FOREWORD The vital role of data governance in building AI models
As businesses rapidly adopt Generative AI , experts warn that neglecting robust data governance can limit potential and pose security and ethical risks
“ As organisations move quickly to employ gen AI models , they are often failing to consider the importance of established data governance capabilities ”
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Businesses are embracing AI at an accelerating pace , enticed by the promise of data-driven insights and automation . But as organisations move quickly to employ Generative AI models in order to transform their business , they are often failing to consider the importance of established data governance capabilities .
According to a report by Deloitte , data governance plays a pivotal role in fostering innovation in the evolving AI landscape by ensuring responsible data practices , mitigating biases , and safeguarding privacy . A robust data governance strategy , it says , is the key to unlocking the full potential of generative AI use cases .
However , this rapid adoption poses a myriad of challenges around data governance and model management . Without robust data governance capabilities , the potential impact and value added by Generative AI will be severely limited and may even expose organisations to data and cybersecurity risks .
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