In this episode of the Eye on AI podcast, Craig Smith sits down with Bill Moore BCGX to explore the development of Gene, an AI-powered co-host transforming the way we engage with conversational AI.

Bill walks us through the journey of creating Gene, a real-time conversational agent built to interact seamlessly with human hosts. He shares insights into the technical challenges they faced, from improving latency to expanding context windows, and how Speechmatics' cutting-edge speech-to-text technology helped achieve over 90% accuracy in real-time.

We dive deep into the ethics of AI, particularly gender representation, as the conversation touches on why assigning gender to AI assistants can reinforce outdated stereotypes. Gene, as a gender-neutral conversational AI, challenges these norms, providing a clear distinction between human-like interaction and AI-driven dialogue.

Join us for an in-depth discussion on the future of AI in media, the balance between human creativity and AI’s analytical power, and the ethical considerations every company should be mindful of when integrating AI into their operations.

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Introduction to Gene: BCG's Conversational AI

(02:19) Bill Moore’s Background

(04:22) Early Challenges in Building Real-Time AI

(07:20) Technical Aspects: Prompting and Configuring Gene

(09:28) The Use of Vector Databases and Sparse Priming

(12:01) How Gene Handles Long Conversations

(14:46) Building Conversational AI

(19:07) Gene Introduces Itself: AI as a Podcast Co-Host

(22:00) The Ethics of AI

(29:35) Should AI Have a Physical Representation?

(32:05) AI and Children: Nurturing Healthy Interactions

(36:16) Adoption of Conversational AI in Businesses

(38:11) Ethical Considerations for AI in the Future

This episode is sponsored by Shopify.

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In this episode of the Eye on AI podcast, Craig Smith sits down with Michael Martin, CEO of RapidSOS, to explore how AI and connected devices are aiding emergency response and public safety.

With billions of sensor feeds from over 540 million devices—including wearables, vehicles, and security systems—RapidSOS integrates life-saving data to provide real-time support for 911 and first responders across the U.S. and beyond. Michael shares how their platform is reducing response times, improving accuracy, and transforming the way emergencies are handled by public safety agencies.

We dive deep into RapidSOS’s AI-powered platform, which fuses human and machine intelligence to deliver faster, more effective emergency responses. Michael also discusses the challenges of scaling such technology globally, the role of AI in predictive emergency management, and the importance of integrating these solutions into legacy systems used by first responders.

Whether it’s saving lives through faster 911 responses, preventing emergencies before they happen, or leveraging AI to enhance public safety, this episode offers a compelling look at the future of emergency services. Join us to uncover how technology is reshaping public safety and emergency response on a global scale.

Don’t forget to like, subscribe, and hit the notification bell for more cutting-edge discussions on AI, emergency services, and technology innovation!

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI

(00:00) Preview

(01:58) RapidSOS and Michael Martin’s Journey

(06:39) Integration w/ Wearable Devices and Home Systems

(11:59) RapidSOS’s Use Cases

(23:12) RapidSOS’ Foundational Models

(31:31) How RapidSOS Handles Data

(36:11) How RapidSOS Aids Public Safety

(49:56) Is RapidSOS Integrated into Hospitals?

(53:00) EmergencyProfile.org Role In Helping First Responders

(55:36) The Future of Public Safety with AI and RapidSOS

This episode is sponsored by Oracle. AI is revolutionizing industries, but needs power without breaking the bank. Enter Oracle Cloud Infrastructure (OCI): the one-stop platform for all your AI needs, with 4-8x the bandwidth of other clouds. Train AI models faster and at half the cost. Be ahead like Uber and Cohere.

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In this episode of the Eye on AI podcast, Craig Smith sits down with Noa Srebrnik from Citrusx to explore how AI is transforming risk management and compliance in high-risk industries like finance and insurance.

With a background spanning regulation, risk, and technology, Noa guides us through Citrusx’s innovative approach to enabling organizations to leverage AI responsibly while adhering to complex regulatory environments.

We dive deep into Citrusx’s AI platform, designed to validate, monitor, and explain AI models, ensuring transparency, fairness, and compliance. Noa explains how their proprietary synthetic data technology identifies hidden risks, allowing companies to confidently scale AI solutions across different use cases without compromising governance.

We also discuss the evolving regulatory landscape, including the challenges of navigating fragmented AI regulations in the U.S. and the EU AI Act’s influence on high-risk sectors.

Join us as we uncover how AI can drive innovation while maintaining regulatory accountability and why risk management is crucial for the future of AI in finance and beyond.

Don’t forget to like, subscribe, and hit the notification bell for more in-depth discussions on AI, regulation, and risk management!

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Craig Smith Twitter: https://twitter.com/craigss

Eye on A.I. Twitter: https://twitter.com/EyeOn_AI