Cisco Umbrella and generative AI

such as for marketing newsletters and blogs, that provide immediate tangible value and efficiency.

through chatbots that offer human-like responses to customer inquiries or agent assistance toward better human-to-human service.

through machine learning that analyzes customer purchasing history and online behavior to improve product recommendations.

and knowledge management systems that open the exchange of knowledge previously bogged down by inefficient tools and processes.

especially within industries where multiple years of research and development can delay launches of new products.

Content quality created through generative AI can vary widely, depending on the quality of the data used to train the model.

Biases that exist in the data used to train the model can perpetuate in the content output, which could be discriminatory or offensive.

From an ethical standpoint, generative AI can be used to create content that can be used to spread misinformation or deceive people.

Content produced from generative AI models may infringe on intellectual property rights, such as copyrights or trademarks, due to models not knowing better about the kind of output to deliver.

Sensitive company data leakage may occur through generative AI tools due to employees inadvertently entering source code or some other IP without realizing the vulnerability.