Episodes

  • EP7: Next Generation Developers | AWS for AI Podcast
    Aug 19 2025

    Join us as we sit down with AWS Solutions Architect Mirabela Dan for a journey into the world of generative AI for developers. Whether you're a seasoned developer or just getting started, this episode is your gateway to staying ahead in the AI revolution.

    Discover: the game-changing shift from "vibe coding" to spec-driven development and learn about the latest AWS AI tools that can supercharge your productivity. Get real-world insights on how AI is reshaping the developer landscape and plan essential strategies to future-proof your development career

    Don't miss this power-packed episode where we demystify the intersection of AI and modern development practices. Get ready to transform the way you build with AWS's innovative AI solutions!



    Learn more: https://aws.amazon.com/ai/ and https://kiro.dev/

    Connect with Mirabela: https://www.linkedin.com/in/carmenmirabeladan/



    Chapters


    0:00:00 : Introduction and Guest Background

    0:02:48 : Mirabela's Journey at AWS

    0:05:38 : Working with Different Customer Types

    0:08:52 : Shift from Infrastructure to AI

    0:09:35 : Evolution of Developer Role with AI

    0:15:49 : Challenges in Developing with AI

    0:20:06 : AI for Code Generation vs Maintenance

    0:28:33 : Spec-Driven Development Approach

    0:39:30 : Balancing Planning vs Rapid Delivery

    0:42:23 : Kiro - AWS AI-Powered IDE

    0:44:46 : MCP Integration

    0:46:10 : Agent Steering and Hooks

    0:54:43 : Code Transformation with AI

    0:55:57 : Future of Developer Role

    0:59:55 : Consuming AI/Tech Updates

    1:00:17 : Personal Learning Methods

    1:01:30 : Optimism for Future of Development

    1:02:34 : Closing Remarks

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    1 hr and 3 mins
  • EP6: Breaking Language Barriers with AI - The Camb.ai Story | AWS for AI Podcast
    Aug 6 2025

    In this episode of AWS for AI, we sit down with Akshat Prakash, CTO and co-founder of Camb.ai, to explore how this Dubai-based startup is revolutionizing content localization through AI. From making sports accessible in 140+ languages to preserving indigenous cultures with fewer than 600 speakers, discover how they're breaking down global language barriers.


    Witness history as we discuss how Camb.ai partnered with NASCAR to become the first company to livestream a race with real-time AI dubbing. Deep dive into their groundbreaking technical solutions - from preserving context, sarcasm, and emotion in speech, to their innovative approach of separating voice identity from speech prosody, solving critical ethical challenges in voice AI.


    Get exclusive insights into their MARS and BOLI models, their partnership with AWS, and learn why deep problem understanding trumps technical expertise in building successful AI solutions. Whether you're a technologist, content creator, or business leader, this episode offers valuable insights into the future of global communication.


    Learn more about CAMB.AI: https://www.camb.ai/



    Chapters


    0:00:00 : Dubbed Introduction

    00:00:17 : Episode Introduction

    00:02:14 : From Siri to Camb.ai: Akshat's AI Journey

    00:03:52 : Breaking Language Barriers: The Camb.ai Family Story

    00:05:47 : Beyond Translation: Understanding Cultural Context

    00:07:00 : The Story Behind the Name 'CAMB'

    00:08:01 : The Mamba Mentality

    00:10:19 : Dubai to the World: Exporting AI Innovation

    00:12:43 : Making History: First Multi-Language Live Race Stream

    00:14:30 : A "Man on the Moon" Moment in AI

    00:15:15 : Camb.ai Technology Suite and Offerings

    00:19:56 : Creating Value Across All Layers

    00:22:36 : Solving Last Mile Problems in AI Localization

    00:23:59 : Focus on Results: Getting the Job Done

    00:24:38 : Tackling the Hardest Challenge First: Live Sports

    00:28:00 : MARS Architecture: Balancing Prosody, Speed, and Performance.

    00:31:01 : Understanding Auto-Regression Tradeoffs

    00:31:58 : Speaker Entanglement: Core Voice Identity Challenges

    00:33:42 : Ethics in Voice Identity Usage

    00:35:12 : Building with Resource Constraints

    00:36:48 : The Case for Small Language Models

    00:42:21 : Speech-to-Speech vs. Cascading Architecture Approach

    00:46:30 : Preserving Context in Cascading Architecture

    00:49:29 : BOLI: Enhanced Context Through Multi-modality

    00:50:59 : Inclusive AI: Supporting All Languages

    00:53:12 : Managing Dialects vs Languages

    00:53:49 : MBC Partnership: Advancing Arabic Understanding

    00:54:56 : From Sports to Rap: Diverse Use Cases

    00:59:53 : A CTO's AWS Journey

    01:02:38 : Accelerating Innovation with SageMaker Hyperpod

    01:03:58 : The Future of AI: Final Thoughts

    01:07:24 : Closing Remarks

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    1 hr and 8 mins
  • EP5: MBZUAI, CMU : Causal AI, Answering The “Why“ and “What if“ Questions |AWS for AI Podcast
    Jul 2 2025

    Explore the cutting-edge world of causal AI with Professor Kun Zhang in this enlightening episode of the AWS for AI podcast. As a leading researcher from MBZUAI and Carnegie Mellon University, Professor Zhang delves into the fundamentals of causal discovery and inference, revealing how these techniques are reshaping the landscape of artificial intelligence.

