Imagine a world where AI doesn’t just adjust the tone of a message to ‘witty’ or ‘professional,’ but adds tone and context based on customer data.
What I mean by ‘Spammers’
Jay Schwedelson
Michelle Taite, CMO, Intuit Mailchimp
Can ‘hyper’ ever become a segment of one?
How AI will improve our personalization
Customer context
- AI delivers the ability to scale personalized research. A whole series of martech scraping tools do this for us today.
- AI has the ability to make sense of unstructured data like emails, transcripts, discussions and more. Large language Models (LLMs) can synthesize all of this unstructured data.
What becomes possible when we enable ‘Customer Tone’
Hyper-based optimism
- Will we start on a roadmap to train models to reflect customer context and tone?
- Will we take the incremental human cost that we’re going to save through AI and use it to give humans the time to truly personalize communications?
About the author
In addition to consulting, Milt is also a passionate higher education instructor. He is currently a Program Leader for Kellogg’s Graduate School of Management Executive Education, and is teaching Digital Marketing at UW-Madison.
With 30 years of leadership experience, Milt has focused on aligning service, marketing, sales, and IT processes around the customer journey. Milt started his career with GE, and led cross-functional initiatives in field service, software deployment, marketing, and digital transformation. Following his time at GE, Milt led marketing operations and customer experience teams at Connecture, HSA Bank and MSI Data, and he has always enjoyed being labeled one of the early digital marketing technologists. He has a BS in Electrical Engineering from UW Madison, and an MBA from Kellogg School of Management.
In addition to his corporate leadership roles, Milt has been focused on contributing back to the marketing and regional community where he lives, and he supports multiple non-profit boards.
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