Remove AI Remove CRM Remove Predictive Analytics Remove Unstructured Data
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Harnessing the Power of Generative AI in CRM

SugarCRM

In today’s business landscape, it’s hard to find an organization that operates without CRM tools, even in its primitive forms. 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.

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How Artificial Intelligence and Predictive Analytics Can Help You Reduce Customer Churn

CSAT.AI

CB Insights used their own AI-powered software, Mosaic, which uses public data and predictive algorithms to provide intelligence on private companies, to compile the list. AI has successfully been implemented in this scenario as well when combined with data sets. Analyze your data and data-gathering tools.

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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. The precious calls with the customers provide the purest data and feedback about your customer. This integration enables them to collect data in real-time.

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Building a better Social Suite: 12 features that fuel your enterprise-wide social media strategy

Sprinklr

Monitor and analyze results with visual insights that help you aggregate millions of data points in one place. Surface actionable insights across billions of data-points by using industry-leading AI for unstructured data. Learn more about Sprinklr’s AI-powered social listening tool.