Brianna White

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Jul 30, 2019
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Only a few years ago, very few companies believed that marketing-specific AI engines would be where marketing was going. In 2018, a mere 29% of marketers used AI in their programs. This was the same year that we launched Selligent Cortex, our own marketing-specific AI engine at Selligent Marketing Cloud, following years of development.
Since then, the number of marketers using AI has skyrocketed. It recently increased to a new high of 84% over the course of 2020, as the technology went from cutting edge to status quo practically overnight. And more are joining the revolution: 77% of retailers are moving to implement AI in 2021.
The fundamental attraction of marketing AI has remained the same: AI lets marketers draw on real-time customer data to deliver ultra-personalized, highly relevant customer experiences across channels and devices at scale – with individualized engagement and journeys for every customer. But as our engineering teams at Selligent spent the last few years building and training such algorithms (with trial, errors, and learnings at every step), I can honestly say that all ‘marketing AI’ is not created equal. 
Continue reading: https://aithority.com/machine-learning/the-ai-revolution-in-digital-marketing/
 

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