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.
