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The Comprehensive Guide to NICE CXone’s Latest AI-Driven Release

Expivia

Key Features: Advanced data analysis for real-time insights Predictive modeling to anticipate customer needs Customizable dashboards for a holistic view of service performance Autopilot: The Next-Gen Virtual Agent Autopilot introduces a level of automation and learning capability that redefines the role of virtual agents in customer service.

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What CTOs Should Know Before Implementing Conversational AI in the Contact Center

SmartAction

When used in business, conversational artificial intelligence (AI) supports overall call center operations by providing self-service options, 24/7 availability, and real-time data and analytics – while lowering costs and increasing profits. Our virtual agents can solve 80% to 90% of customer problems.

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Reshaping Healthcare Support: How Automation Answered Patient Care Challenges

SmartAction

Symptoms Triage – Diverts COVID-19 and sickness related calls to SMS and chat channels, where symptoms can be assessed to determine whether escalation is necessary, including a callback from a physician or a scheduled appointment. EHR platforms have also opened up APIs for AI to capture new patients not already in the system.

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7 Automations Financial Service CX Teams Need

SmartAction

Enhanced by AI, virtual agents can now offer warm receptions and open dialogue to customers. By using API’s and generative AI technologies, financial institutions can verify customer identities quickly and securely. Authentication: A Blend of Security and Convenience In the financial world, security is crucial.

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Making Self-Service More Intelligent

DMG Consulting

Intelligent virtual agents (IVAs)—a.k.a. chatbots, voicebots, or just plain bots—can automate many tasks and inquiries previously handled by live agents, reducing operating expenses.

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Software as a Service vs. Managed Software as a Service

SmartAction

Intelligent virtual agents are software that includes artificial intelligence (AI) and machine learning (ML) with natural language processing (NLP). They handle interactions for call centers, doctor’s offices, automotive dealerships, hotels, retail, service providers, and more. Scalability is simple. The Takeaway.

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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

To help you get started, we’ve also released a set of sample one-click deployable Lambda functions ( plugins ) to integrate QnABot with your choice of leading LLM providers, including our own Amazon Bedrock service and APIs from third-party providers, Anthropic and AI21. We expect to add more sample plugins over time.