Remove Maine Remove ML Remove Predictive Analytics
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Beyond NPS: Why Customer Feedback Needs a 360-Degree Revolution

eglobalis

The main point here is that we are talking about NPS, but no individual metric can supply all needed information; therefore, I called this article “360 Degree Revolution” since all metrics plus data supply your organization with a much better reality check than anything else.

NPS 373
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How AI and Omnichannel Support Elevate Customer Service in Call Center

Hodusoft

Lack of Proactive Customer Engagement Without AI’s predictive analytics, call centers may miss opportunities to engage customers proactively. Machine Learning (ML) In the last few years, ML is proving to be a game changer for call centers and customer-facing organizations.

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The Current State of AI in BPO Contact Centers

Hodusoft

Besides these two main types of AI, other popular AI systems include- Machine Learning (ML): A subset of AI, which uses algorithms that learn from existing data, or unsupervised learning. Sentiment Analysis: A process that uses NLP and ML technology to determine the emotional tone (negative, positive, or neutral) of a piece of text.

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Harnessing the Power of Generative AI in CRM

SugarCRM

However, with recent technological advancements, Artificial Intelligence (AI) and Machine Learning (ML) capabilities have become infused in all sorts of tools, and CRMs are no exception. Today’s CRM tools have been infused with predictive analytics and machine learning capabilities. Generative CRM: What Is It?

CRM 26
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SugarCRM vs. Microsoft Dynamics: A Guide to Choosing the Best Option for Your Company

SugarCRM

Although Microsoft Dynamics shares similar sales and marketing capabilities, like customer journey management, salesforce automation, and customization options, the main differences between the two solutions lie in their respective price points and integration capabilities. Book Demo 5.

CRM 26