In both these sectors, leaders are increasingly expected to deliver more with fewer resources, making performance and efficiency top priorities. To many, AI seems like the game-changing tool that leaders have been looking for to fast-track performance decisions and find new efficiencies and opportunities. But outputting precise, action-ready decisions from AI tools starts with aligning the technology with business processes and required user experiences. It demands the highest data quality, practices and governance, and that means embracing best-in-class processes that require investment and effort to implement.
If you’re one of these sector leaders facing pressure from leadership to deliver better results and from the board for faster adoption of AI tools, here are the factors you need to know to make your data, and the decisions it informs, more intelligent.
Adopting a new technology mindset for AI integration
Instead of looking at AI as an off-the-shelf solution to be bought and switched on, leaders are increasingly recognizing the need to evaluate their technology infrastructure and data practices before implementing AI. This starts with prioritizing both the integrity of the data and accessibility to it to build best-in-class foundations that will help AI enhance organizational performance and navigate complexities and change more effectively.
This process includes a few key steps: