Remove Machine Learning Remove Predictive Analytics Remove Unstructured Data
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The Future of Customer Experience: Embracing AI, Predictive Analytics

SurveySensum

We are so used to Netflix’s recommendations, the tailored playlist of Spotify, shopping recommendations of Amazon, etc, so much so that according to McKinsey 35% of Amazon and 75% of Netflix recommendations are provided by machine learning algorithms.

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Track Performance and Boost Operational Efficiency With Contact Center Analytics

SurveySensum

Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc. Let’s understand each of them.

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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 Unified Care. Brands are awash in an ocean of unstructured data.

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Accelerate Your Marketing Efforts with the Help of Generative AI

SugarCRM

From shaping the buying experience to lifecycle marketing and digital experiences, Machine Learning and AI have entirely changed how marketing departments operate. Info generated by text, images, videos, and other types of data that usually don’t fit into regular databases can now be processed with the help of generative AI.

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How to Streamline Auto Loan Origination with Intelligent Document Processing (IDP)

Lightico

IDP leverages and combines AI, Large Language Models (LLM) , OCR, and natural language processing (NLP) to seamlessly extract data from a diverse array of documents, ranging from scanned forms to digital submissions. All with our pre-training.

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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.

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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.