Hyper-personalization in marketing: AI’s role in transforming customer engagement
As artificial intelligence continues to penetrate various sectors, AI-powered marketing is gaining momentum. Enterprises are increasingly using AI to tailor offers and messages to individual consumer behaviors, purchase history and preferences.
To drive bespoke digital shopping experiences through hyper-personalization and individualization of marketing content, AI-driven marketing is emerging as a perfect remedy, according to Christian Stano (pictured), engineering manager of MLOps at Attentive, a product of Attentive Mobile Inc.
“One of our goals as a company is to become the AI-powered SMS, email messaging and marketing platform,” Stano said. “I think if we think about marketing for the last 20 years, specifically SMS marketing, what drives conversion and engagement with consumers, it’s personalization. One of the amazing things with the emergence of machine learning and generative AI is that it really breaks that constraint, driving not just personalization, but individualization.”
Stano spoke with theCUBE Research’s Savannah Peterson at the Anyscale Ray Summit 2024 event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed why AI-powered marketing enhances customer experience and personalization. (* Disclosure below.)
The need for a unified AI platform in AI-powered marketing
AI-powered marketing helps marketers eliminate hard coding by making the customization process more dynamic and flexible. As a result, Attentive uses Anyscale Inc. and Ray as its unified AI platform to address data complexity issues, Stano explained.
“There’s an S curve of growth for machine learning and AI platforms … then you hit the data and the compute ceiling, there’s just so much complexity,” he said. “The beauty of Anyscale and Ray is that it really unifies, from a data ingest point to inference output point, that whole ecosystem and framework with plug and play modules all over the place. For me as a MLOps practitioner and for my coworkers on the machine learning side, this is an absolute dream come true.”
Since message personalization is top of mind for marketers, Attentive’s future goal is to be a unified AI platform. This is because it helps with lifting all the data ceilings and enabling the accessibility of a scalable compute cluster, according to Stano.
“I think I would love to come back and talk about the one-and-a-half year journey of unifying our AI platform — the AI compute engine, and that’s a lot of the way that we’re thinking about the platform as well,” he said. “These features are released as part of Ray and as part of Anyscale. I think in a year and a half, I really, really look forward to coming back and saying, ‘This is the unified platform.’”
Here’s the complete video interview, part of SiliconANGLE’s and theCUBE Research’s coverage of the Anyscale Ray Summit 2024 event:
(* Disclosure: Anyscale Inc. sponsored this segment of theCUBE. Neither Anyscale nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
Photo: SiliconANGLE
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