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Description:
With the expectations surrounding ‘AI’ at an all-time high, many customer service organizations turn to interaction analytics for actionable insights and trend detection. They expect predictive recommendations to enhance CX, agent performance, and other business outcomes.
Join Opus Research and [24]7.ai in a live interactive session exploring how a new integrated approach—Interaction Analytics as a Service (IAaaS)—delivers immediate insights that impact agent performance, service quality, compliance efforts, and fraud detection, in a usage-based model.
You’ll hear real-world use cases and how enterprises find value:
- Mining 100% of interactions results in measurable performance improvements
- Stratifying interaction data to address specific use cases and customer intents
- Sequencing extracted insights to address factors like 'sentiment shift'
