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7 Reasons ChatGPT Alone Can’t Deliver the Customer Service You Need

CCNG

Learning must be ongoing and fast As ChatGPTs FAQ notes , it was trained on vast amounts of data with extensive human oversight and supervision along the way. Moreover, it has limited knowledge of the world after 2021 because of its static data set. It must be transparent and auditable ChatGPT is a black box.

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From Knowledge Base to Virtual Agents: The Shift to AI-powered Self Service

TechSee

Here are the steps to get started: Build the virtual agent around a single strategic objective. Focus on the business priorities and develop the virtual agent’s capabilities to support this objective. Prioritize high-volume, common customer questions. Is it cost reduction?

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TechSee Launches Sophie AI, A MultiSensory Virtual Agent for Customer Service

TechSee

Sophie AI is a blend of advanced technologies including Generative AI , LLM, Computer Vision AI, Augmented Reality, and voice and sentiment analysis packaged into a virtual agent that can see, hear, talk, understand, guide, and instruct both customers and agents. Bringing unlimited scale to service teams.

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5 Ways AI-powered Virtual Agents Improve CX in Utilities

SmartAction

AI-powered virtual agents have come a long way since the days of “Press 1 for billing. This allows AI-powered virtual agents to follow complex dialogue at the rate of normal conversation — yes, even alphanumerical interactions, the most challenging type to capture. Press 2 for enrolling in new energy service.”

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The Insider Secret to Designing Virtual Agents that Surpass Your Competition

Speaker: Brian Morin, CMO & Mark Landry, VP of Product at SmartAction

In a world where top businesses are always battling for the best technology, you have to ensure that your virtual agent's design is the best in the competition. How data + business logic keeps virtual agents in their "swim lane". But how do you do this? Schematics of successful interactions.

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Contact centre cloud migration data layering

Connect

Layering in data lakes determines whether cloud migrations sink or swim. However, a critical enabler of a contact centre operators ability to embrace the advanced digital capabilities that become available in the cloud is how they design their data utilisation, which is best done during the initial stages of the migration.

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The DNA of an Intelligent Virtual Agent

SmartAction

Intelligent virtual agents are zeros and ones that make up a human’s approach to simulate humanity as best as possible. So, let’s plunge deep into the specifics of the DNA that makes an intelligent virtual agent. A few months back, I wrote about human-centered design being the heart of an intelligent virtual agent.

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How a Top 25 Most Trusted Brand Handed Their CX to AI

Speaker: Brian Morin, CMO, SmartAction & Patty Kleinfeldt, Director of Q&E, AAA

One of the most trusted brands in the world, AAA, took the most critical aspect of their Customer Experience and handed it over to an AI-powered virtual agent for omnichannel self-service. The secret of data + business logic to keep virtual agents in their "swim lane".

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5 Best Practices for AI Self-Service Without Compromise

Speaker: Tom Lewis, CEO of SmartAction

This means more and more companies are implementing cloud-based virtual agents that automate conversations traditionally handled by live agents, all of which can be done across several different channels. How to design “lanes” for virtual agents to outperform live agents. Tune in to discover: Where to start.

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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.