Remove Analytics Remove Best practices Remove Healthcare Remove Personalization
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Healthcare BPO Services: Navigating Success in Healthcare Outsourcing

Global Response

The healthcare industry requires the highest level of precision and customer service. Patients need support as they navigate personal health issues and complex insurance coverage. That’s where healthcare BPO services come in. What are healthcare BPO services? It’s a win-win.

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Call Center Optimization: Big Data Analytics

Global Response

Call centers are increasingly turning to big data analytics as a pivotal tool for optimization. Today, we’ll explore the cutting-edge techniques and strategies at the intersection of big data analytics and call center operations. Understanding big data analytics in call centers First off, what is big data analytics?

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Best Tools and Practices for a Healthcare Call Center

Calltools

Managing a successful healthcare contact center is essential to providing an optimal patient experience. If you own or manage a healthcare call center, you need to use the right tools and strategies to help your call center achieve success in the healthcare industry.

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Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Customer context Philips uses AI in various domains, such as imaging, diagnostics, therapy, personal health, and connected care.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. The personalization of LLM applications can be achieved by incorporating up-to-date user information, which typically involves integrating several components.

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Call Center Training: Empowering Agents for Success

Vistio

It empowers agents by enhancing their abilities and bridging the gap between theoretical knowledge and practical application. ServiceSim’s AI capabilities provide agents with personalized feedback and guidance, allowing them to identify areas for improvement and grow professionally.