What challenges do you see for data in the year ahead that will have an impact on your clients and on the industry as a whole?
The industry will need to do a balancing act between the risk and opportunities that generative artificial intelligence (genAI) presents. There is no denying the opportunity that AI in general and genAI in particular presents – across efficiency, process transformation, and customer impact. However, it also presents risks – reputational and regulatory exposure, technical redundancy if you back the wrong stack, customer impact, and more. From a data perspective, this is an opportunity to fix the foundations – data and model governance, infrastructure, and machine learning operations. One more challenge I foresee is increased scrutiny on energy consumption by data centres and cloud spend management in the enterprise.