A new IBM study shows that even as Chief Data Officers ramp up artificial intelligence initiatives, many grapple with inadequate data skills. The findings reveal that 81% of surveyed CDOs prioritize AI investments, yet market successes hinge on proprietary data and bridging the expertise gap.
IBM Study: Chief Data Officers Redefine Strategies as AI Ambitions Outpace Readiness
Key Takeaways:
- Chief Data Officers heavily emphasize AI investments.
- Leveraging proprietary data is seen as a competitive edge.
- Nearly half of survey respondents cite advanced data skills as a key need.
- Ambitious AI goals often surpass current organizational readiness.
Growing AI Ambitions Among CDOs
The latest IBM study highlights that Chief Data Officers are increasingly focusing on artificial intelligence. A striking 81% of surveyed CDOs report that accelerating AI capabilities and initiatives tops their priority list. This intensified focus suggests that many organizations now see AI as critical for future success.
Proprietary Data: The New Competitive Edge
Another notable finding is that 78% of surveyed leaders cite leveraging proprietary data as a top strategic advantage. In a rapidly evolving technology landscape, having unique data gives businesses an edge in developing distinctive products and services. By centering their AI initiatives on exclusive datasets, organizations aim to stand out from their competitors.
Skills Gap Challenges
Despite these lofty ambitions, nearly half of respondents acknowledge they lack advanced data skills within their teams. As AI adoption accelerates, the need for specialized expertise becomes ever more pressing. This skills gap, if unaddressed, could slow or limit the impact of AI on business operations and innovation.
Balancing Ambition with Readiness
While CDOs set their sights on AI-driven strategies, the pace of implementation does not always match the scale of their goals. Organizations must ensure that they have both the talent and the data structures to support their ambitious plans. By aligning technical readiness with strategic vision, companies can unlock the true potential of AI in the long run.