エピソード

  • AI in Sports
    2025/06/15

    "Just ask Dave send him a text"

    DAZN has partnered with Machina Sports to introduce a groundbreaking multilingual AI sports commentator that transforms the way fans watch and engage with live sports. This AI system goes far beyond chatbots — it delivers real-time analysis, tactical insights, and personalized commentary in over 10 languages, adapting to each viewer’s knowledge level.

    Key Features:

    • Real-time, interactive Q&A (e.g., “How does this strategy compare to previous matches?”)
    • Deep data analysis using decades of match stats and expert insights
    • Localization of language and cultural sports nuances
    • Monetization via merchandise, premium features, and (where legal) betting insights

    Benefits:

    • Enhances understanding for both casual and advanced fans
    • Promotes deeper, more informed fan discussions (e.g., controversial VAR decisions)
    • Increases viewer engagement and retention (up to 30% more time spent)
    • Future plans include AR integration, voice interaction, and personalized broadcasts

    The Big Picture:
    This technology isn’t just enhancing the experience — it’s democratizing sports knowledge, giving every fan access to expert-level insights and analysis. It marks a pivotal shift in sports media, merging AI with human passion for a richer, more interactive viewing experience.


    📣 Get in Touch

    Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.

    • 🌐 Website: ai-voice.ai
    • 📞 Book a Call: Schedule a 30-min chat
    • 🔗 LinkedIn: Dave
    • 💬 Text "Just ask Dave"
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    6 分
  • Automating Invoice Chasing with AI
    2025/06/09

    "Just ask Dave send him a text"

    In this episode of the AI Voice Bot Podcast, host Dave—an expert with over 20 years in voice and AI voice bot technology—dives into how businesses are reclaiming lost time and improving customer service by automating one of the most dreaded tasks: chasing unpaid invoices.

    Businesses spend over 500 hours a year on this repetitive task, draining not only productivity but employee morale. But AI voice bots are stepping in to change that. These aren't spammy robocalls—today’s AI bots are deeply integrated with business systems like Salesforce and HubSpot, capable of natural, context-rich conversations that adapt based on a customer’s tone and history.

    Dave shares a real-world example: a mid-sized accounting firm cut their collections call time by 41% and boosted payment rates by 62% in just two months after adopting an AI voice bot. Staff were redeployed to higher-value tasks, and customer satisfaction actually improved.

    Security is also a key concern, and the bots use encrypted APIs, strict access control, and full compliance with data regulations. Conversations are logged and transcribed with attention to privacy. If a bot senses confusion or frustration, it escalates to a human agent or schedules a callback—seamlessly.

    The episode ends with a look at the future. These bots are democratizing access to enterprise-grade communication tools for small businesses. They’re not here to replace people—but to handle the repetitive stuff so humans can focus on what matters most: building relationships and solving complex problems.

    Key Takeaway:
    AI voice bots are transforming the way businesses handle routine communication, especially invoice collections—saving time, reducing costs, and improving both employee experience and customer satisfaction.

    📣 Get in Touch

    Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.

    • 🌐 Website: ai-voice.ai
    • 📞 Book a Call: Schedule a 30-min chat
    • 🔗 LinkedIn: Dave
    • 💬 Text "Just ask Dave"
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    6 分
  • "Next-Generation Lead Generation: Identifying and Engaging Anonymous Website Visitors"
    2025/06/05

    "Just ask Dave send him a text"

    Most businesses are unknowingly missing out on 98% of their website traffic—potential leads that vanish without ever filling out a form. That’s where a new, game-changing technology steps in: it identifies anonymous website visitors and reveals their full contact details using a combination of IP tracking, device fingerprinting, and verified commercial databases—all while staying compliant with privacy laws like GDPR and CCPA.

    But it doesn’t stop there. By matching each visitor against your Ideal Client Profile (ICP), it prioritizes the most valuable prospects and can trigger automated outreach via email, SMS, or even AI voice calls. The result? Businesses are seeing up to 300% more leads, 50–70% faster follow-up, and a significant jump in qualified opportunities.

    This isn't just about increasing leads—it's about transforming how B2B companies, especially in SaaS, finance, and marketing, approach sales and marketing. With deeper insights, smarter targeting, and real-time engagement, this tech is flipping the script on traditional lead gen and attribution models.

