This session covered Customer Intelligence 360's ability to flexibly integrate with generative AI tools. With our approach, marketers can leverage generative AI assistants and agents across the customer engagement lifecycle. Some of our core capabilities include leveraging Large Language Models (LLMs) to brainstorming novel campaign strategies, using natural language to build segments for targeting, and accelerating content generation using custom models and knowledge bases. We reviewed one example where we have partnered with the SAS marketing department to develop custom models and knowledge bases to help build email campaigns. We continue to work with customers on these use cases to ensure we are developing intuitive and valuable capabilities for end users. We will also discuss how marketers can leverage generative AI technology in their marketing environments. This includes prioritizing data privacy, avoiding sharing sensitive company and customer data with these models, keeping a human in the loop, implementing a review and approval process, and creating interpretable and transparent output. This presentation equips marketers with the knowledge and tools necessary to harness the power of generative AI while upholding ethical practices and maintaining trust with consumers.
Presentation slides are attached to this post.
I appreciate the emphasis on keeping humans in the loop, implementing review processes, and ensuring transparent output. These are crucial aspects of responsible AI usage, and they help build trust with both customers and stakeholders.
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