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3 Ways to Use Artificial Intelligence in Your Call Center

Fonolo

Wondering how to use artificial intelligence (AI) in your call center? Some people worry that AI is dangerous. Others have their eyes on job loss, thinking that AI might replace human agents altogether. There is plenty to learn about artificial intelligence and its cousin, machine learning (ML).

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Conquering Uncertainty: How Intelligent Document Processing (IDP) Empowers Your Credit Analysts

Lightico

Here’s where Intelligent Document Processing (IDP) for Auto Finance , elevates the role of the credit analyst, & emerges as a game-changing technology. Accuracy at Scale – Building a Foundation for Informed Decisions Human error is an inevitable part of manual processes and data entry.

Finance 75
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7 Proven Strategies to Enhance Efficiency in Auto Loan Originations

Lightico

By offering online applications and leveraging automated workflows, lenders can eliminate time-consuming manual data entry, reduce errors, and accelerate application processing. Incorporating intelligent document recognition technology further simplifies document verification, making the process faster and more accurate.

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Chatbot for Banking – Everything you Need to Know

Ameyo Callversations

Artificial intelligence and machine learning are slowly becoming conventional territories for several industries. Nearly 90% of bank interactions (internal and external) are automated through AI chatbots. Thus, the role of AI chatbots for the banking system in the coming years will be more significant and ever-expanding.

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Looking for Sales Automation? Don’t Skip These 11 Features

SugarCRM

Automated CRM can eliminate manual tasks for sales reps and even prescribe their next move with artificial intelligence. The software uses rules, algorithms, AI, and other digital tools to trigger and automate sales functions, including data entry, document routing, nurture cadences, and so much more.

Sales 26
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The Evolution of Customer Relationship Management: A Look at the Last Five Years

SugarCRM

The ability to track individual customer interactions and analyze that data is a game-changer, especially in an age where customers crave a personalized experience. This sort of data-driven approach to business relationships is still relatively new, though.