As your organization ramps up its GenAI efforts, CDOs play a pivotal role in delivering reliable results with these programs. Many executives are driving early initiatives, but the transition from pilot to production remains uneven. More than half of data professionals report that GenAI progress slows when fundamental data issues arise.
Data professionals also face new pressures as artificial intelligence (AI) is increasingly used by employees. Responsible use, better insight into how employees use these tools, and a mature data strategy all contribute to how quickly GenAI can deliver results. These requirements necessitate a careful balance between innovation with stronger structure and clearer governance expectations.
Our comprehensive report, funded by Deloitte and based on a survey of 600 data experts, explains real-world situations that CDOs face when scaling GenAI and shaping the company's data strategy.
Highlights and key conclusions include:
- 50% of users of agent-based AI cite problems with data quality and data retrieval as obstacles to implementation.
- 65% state that employees trust AI results even when data gaps exist.
- 76% say that governance has not kept pace with the increasing use of AI across the entire company.
- 86% plan to increase investments in data management to support the growth of AI.