🔴 How to provide better CX for your AI offering

2024-06-04 · Source: AI Scout Insider · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Emerging Technologies & Innovation · Depth: Novice, short

Summary

Talkdesk announced its AI Trainer at Customer Contact Week Las Vegas 2024, a new tool designed to enhance customer experience (CX) by managing increased call volumes and delivering human-like conversations using machine learning. The tool allows users to design, supervise AI interactions, and incorporates "Guardrails" technology to prevent AI mishaps. Concurrently, Amazon is leveraging AI as a "private investigator" to reduce its carbon footprint, optimize routes, improve warehouse energy efficiency, and identify product defects, aiming for net-zero carbon by 2040. Additionally, South Korean fashion brand ABLY is utilizing Channel Talk's AI platform to proactively identify and route customer queries, significantly speeding up response times and improving satisfaction. Cloudera also acquired Verta.ai to bolster its machine learning product, Cloudera Data Platform, enhancing model versioning, deployment, and reproducibility.

Key takeaway

For CTOs and VPs of Engineering evaluating AI investments, consider how these examples demonstrate AI's immediate impact on both customer experience and operational sustainability. Your teams should explore integrating AI solutions like Talkdesk's AI Trainer for enhanced customer service or Amazon's approach for environmental efficiency, ensuring robust guardrails are in place to maintain brand integrity and service quality.

Key insights

AI is transforming customer experience and operational efficiency across diverse industries by automating and optimizing key processes.

Principles

• AI can manage surging call volumes effectively.
• AI improves sustainability through optimization.
• Proactive AI enhances customer satisfaction.

Method

Talkdesk's AI Trainer enables users to design and supervise AI interactions, incorporating machine learning for human-like conversations and "Guardrails" technology to prevent errors in customer service.

In practice

• Implement AI for call volume management.
• Use AI for carbon footprint reduction.
• Deploy AI for proactive customer service.

Topics

• Customer Experience AI
• AI in Customer Service
• MLOps
• AI for Sustainability
• Predictive Analytics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Product Manager, Business Analyst, General Interest

Related on AIssential

• Closing the Customer Service Gap: How AI Is Redefining Scale, Speed, and Satisfaction - with Philipp Heltewig of NiCE — AI's maturity enables proactive, personalized customer experiences, shifting focus from deflection to resolution quality.
• Companies Are Using AI for Efficiency. They Should Use It to Grow. — Executive focus on AI for efficiency is misguided; AI should drive growth.
• IBM Introduces Industry Solutions for AI Powered Experience Orchestration with Adobe — Orchestrating data, decisions, and delivery with AI enables real-time customer responsiveness, significantly improving business outcomes.
• Operationalizing Customer Service at Scale with Outcome-Driven Agentic AI - with Craig Walker of Dialpad — AI augments human agents, automates routine tasks, and provides real-time coaching to transform customer service.
• How agentic AI will change customer experience design forever — Agentic AI transforms CX by orchestrating outcomes and hyper-personalizing interactions, requiring a composable enterprise foundation.
• The Five Capabilities CX Leaders Need Now — And How To Build Them At CX Forum West — AI amplifies existing CX dysfunctions, necessitating human-led strategic frameworks and governance.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by AI Scout Insider.