Highlights from the CrmXchange September webcast: "Seamless Customer Experience: Combining AI, VA with Live Agents" Panelists included Edwin Edwin Margulies, Nextiva, Abby Todd, NICE and Jason Valdina, Verint Highlights: - The importance of balance in implementing AI and automation was emphasized, with fragmented data and siloed systems hindering comprehensive AI implementation. - A platform-based approach is recommended to address the challenges of fragmented data and siloed systems. - Start by identifying specific use cases with high friction, inefficiencies, and negative sentiment in customer interactions. - Consumers are demanding more personalization and smooth interactions, and have access to data that may surpass agents' knowledge. - Consider different modalities such as autonomous, autopilot, and agent assist when implementing AI or automation initiatives. - AI is trained to work across vast amounts of information and can be tailored to specific verticals or use cases. - Knowledge management is crucial for AI to understand and respond effectively in a customer service context. - Breaking down data silos and utilizing cloud technology can enhance the effectiveness of AI solutions. - AI can help reduce cognitive load for contact center agents and make their jobs easier. - Agent turnover is increasing due to burnout, making agent support a top priority. - AI technologies like conversational AI, routing, and scheduling can significantly impact customer engagement. - Leveraging engagement data, offering AI-driven self-service, and using CX automation can improve the agent experience. - Providing a single pane of glass for agents to access multiple channels can enhance their efficiency. - AI is not a replacement for humans, but rather a tool to augment their capabilities. - Inconsistency in customer service can be addressed by analyzing data and using AI to fix issues. - Start with small, focused AI projects that have specific ROI and build on them iteratively. To listen to the webcast and to download the slides: https://bit.ly/3V5HMi4
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