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Ask the Expert: Your Topic Modeling and Machine Learning Questions Answered

Callminer

Our ongoing AI webinar series has been full of great audience questions on artificial intelligence, machine learning, and natural language processing. We wanted to highlight some from our most recent How to Use Topic Modeling to Extract Conversational Insights. Is topic modeling supervised machine learning (ML)?

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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

This real-time flow of data (in multiple languages and markets) gave HP actionable insight into user experience issues with current product versions, something the slow survey cycle failed to do. What makes this powerful is that the action precedes the complaint turning CX management into a preventative discipline.

AI 326
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Ahead of the Curve: MarTech-Driven Customer Experience Evolution

eglobalis

By leveraging AI and machine learning, companies can predict customer needs, automate responses, and deliver a cohesive and engaging customer experience. These tools allow businesses to create seamless, personalized experiences by understanding customer interactions across various touchpoints and channels.

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My Understanding of AI in CX so Far. Things Could Change!

CX Accelerator

Do terms like NLP and Machine Learning mean anything to you? The big challenge is parsing through the data to get actionable insight and NLP is foundational to this work. Machine Learning The second important concept in this mix is Machine Learning. This doesn’t happen without NLP.

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Machine Learning Development: A Comprehensive Review of Booktest and Testing Tools

Lumoa

We’re tackling a complex yet crucial topic in machine learning and AI development. Here, I’m going to use Lumoa text analytics engine as a real-life example, of using booktest to develop a complex machine learning system and assure its quality. And our goal? This distinction brings a whole new set of complexities.

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The Upcoming Impact of AI on Enterprise Technology Design: Enhancing CX and Business Outcomes

ECXO

Enhanced Data Analytics AI algorithms excel at analysing large datasets quickly and accurately, providing actionable insights previously unattainable due to the sheer volume and complexity of the data. The focus will shift to functionality, adoption, and customer experience and its outcomes. This will mean no more wasted time.

AI 227
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Unleashing the Power of Real-Time Data: Enhancing Customer Understanding

ECXO

Agile, cross-functional teams – marketing, sales, customer services and contact centres, operations, product teams, tech and PR have access to instant, actionable insights. AI, automation and machine learning mean solutions are available to meet these expectations – at scale. They want to be seen as individuals.