2025 data & AI radar: 10 challenges to master your data & AI transformation in 2025
Published January 17, 2025
- Data & AI
2024 has been an arduous year for Chief Data Officers and their teams. With the advent of AI, particularly generative AI, COMEX interest in and ownership of data & AI topics, and regulations, CDOs/AI leaders have had to grapple with new challenges while remaining strong in their historic core activities: ensuring that the company derives maximum value from its data assets to improve its performance, decision-making, and competitiveness.
To prepare your strategies and roadmaps for 2025 (and beyond), Wavestone has analyzed the major trends that are currently occupying the daily lives of CDOs/AI leaders and will be at the heart of their challenges over the coming years.
2025 Data & AI Radar
Scaling up AI and industrializing governance
- Moving beyond the experimental stage
- AI Factory: towards a new organizational model
- MLOps: industrializing AI models
- Beyond PoCs: towards controlled industrialization
- Modular GenAI platforms
- Agents at the heart of the GenAI strategy
- AI Act: preparing for compliance
- A growing need for trusted AI
- AI cybersecurity: new threats, new protection
Data everywhere, accessible and usable by everyone
- A federated data office organization
- Unified roles and practices
- Data assets organized into data products
- Promoting self-service via a data marketplace
- Citizen Data Scientist: democratizing data science
- Data Storytelling: the art of making data talk
- Data observability: real-time supervision
- Governance of unstructured data
- AI for data quality
Seeking return on investment
- Select the right use cases
- Systematically measure value
- Monitor adoption and performance
… and what’s next? Preparing for the future by putting people at the heart of your transformation
- Demystifying AI to reassure
- Adapting training courses to personas
- Raise awareness that without good data, there can be no AI
- Exacerbated competition
- Rethinking your retention strategy
- Reskilling and upskilling
- Different impacts of AI on jobs
- Workforce planning strategy
- Driving change by involving social organizations
Thanks to Stéphan Mir, Guillaume Le Floch, and Ibrahim Sail for contributing to this study.
