Wavestone ：2025数据与AI雷达：掌握数据与人工智能转型的10大挑战研究报告(英文版）（30页）.pdf

1、10 challengesto master your Data&AI transformation in 20252025 DATA&AI RADAR2Summary.and whats next?Preparing for the future by putting people at the heart of transformation.and whats next?Preparing for the future by putting people at the heart of transformation27CHAPTER 1The rise of AI:time to scal

2、e up and industrialize governance1.Industrializing AI 2.GenAI at scale:moving beyond PoC to realize the opportunities offered by generative AI3.AI governance:increased complexity to address all the underlying issues4.Data/AI acculturation on a large scale,to accelerate innovation and prepare for the

3、 future479512CHAPTER 2Unlock the full potential of Data5.A federated organization to unify Data-related roles,standards,and practices6.Democratize the use of Data for as many people as possible7.Data storytelling,or the art of making Data speak for itself13141720CHAPTER 3Data governance and quality

4、remain key concerns8.Successfully combining Data Quality and Data Observability9.Governance of unstructured Data:a growing problem for organizations10.Systematize the measurement of the value generated by Data212224253Data&AI:what can we expect in 2025?The year 2024 has been a challenging one for Ch

5、ief Data Officers/AI leaders,many of whom now also hold the title of Chief Data&AI Officer,along with their teams.The rise of AI,particularly generative AI,increased interest from executive committees(ExCom)in Data&AI,and evolving regulations have put Chief Data Officers under pressure to tackle mul

6、tiple challenges.Theyve had to address these emerging priorities while excelling in their traditional role:ensuring the company maximizes the value of its data assets to enhance performance,decision-making,and competitiveness.To help you prepare your strategies and roadmaps for 2025(and beyond),Wave