Emotion AI Drives Revenue, Security, and Trust Across Industries
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Emotion AI analyzes non-verbal cues like tone and pitch to assess behaviors, emotions, and intent in real-time during conversations. This allows for better situational awareness and decision-making.
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Call centers use emotion AI to match customers with the best agents and provide feedback to improve agent communication skills and customer satisfaction. This has increased revenue recovery by 20%.
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Banks employ emotion AI to elevate customer experience and enhance debt repayment. One bank saw a 20% increase in active revenue recovery applications, equaling $7.5M in additional restructured debt.
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In intelligence and defense, emotion AI supports surveillance and decision-making by analyzing data and recognizing patterns. It builds cognitive models to understand situations and remove human biases.
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Media and social platforms can use emotion AI to detect synthetic voices and variances in speeches to identify deepfakes ahead of the 2024 election.