Why AI deployment requires a new level of governance – IT Security News
Author: script | Source: IT Security News | Read the full article
In a recent discussion, Lee Waskevich, the VP of Security at ePlus, highlighted the critical need for improved governance when deploying artificial intelligence (AI) technologies. As organizations increasingly rely on AI, it becomes essential to manage data effectively to ensure security and quality. The insights from the ePlus AI Readiness survey revealed that many companies are particularly concerned about data quality, security, and governance, indicating a pressing need for robust data management strategies.
Waskevich emphasized that before launching any AI initiatives, organizations must first identify the specific data they will use. This step is crucial because the success of AI projects largely depends on the quality and reliability of the data being processed. By focusing on these aspects, companies can better navigate the complexities of AI deployment and mitigate potential risks associated with data mishandling.
Overall, the conversation underscores the importance of establishing a strong framework for data governance in the age of AI. As technology continues to evolve, organizations must adapt their strategies to ensure that they are not only leveraging AI effectively but also safeguarding their data assets.
