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Intelligent automation (IA) benefits, components, and examples

Zendesk

Examples of AI automation customer service use cases Discover the true potential of AI and automation in customer service What is intelligent automation (IA)? Here are the basics: Artificial intelligence is a machine’s ability to perform cognitive functions typically associated with human minds, according to McKinsey.

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5 Ways to Bridge Your Operational Gaps with Technology as IT Needs Grow

SugarCRM

Implement Artificial Intelligence Implementing Artificial Intelligence (AI) has become a key challenge for organizations looking to create a competitive advantage through their data. Artificial intelligence (AI) can help you gain insights into your business operations and automate repetitive tasks.

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5 Ways to Bridge Your Operational Gaps with Technology as IT Needs Grow

SugarCRM

Implement Artificial Intelligence Implementing Artificial Intelligence (AI) has become a key challenge for organizations looking to create a competitive advantage through their data. Artificial intelligence (AI) can help you gain insights into your business operations and automate repetitive tasks.

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5 Ways to Bridge Your Operational Gaps with Technology as IT Needs Grow

SugarCRM

Implement Artificial Intelligence Implementing Artificial Intelligence (AI) has become a key challenge for organizations looking to create a competitive advantage through their data. Artificial intelligence (AI) can help you gain insights into your business operations and automate repetitive tasks.

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

SugarCRM

The Rise of Artificial Intelligence and Automation AI-powered CRM tools have gained traction, offering features such as predictive analytics, lead scoring, and chatbots. CRM platforms that have embraced AI and automation help teams to streamline processes and workflows.

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25 Tips & Best Practices for Identifying the Best Call Center Services

Callminer

Artificial intelligence (AI) is quickly making its way into many familiar systems, often acting as an augmentation to human ability rather than a replacement for it. Certainly, AI has and continues to be used for contextualizing the massive amounts of data captured by call centers, but it’s starting to go a step further.