Beyond privacy and security concerns

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There are legitimate concerns about exposing private customer data and violating copyright laws or data compliance requirements. Specifically, organizations are looking to use vendors that have already implemented adequate security measures, such as data masking . Another way to protect yourself from potential risks is to choose a vendor that offers AI as a technology that is already integrated into their core CRM solution , to avoid the added complications and complexity of trying to integrate an external source.


Our advice: Work with a trusted AI vendor that self employed data ensures careful management of AI inputs and outputs. Your data should be “masked” when shared with large language models. When considering an external or hosted model from a vendor, make sure that the content of your inputs and prompts is not stored and that you always maintain control over the use of your data. prompts and outputs should be automatically scanned for malicious outputs.


Finally, depending on your AI use case, you should always keep a human in the loop to ensure the necessary level of quality, accuracy, and reliability. 3. Provide training and retraining opportunities In light of the increased integration of AI into organizations, nearly half of respondents agreed that continuous professional skills updating is needed. This need, in addition to the general lack of understanding of the basic concepts of AI, highlights the opportunity to adopt a thoughtful and informed approach to AI training.