AI Can Finally Hear What You Actually Mean. What this unlocks

Your company’s goldmine? All those meetings and call recordings. It’s the fuel that AI needs. But here’s the big letdown: those call transcripts only pick up the words. Not what they mean. And the difference? Well…. That can make all the difference. But some new technology might change what’s possible. Join us as we talk about it. AI Can Finally Hear What You Actually Mean. What this unlocks — An Everyday AI chat with Jordan Wilson and Modulate’s Mike Pappas.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Modulate Velma Voice Native AI Model OverviewTone, Emotion, and Intent in Voice AIDifferentiating Text vs. True Voice UnderstandingReal-World Voice AI Use Cases in Fraud DetectionSynthetic Voice and Deepfake Detection TechniquesEnsemble Listening Model (ELM) Technology ExplainedVoice AI for Customer Service and SupportTrust, Compliance, and Observability in Voice AI AgentsCost and Scalability Challenges for Voice AIFuture Impact of Voice AI on Customer RelationshipsTimestamps:00:00 "Modulate: AI That Understands Tone"06:15 "AI Use Cases Beyond Gaming"07:13 "Detecting Abuse and Fraud"13:19 Dynamic Model Orchestration Innovation16:22 "Context-Aware AI for Conversations"17:44 "Voice AI Transforming Customer Service"22:49 AI Accountability and Compliance Challenges25:36 AI, Customers, and Brand Trust28:05 "Enhancing Communication Through AI"Keywords: Voice AI, voice native AI, voice understanding, tone detection AI, intent detection, emotional AI, prosody analysis, real-time fraud detection, synthetic voice detection, AI guardrails, deepfake detection, customer support AI, call analysis, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)