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Forbes Comms Council: Match Your AI and Analytics Initiative to Actual Business Outcomes

By Susanne Pitts

On 7 Apr 2021

1 minute read

Forbes Comms Council: Match Your AI and Analytics Initiative to Actual Business Outcomes

By Susanne Pitts


Posted in Customer Engagement

  • conversational AI
  • verint
  • Analytics
  • data silos
  • Customer Experience
  • covid-19
  • AI
  • Customer journeys
  • customer loyalty
  • artificial intelligence
  • operational efficiency
  • Data Quality
  • Engagement Capacity Gap
  • machine learning
  • customer engagement
  • 0

That title may not sound all that groundbreaking. After all, positive business outcomes usually lead to loyal customers—and we all want those.

However, we've learned that AI and analytics initiatives don’t always translate successfully to business outcomes. We’ve been dealing with the business-altering (and life-altering) challenges of COVID-19 for more than a year. Business models, offerings and customer needs have radically shifted during that time.

Now is a good time to revisit what success looks like in the context of the specific business outcomes that AI and analytics must drive. After all, if your AI can’t make sense of your data and isn’t always improving, it is not likely to serve your company or customers well.

Verint’s Ryan Hollenbeck, senior vice president, global marketing and executive sponsor of Verint's customer experience (CX) program, explores how to apply AI and analytics the most effectively to make them a powerful resource in the pursuit of loyal customers.

Read more.

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