As organizations continue to navigate the impact of generative AI, leaders must focus on several key trends that will shape their operations in the year ahead. According to experts Thomas H. Davenport and Randy Bean, five areas require attention.
Measuring ROI is crucial, as it helps ensure investments yield tangible results. This involves tracking metrics such as cost savings, productivity gains, and revenue growth. Organizations must also reassess data structures and reporting lines for data and AI leadership roles.
Moreover, building a data-driven culture remains an ongoing challenge. Effective data governance, collaboration, and training are essential to overcome this hurdle. Additionally, managing unstructured data has become increasingly important due to the vast amounts of non-organized data being generated daily.
Agentic AI poses a significant threat, as it can automate critical tasks, leading to job displacement. Leaders must develop strategies to address these risks while leveraging agentic AI for growth and innovation.
By staying informed about these key trends, leaders can make more informed decisions on implementing AI responsibly and effectively, separating genuine opportunities from hype.
Source: https://sloanreview.mit.edu/video/five-ai-and-data-science-trends-that-matter-for-2025