    From education to finance, healthcare to climate science, discover how causal AI is revolutionizing diverse fields by answering the crucial "why" and "what if" questions that traditional machine learning often overlooks.


    Professor Zhang shares his vision for a future where AI not only provides convenience and safety but also promotes human intelligence and societal harmony. He offers valuable insights on the ethical considerations of AI development and the role of cloud computing in facilitating large-scale AI research collaborations.


    Whether you're an AI enthusiast, a researcher, or simply curious about the future of technology, this episode provides a fascinating glimpse into the transformative potential of causal AI. Join us for an in-depth discussion that bridges the gap between correlation and causation, paving the way for more interpretable, robust, and ethical AI systems.


    Professor Kun Zhang : https://mbzuai.ac.ae/study/faculty/ku...

    MBZUAI : https://mbzuai.ac.ae/



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    1 hr and 3 mins
  • EP4: How to Succeed with GenAI: From Agents to Enterprise Scale | AWS for AI Podcast
    Jun 18 2025

    In this insightful episode, we're joined by Eduardo Ordax, Principal Specialist for Generative AI Go-to-Market at AWS and recognized as Spain's #1 most influential person in AI, and #14 worldwide.

    Eduardo shares his deep expertise on the latest trends in generative AI, including the evolution of AI agents, the rise of small language models, and AWS's approach to responsible AI innovation. He offers valuable insights into AWS Nova models, the infrastructure powering enterprise AI, and practical perspectives on building AI solutions at scale.


    Whether you're a developer, business leader, or AI enthusiast, this episode provides actionable insights into the current state and future direction of enterprise AI adoption. Eduardo's unique blend of technical knowledge and practical experience offers listeners a comprehensive view of how organizations can successfully implement AI while navigating key challenges around data foundations, model selection, and responsible deployment.


    Learn More :

    Eduardo’s Linkedin Profile: http://go.aws/4ldsLX6

    Nova Models: http://go.aws/4n42nk4

    Amazon Bedrock Agents: http://go.aws/3FY13P3

    Amazon SageMaker HyperPod : http://go.aws/4kL0SWB


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    58 mins
  • EP3: Virtue, understanding human emotions through AI | AWS for AI podcast
    Jun 4 2025

    In this episode of AWS for AI, we explore the cutting-edge world of emotional AI with Moayad Rayan, Partner and Head of Technology at Virtue.

    Discover how Virtue is bridging the gap between humans and machines through their innovative approach to understanding and responding to human emotions. Learn about their proprietary emotional data analysis system, real-world applications in safety and city planning, and how they're using AWS to scale their solution. From reducing human errors by 75% to creating more empathetic AI interactions, this episode reveals the future of human-centered artificial intelligence.



    To learn more about Virtue : virtuedeep.tech

    Ownverse : ownexperiences.com


    Learn more at - https://aws.amazon.com/ai/


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    49 mins
  • EP2: ARCEE.AI small language models, open source and cost efficient AI | AWS for AI podcast
    May 20 2025

    Join us for an enlightening conversation with Julien Simon, VP and Chief Evangelist at ARCEE.AI , as he shares deep insights on building practical and cost-efficient AI solutions. From his extensive experience at AWS, Hugging Face, and now ARCEE.AI, Julien discusses why "small is beautiful" when it comes to language models, revealing how 10B parameter models can now match the performance of much larger 72B models from just months ago. Learn about innovative techniques like model merging, the importance of proper infrastructure choices, and practical advice for organizations starting their AI journey. This episode covers critical topics including:

    • Why small language models are the future of enterprise AI
    • How to optimize costs while maintaining performance
    • The role of CPU vs GPU inference
    • Essential architecture considerations for AI workloads
    • Best practices for building production-ready AI systems

    Whether you're a startup, enterprise, or public sector organization, this episode offers invaluable guidance on building scalable, efficient, and practical AI solutions in today's rapidly evolving landscape.



    Julien Simon Youtube channel : https://www.youtube.com/@juliensimonfr

    to learn more about ARCEE.AI : https://www.arcee.ai/

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    1 hr and 3 mins
  • EP1: AppliedAI’s world’s first large work model: predicting actions not words | AWS for AI podcast
    May 20 2025

    Explore the groundbreaking development of Opus - the world's first large work model. With over two decades of experience across financial services, cybersecurity, and AI, Phillip Kingston , CTO of AppliedAI , shares fascinating insights into how Opus is revolutionizing enterprise workflow automation.

    Learn how Opus differs from traditional language models by predicting actions rather than words, and discover how it leverages a massive knowledge graph containing millions of documented business processes to optimize workflows across organizations. Phillip discusses the platform's unique approach to blending human and AI capabilities, the future of enterprise AI adoption, and how Applied AI is helping regulated industries embrace innovation while maintaining compliance.

    The conversation covers everything from the technical architecture behind Opus to broader philosophical questions about the future of work. Whether you're a technology leader, developer, or business professional interested in enterprise AI transformation, this episode offers valuable perspectives on how AI is reshaping organizational processes and decision-making.

    Join us for an illuminating discussion about the next frontier of AI-powered workflow automation and learn how AppliedAI is helping organizations navigate the transition to more intelligent, efficient operations.


    To learn more about AppliedAI Opus : https://www.opus.com/

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    57 mins