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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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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How bots, messengers and apps will define 2019 with Des Traynor, Paul Adams and Emmet Connolly

Intercom, Inc.

Up until quite recently, if you wanted to build an ML system, you needed to have a hardcore engineer who understood ML and used TensorFlow or one of these products that were very inaccessible to most product people. Maybe there’s more of a route to success for businesses like ours that charge money for their products.

ML 143
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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.

ML 52
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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.

ML 40
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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

Search Engine Optimization: Identifies trending keywords and topics to improve search rankings. Correlate Sentiment with CX Metrics – Align sentiment analysis with NPS, CSAT, and CES scores to uncover issues affecting customer experience. Sentiment Analysis Applications: 1.

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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