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7 Must-Have Features for Next-Level Database Monitoring

SurveySensum

The Pulse of Predictive Analytics Predictive analytics forms the heart of proactive database management. Incorporating predictive analytics means your database isn’t solely operational—it’s strategic. 7 Must-Have Features for Next-Level Database Monitoring 1.

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The essential Artificial Intelligence (AI) glossary for contact centres

Logicalware

The benefits of AI within the contact centre AI’s predictive analytics capabilities enable contact centres to anticipate customer needs, forecast call volumes, and identify emerging trends, to name a few benefits, empowering contact centres to manage resources and deliver seamless service proactively.

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The Power of Hyper-Personalization in the Contact Center

Fonolo

Let’s dive deeper into the key components that make up a hyper-personalized customer experience: Proactive Problem Resolution: Using customer data and predictive analytics, contact center managers can identify customer’s needs and potential pain points and proactively address them.

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Speech Analytics and AI Is a Winning Combination

DMG Consulting

These applications are being pushed to the next level by more advanced AI-enabled technologies, like supervised, semi-supervised, and unsupervised machine learning and predictive analytics. As the pace of business has accelerated, the demand for real-time speech analytics has increased. Improvements in Speed and Accuracy.

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AI-Enabled WFM Promotes Efficiency and Flexibility

DMG Consulting

Predictive analytics is already being applied in several WFM modules to improve volume forecasts, project the likelihood of candidates to be successful in the contact center, anticipate employee attrition risks, and provide inputs for long-term planning and hiring.

AI 48
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How to Streamline Auto Loan Origination with Intelligent Document Processing (IDP)

Lightico

By automating credit analysis tasks and leveraging predictive analytics, IDP empowers lenders to mitigate risk, optimize loan pricing, and deliver superior outcomes for both lenders and borrowers.

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From Reactive to Proactive: How Organizations are Using AI-Infused CRM to Level-Up CX

SugarCRM

It takes a lot of processing, which is more effective in the presence of artificial intelligence and predictive analytics. This data feeds a company’s business process engines to support proactive actions to service customers. Turning data such as purchase behaviors into actionable insights takes more than just storing the data.

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