Humanize Automation: How Customer Data Can Transform Customer Experiences In this free webinar, we'll unlock the secret to personalization at scale with AI and data-driven insights.

By Entrepreneur Events

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In today's digital-first world, automation has become the backbone of customer engagement. But let's face it—automation alone isn't enough. Customers crave experiences that feel personal, thoughtful, and genuinely human. That's where data-driven automation comes in, helping to transform customer interactions from robotic transactions into meaningful conversations.

Customers no longer tolerate generic interactions. They expect brands to know them, anticipate their needs, and engage them in ways that feel authentic (whether it's through email, chatbots, or real-time support). But how do you achieve this without overwhelming your team or sacrificing efficiency?

Join us for an exclusive webinar, Humanize Automation: How Customer Data Can Transform Customer Experiences, produced by Oracle NetSuite and Entrepreneur. We'll explore how businesses can use AI and customer data to help create hyper-personalized experiences at scale—without losing the human touch.

Generative AI-researcher and Chief Experience Officer of Render Dr. Jill Schiefelbein will be joined by data expert Ash Kalb of Fulcra Dynamics. The conversation will focus on helping business leaders and entrepreneurs understand how to leverage data to the benefit of their customers.

In this webinar you'll learn:

  • How to outline your customer experience: Defining your four phases and touchpoints
  • How to use AI without feeling artificial: Demonstrating the balance between automation and personalization
  • How to turn insights into meaningful interactions: Using data to drive deeper customer relationships
  • How to create strategy around your processes: Learning how to put the human first and the tool last.
  • And much more.

The Humanize Automation: How Customer Data Can Transform Customer Experiences webinar will take place live on Tuesday April 22 at 12 p.m. ET | 9 a.m. PT.

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