The rapid rise of AI has placed more importance on data than ever before. After all, there will be no AI without data. And unlocking the data potential requires more than digital transformation; enterprises will need as much high-quality data as possible to feed these AI models for accurate and intelligent outcomes.
To help businesses navigate the regulatory landscape, Singapore’s PDPC has issued advisory guidelines that advocate for transparency in the use of personal data within AI systems. Join this session to bridge the gap between stringent data protection requirements and the need for substantial data utility.