    We're no longer talking about the future of lead generation. It’s already here. The real question is: how quickly will your business adapt?

    📣 Get in Touch

    Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.

    • 🌐 Website: ai-voice.ai
    • 📞 Book a Call: Schedule a 30-min chat
    • 🔗 LinkedIn: Dave
    • 💬 Text "Just ask Dave"
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    6 分
  • Who Builds These Things? A Chat With a Voice Bot Designer
    2025/06/01

    "Just ask Dave send him a text"

    "Who Builds These Things? A Chat With a Voice Bot Designer" – AI Voice Bot Podcast

    In this episode of the AI Voice Bot podcast, hosts Jess and Chris dive into the world of the unsung heroes behind conversational AI — voice bot designers. With voice AI now handling 40% of customer service calls (often without people realizing they're talking to a bot), the question becomes: Who’s actually designing these experiences?

    Enter Dave King, voice bot designer from AI Voice Solutions. Dave gives listeners a behind-the-scenes look into how these bots are built — from researching human behavior and analyzing real conversations to designing emotionally intelligent personalities that can adapt in real time.

    The episode explores:

    • How voice bots are now capable of detecting emotions through vocal tone
    • Why designers build character profiles for each bot, like scriptwriters for film
    • The concept of "graceful degradation" and smooth handoffs to human agents
    • Cultural and regional differences in bot personality design
    • The ethics of transparency in bot-human interactions
    • Real-world success stories, like reducing wait times in healthcare by 40%

    Jess and Chris unpack the fascinating intersection of psychology, technology, and design that makes modern voice bots so effective — and, often, indistinguishable from human agents.

    Whether you’re a tech enthusiast, customer experience leader, or just someone curious about who’s behind the AI voices we hear every day, this episode will change how you think about talking to machines.

    📣 Get in Touch

    Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.

    • 🌐 Website: ai-voice.ai
    • 📞 Book a Call: Schedule a 30-min chat
    • 🔗 LinkedIn: Dave
    • 💬 Text "Just ask Dave"
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    8 分
  • How Real-Time Voice Bots Process Speech on the Fly
    2025/05/28

    "Just ask Dave send him a text"

    "Streaming Inference: How Real-Time Voice Bots Process Speech on the Fly"

    In this episode, Chris and Jess explore how streaming inference is transforming voice bot technology. Unlike traditional systems that wait for a speaker to finish before processing input, streaming inference allows bots to interpret speech as it's being spoken—token by token—mimicking the way humans process conversation. This shift enables faster, more natural interactions, reducing call handling times by 15–30%.

    The hosts discuss how these systems maintain conversation flow through innovations like attention caching, sliding context windows, and real-time barge-in capabilities. These advancements allow bots to adapt instantly when users change direction mid-sentence, improving responsiveness and user experience.

    Streaming inference isn’t just about speed—it’s also enabling bots to detect sentiment and emotional tone with over 85% accuracy. This means AI can adjust its responses based on how someone sounds, not just what they say. As Jess notes, this emotional intelligence is powerful but raises privacy concerns. Chris explains how edge LLM deployments aim to balance personalization with data security by processing sensitive data locally.

    The podcast also highlights measurable business benefits: reduced call durations, lower agent handoffs, and decreased customer frustration. Industries like retail, telecom, healthcare, and finance are already reporting major gains, including a 60% drop in agent transfers.

    Looking ahead, Chris introduces “multimodal streaming”—AI that can simultaneously process voice, facial expressions, and body language, opening the door to truly empathetic machine interactions. This next frontier could revolutionize fields like mental health, telehealth, and customer support by enabling more emotionally aware and context-sensitive conversations.

    Ultimately, the episode paints a compelling picture of a future where voice bots are not just tools, but conversational partners that support, augment, and reflect the nuances of human interaction.

    📣 Get in Touch

    Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.

    • 🌐 Website: ai-voice.ai
    • 📞 Book a Call: Schedule a 30-min chat
    • 🔗 LinkedIn: Dave
    • 💬 Text "Just ask Dave"
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    7 分
  • it's all about the Voice
    2025/05/26

    "Just ask Dave send him a text"

    "The Perfect Voice – Finding the Right Sonic Identity for Your Brand"

    In this episode, Chris and Jess explore the surprising power of voice in shaping brand perception — and why companies are investing millions in getting it exactly right. They reveal how we form opinions about a voice within just 0.2 seconds and how that instant judgment can make or break trust with a brand.

