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01 Ago Customer Engagement: Why Is It So Important for Businesses?

Posted at 09:50h in AI News by Purple 0 Comments

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Customer engagement to boost omnichannel experiences Another great customer engagement data point is to monitor upsells and cross-sells. Upselling is a strategy to convince customers to upgrade their purchases to better reach their goals based on their needs. In addition to social media, leverage customer interactions...

19 Mai What Is Cognitive Automation: Examples And 10 Best Benefits

Posted at 10:42h in AI News by Purple 0 Comments

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Evolution of Robotic Process Automation RPA: The Path to Cognitive RPA by AIMDek Technologies The enterprise RPA tools also provide detailed statistics on user logging, actions, and each completed task. As a result, it ensures internal security and complies with industry regulations. Cognitive automation is an...

16 Mai What Is Machine Learning? Definition, Types, and Examples

Posted at 16:35h in AI News by Purple 0 Comments

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What Is Machine Learning? SpringerLink When an enterprise bases core business processes on biased models, it can suffer regulatory and reputational harm. Recommendation engines, for example, are used by e-commerce, social media and news organizations to suggest content based on a customer's past behavior. Machine learning...

15 Fev 7 Best AI Chatbots for E-Commerce to Boost Sales

Posted at 14:27h in AI News by Purple 0 Comments

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Benefits of Chatbots in Healthcare: 9 Use Cases of Healthcare Chatbots The result is a palpable disconnect during customer interactions, which can lead to potential dissatisfaction. The company provides custom chatbots for sales, marketing, and customer service. Live chat options are also available with these bots,...

15 Fev Intro to Natural Language Understanding NLU

Posted at 11:20h in AI News by Purple 0 Comments

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Definition of Natural-Language Understanding Gartner Information Technology Glossary Developing NLU systems that can effectively understand and integrate information from different modalities presents a complex technical challenge. Many NLU advancements surround languages with abundant training data, leaving low-resource languages disadvantaged. Ensuring linguistic diversity and inclusivity in NLU...