article thumbnail

Artificial Intelligence in CX Learning

ClearAction

Artificial Intelligence in CX Learning Lynn Hunsaker Beware of artificial intelligence in CX learning! Artificial intelligence (AI) is a top topic in customer experience management. This is proactive rather than reactive, and it’s intelligent versus current less-intelligent practices.

article thumbnail

Text Analytics in Customer Feedback: The CXO’s Secret Weapon

Lumoa

Here are some strategies to refine your ability to spot and utilize valuable data through text analytics: Amplify the Voice of the Customer (VoC) : Place a stronger emphasis on understanding and responding to the VoC. Lumoa lets you track VoC across multiple channels and monitor customer journeys as they progress. The result?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Current Status of Speech (and Text) Analytics

DMG Consulting

Interaction analytics capabilities are now finding their way into many third-party systems, including cloud-based contact center infrastructure solutions, customer relationship management (CRM) solutions, voice-of-the-customer (VoC) offerings, BI applications, and more. Transformational Benefits of IA.

article thumbnail

CX Automation: How to Deliver Seamless Customer Experiences with Efficiency

SurveySensum

CX automation involves leveraging technologies such as AI (artificial intelligence) and RPA (robotic process automation) to automate customer support and marketing campaigns, collect and analyze customer feedback, and personalize customer experience. In this blog, we are going to explore the hot topic of CX automation from A to Z.

CX 52
article thumbnail

What is the Role of AI in Customer Feedback Analysis?

Lumoa

But it is no longer a challenge, thanks to modern technologies like martech tools and back-office solution software and the use of artificial intelligence (AI) in customer feedback analysis. It is a technique that uses Natural language processing (NLP) and machine learning (ML) to scour emotions, opinions, and perspectives.