    The conversation dives into the science behind designing the perfect AI voice, touching on key elements like warmth and competence, cultural preferences, and real-time emotional adaptation. Listeners will learn how companies are customizing voices to suit specific markets and even tailoring tone dynamically to match the caller’s mood.

    Chris and Jess also discuss ethical considerations, such as bias, transparency, and accessibility, and how the future of brand interaction is rapidly shifting toward voice-first experiences.

    The key takeaway? Voice is no longer just a technical feature — it’s a critical part of brand identity. The companies that get it right won’t just sound better — they’ll connect better.

    📣 Get in Touch

    Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.


    • 🌐 Website: ai-voice.ai
    • 📞 Book a Call: Schedule a 30-min chat
    • 🔗 LinkedIn: Dave
    • 💬 Text "Just ask Dave"
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    7 分
  • compliance
    2025/05/23

    "Just ask Dave send him a text"

    Podcast Summary: AI Voice Bot Podcast (Powered by Dave at AI Voice Solutions)

    In this episode, Dave explores the growing impact of voice AI in highly regulated industries like finance, healthcare, and law — where over 1 billion customer interactions are processed daily by voice AI systems. Despite this massive scale, 87% of companies struggle to stay fully compliant.

    Dave dives into the complex compliance landscape, highlighting five key pillars organizations must adopt to succeed:

    1. Data Privacy
    2. Transparency
    3. Auditability
    4. Bias Mitigation
    5. Human Oversight

    He discusses how financial institutions are using voice AI for fraud detection and real-time monitoring, while simultaneously juggling multiple regulatory frameworks like GDPR, HIPAA, and the new EU AI Act. Mistakes are costly — up to $10 million per compliance violation.

    In healthcare, Dave shares how voice interactions are encrypted, audited, and monitored in real time, with AI and human supervisors working side by side. Voice verification now reaches 99.9% accuracy using over 100 vocal characteristics, all while maintaining strict compliance.

    To stay both efficient and compliant, these industries are implementing automated compliance frameworks and human-in-the-loop systems — allowing routine tasks to be automated while flagging anomalies for human review.

    Dave also touches on bias mitigation, where AI is tested across millions of interactions and often shows less bias than human agents when properly designed.

    The big takeaway? Success with AI voice bots isn’t just about advanced technology — it's about building robust governance frameworks from the start. Companies that invest early in compliance see up to 300% better results than those that tack it on later.

    Dave concludes by emphasizing that regulated industries are setting the standard for future voice AI deployment across all sectors — proving that rapid innovation and strong compliance can coexist.

    Final message: In the evolving world of voice AI, it's not just about what you can do — it's about doing it right, securely, and responsibly.

    📣 Get in Touch

    Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.

    • 🌐 Website: ai-voice.ai
    • 📞 Book a Call: Schedule a 30-min chat
    • 🔗 LinkedIn: Dave
    • 💬 Text "Just ask Dave"
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    6 分
  • More time Less Stress
    2025/05/19

    "Just ask Dave send him a text"

    n this episode, We dive into how AI voice bots are transforming small business operations—saving time, reducing stress, and improving customer experience.

    We hear the real story of Emma, a car repair shop owner who was overwhelmed by nonstop calls, missed bookings, and staff burnout. By introducing an AI voice bot named Eva, her business saw a dramatic shift:

    • 85% of calls were handled by the bot within two weeks.
    • It scheduled appointments, answered FAQs, sent reminders, and even escalated urgent issues.
    • The team saved two full workweeks per month, reduced no-shows, and boosted morale.

    The key takeaway?
    AI voice bots don't replace human interaction—they enhance it, freeing staff to focus on complex tasks and improving the quality of service.

    Dave closes the episode by exploring future possibilities in industries like healthcare, real estate, and hospitality, where voice automation could deliver similar game-changing results.

    Subscribe, share, and stay curious—just ask Dave.

    📣 Get in Touch

    Got a question about voice bots? Want to collaborate or see how they can work for your business? I’d love to connect.

    • 🌐 Website: ai-voice.ai
    • 📞 Book a Call: Schedule a 30-min chat
    • 🔗 LinkedIn: Dave
    • 💬 Text "Just ask Dave"


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    6 分