Contributors
Chief Operating Officer
January 15, 2025 • 3 Min Read
With AI investment growing so large, one of the biggest challenges organizations must navigate is the significant gap between ideation and execution. A successful AI implementation hinges on an organization’s ability to overcome this gap by prioritizing the initiatives that make the most practical sense when evaluating these three factors.
01.
Where is the cleanest data?
By prioritizing AI investment in areas of the business that already have clean data, leaders can also better position their organization to handle change management and readiness when it’s time for these initiatives to go live.
It is also becoming increasingly important for leaders to prove how their AI investments can help the organization evolve by enabling productivity and innovation, and clean data is the way to begin to demonstrate this in a far more immediate fashion.
Learn more about empowering your teams with high-quality data.
02.
Where is the organization aligned to drive results?
To succeed in any technology implementation, leaders must understand why they’re making the investment, how the technology works with the organization’s other tech and capabilities, and what the overlap is in terms of existing training and user knowledge.
This alignment positions leaders to have the same language discussions with their people and effectively educate them on the power of the products and capabilities they’ve invested in.
03.
Where are the best pockets of use cases?
Within any new technology implementation, leaders must look for pockets of use cases where the new tool can have the most profound impact. Where can generative AI improve productivity, revenue, or innovation? It’s important for organizations to be very careful in prioritizing the uses that make the most sense for the business.
If high-priority AI initiatives are part of your 2025 goals, read Taking Advantage of AI/ML: 4 Key Steps to Build Your Plan.
A version of this article was previously published on Forbes.
