Officer (CEO);
Synopsis: In this report, Accenture's Arundhati Chakraborty, Yusuf Tayob, and Bhavana Rao explain the importance of AI-powered operations for organizational growth and reinvention.
Takeaways: [Organizations that are reinvention-ready are 3.3x more likely to succeed in scaling high-value generative AI use cases, thanks to their operations maturity., High operations readiness correlates with 2.5x higher revenue growth from 2019 to 2023 compared to peers with lower maturity in operations., Only 16% of organizations have the most mature operations, highlighting the opportunity for others to catch up and harness the benefits of generative AI., To scale generative AI successfully, 81% of executives believe rapid experimentation is key, and 71% say they must take more risks in adopting these technologies., Building reinvention-ready operations requires modernizing data infrastructure, embracing AI talent strategies, and ensuring business and IT teams co-own the generative AI roadmap.]
Summary: The report discusses how organizations that are 'reinvention-ready' are significantly more successful in scaling high-value generative AI use cases and achieving higher revenue growth. It highlights that only a small percentage of organizations have reached the highest level of operations readiness, which is crucial for leveraging AI effectively. The piece outlines the components of Intelligent Operations, including talent, assets, platforms, and processes, and emphasizes the importance of rapid experimentation and reduced risk aversion in scaling AI. The article also provides criteria for reinvention-ready operations, such as widespread automation, data and analytics maturity, and AI implementation. It concludes with strategies for developing reinvention-ready operations, including modernizing data foundations, embracing a talent-first strategy, ensuring business and IT collaboration, and adopting leading processes.
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