Remove Actionable Insights Remove AI Remove ML
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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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Qualtrics vs SurveyMonkey: A Detailed Comparison for 2025

SurveySensum

It helps you create and launch surveys with AI capabilities and collect key customer insights to drive business growth, understand customer satisfaction and loyalty, and improve the overall customer experience. Qualtrics provides advanced data analysis tools, including text analysis, statistical modeling, and AI-driven insights.

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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. But it is one thing to claim that a business values customer feedback and another to sift out the actionable data.

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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. Think of this as a casual chat where we unravel the complexities of ML testing, making it digestible for everyone, regardless of their technical background. Because ML systems aren’t just coded; they’re trained. And our goal?

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Keeping the human touch in an AI-driven future with Amazon Web Services’ Deepam Mishra

Zendesk

One of those experts, AWS’ Deepam Mishra , has seen—and been directly involved in—the rise of AI for well over 15 years. At AWS , Mishra serves as senior advisor to AI/ML startups, where he leads several programs related to startup-scaling, generative AI, and joint innovation.

AI 52
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Trends shaping The Forrester Wave™: Customer Success Platforms report

Totango

The report also explains that advanced technologies, like AI and machine learning, also enhance the efficiency and impact of CS teams by: Extracting actionable insights from customer data to prompt customer-centric business decisions. Deliver in-app guidance and content aimed at prioritizing user adoption.

B2B 98
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The Role of NPS in Banking and Other Financial Institutions

SurveySensum

Artificial Intelligence: With AI, banks can improve and automate their customer support, making the service more efficient. By implementing AI tech like chatbots, and AI meeting assistants banks can respond faster to customer queries improving their CX. Strategy: Implement a robust system for analyzing NPS feedback.

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