Remove Engineering Remove ML Remove NPS
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Ask the Expert: Your Topic Modeling and Machine Learning Questions Answered

Callminer

Is topic modeling supervised machine learning (ML)? We have built a powerful set of tools that can build unsupervised ML topics, but as you know any unsupervised still needs some human intervention, just not in creation. Let’s say the customer is interested in determining the factor that effect NPS score.

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Why Your AI Project Is Failing To Deliver Value

VOZIQ

Results from Algorithmia’s third annual survey, 2021 Enterprise Trends in Machine Learning, showed that 76% of enterprises prioritize AI and machine learning (ML) over other IT initiatives in 2021. In their minds, AI is about developing some ML models which one of their data analysts or data scientists can easily accomplish in a few months.

AI 52
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VOZIQ AI Wins 2022 CUSTOMER Product of the Year Award

VOZIQ

TMC recognizes the AI/ML Customer Retention Platform for the fourth time in a row. Suresh Akula, co-founder and Chief Technology Officer of VOZIQ, highlighted Offer Optimization Engine, one of the latest additions to the operationalization suite of VOZIQ AI, to illustrate what distinguishes VOZIQ AI from competitors.

AI 40
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Why Your AI Project Is Failing To Deliver Value

VOZIQ

Results from Algorithmia’s third annual survey, 2021 Enterprise Trends in Machine Learning, showed that 76% of enterprises prioritize AI and machine learning (ML) over other IT initiatives in 2021. In their minds, AI is about developing some ML models which one of their data analysts or data scientists can easily accomplish in a few months.

AI 40
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Wootric’s Deepa Subramanian on measuring the voice of the customer

Intercom, Inc.

I started in technology at Salesforce – I was their first female engineer and learned early on how valuable it can be to build a company from the perspective of your customer. Paige: I’ve heard about NPS and CSAT and used them quite a bit in the past, but I’d love to hear a little bit more about how you measure customer effort.

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CX Automation: How to Deliver Seamless Customer Experiences with Efficiency

SurveySensum

Personalized chatbots : They use NLP (natural language processing) and ML (machine learning) to understand not only the customer’s query but their intent and sentiment as well. NPS surveys can be conducted at any point along the customer journey and provide valuable insights for prospective customer segmentation.

CX 52
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Contact Center Technology Stack: The (Immediate) Transformation You Need?

Ameyo Callversations

Next-gen technologies such as AI, ML, NLP, AR/VR, and more are capable of helping reduce cost and improving metrics such as revenues, wallet and market share, and steady cash flows. Brands should focus on their CSATs and NPS scores and use Tech wherever necessary to improve these metrics.