The research identifies organizational readiness challenges, such as the lack of AI Governance, Risk, and Compliance policies, and emphasizes the importance of data quality in successful AI implementation. Many businesses plan to develop data management capabilities, and skilled partnerships are deemed crucial for AI success. Lenovo advocates for a hybrid AI approach to ensure scalability and tangible business outcomes, emphasizing the need for a data-driven strategy to harness AI's transformative power.
Key takeaways:
- AI spending is expected to nearly triple in 2025, but proving ROI remains a significant barrier to adoption.
- Generative AI adoption is accelerating, with expectations that 42% of enterprises will use GenAI-powered applications by next year.
- Data quality is crucial for successful AI implementation, with many organizations planning to develop data management capabilities.
- Lack of skilled expertise is a common barrier to AI investment, highlighting the need for partnerships with strong AI capabilities.