AWS For AI

About AWS For AI

Decoding The Future of Artificial Intelligence with AWS: Explore the frontiers of artificial intelligence with AWS For AI, your insider guide to the technologies reshaping our world. Each episode brings you face-to-face with the brilliant minds behind groundbreaking AI innovations from pioneering researchers, to executives transforming businesses with generative AI.

Publisher

AWS For AI

Category

business · technology

Language

en

Explicit

No

First episode

20 May 2025

Latest episode

21 Oct 2026

Latest episodes

10 of 12 episodes have a transcript.

1. 

   21 Oct 2026TRANSCRIPT

   EP12 : Forge & Perform AI Model Customization at Scale | AWS for AI Podcast | Amazon Web Services

   Host Hamza Mimi interviews Oliver Gracer of Perform AI and Karan Pandharkar of AWS about customizing AI models for improved accuracy, cost, and speed.

2. 

   23 Jan 2026TRANSCRIPT

   EP11: BAYZAT Scaling enterprise AI for the workplace | AWS for AI Podcast

   Join us for a fascinating deep dive with Ahmed Abdelrahman, Chief Technology Officer at Bayzat, as we explore how AI is revolutionizing human resources and workforce management for over 500,000 employees across the Middle East. Ahmed brings over 20 years of expertise in software development and AI, sharing candid insights on how AI is transforming HR from administrative burden to strategic enabler—and what it means for the future of work. Discover how Bayzat's AI-powered platform is changing the employee experience through instant multilingual support, intelligent policy assistance, and self-service capabilities that free HR professionals to focus on what matters most: people. Learn about the real impact on HR teams—from those worried about job security to technical recruiters who say "this is heaven for me"—and how the shift from 90% administrative work to strategic relationship building is reshaping the profession. Get insider insights on implementing enterprise AI with proper security, achieving 54% accuracy in AI reporting versus 36% for off-the-shelf solutions, and building custom applications in days instead of months. Ahmed shares practical lessons on cost optimization, multi-provider resilience, and the three pillars of AI-enabled organizations: autonomy, psychological safety, and growth mindset. Don't miss this exploration of AI's real-world impact on HR, where we uncover how technology is enhancing—not replacing—the human elements that make great workplaces thrive. Learn more about Bayzat: http://bayzat.com/ Connect with Ahmed : https://www.linkedin.com/in/aabdelrahmanm/ 00:00:00 : Episode Introduction 00:02:05 : Ahmed's Journey into AI: From Egypt to CTO 00:07:19 : Bayzat's Mission: World-Class Work-Life Platform 00:11:53 : Inception story to market fit. 00:13:41 : Early AI Experiments : LLM Context Provider 00:17:46 : From PoC to Customer-Facing AI Products 00:19:58 : AI Reporting: Text-to-SQL for Enterprise Insights 00:24:08 : Bayzat Microapps: AI-Generated Custom Applications 00:30:56 : Personalized Agents Marketplace 00:32:35 : Managing Agents at Scale. 00:36:43 : Building AI Resiliency: Multi-Vendor Strategy 00:38:32 : Models lifecycle managment 00:39:46 : Evaluation Strategies: LLM-as-Judge 00:42:50 : Selecting The Right Model 00:45:32 : How to Build AI Ready Organizations 00:49:11 : Team Autonomy 00:51:34 : HR Professionals and AI 00:54:05 : AI impact on the workplace 00:56:05 : The Value of Building an AWS Partnership 00:58:29 : The future of AI is Agentic 01:02:32 : Closing Remarks and Resources

3. 

   4 Nov 2025TRANSCRIPT

   EP10: Agentic Twins and The Foundations of Physical AI | AWS for AI Podcast

   Join us for a fascinating deep dive with Ali Benfattoum, AWS Principal Product Manager and Physical AI expert, as we explore the revolutionary world of agentic twins and the foundations of physical AI. Ali brings over 15 years of expertise in IoT, Applied AI, and Digital Twins, including his groundbreaking work as creator of the open-source Garnet Framework. Discover how AI is evolving beyond digital realms into physical applications, transforming everything from smart cities to industrial systems. Learn about the intersection of IoT and AI, the power of knowledge graphs in creating context-aware solutions, and how digital twins are enabling intelligent, responsive environments across major cities and global enterprises. Get insider insights on semantic data modeling, context management strategies, and the practical implementation of living digital twins. Ali shares his unique perspective bridging mathematics, physics, and cutting-edge AI technology, offering a comprehensive view of where Physical AI is heading and how it's reshaping our interaction with the physical world. Don't miss this technical exploration where we uncover real-world applications of agentic systems and the infrastructure powering the next generation of intelligent physical environments. Garnet Framework: https://garnet-framework.tech/ Learn more: https://aws.amazon.com/iot/ Chapters: 0:00:00 : Episode Introduction 0:02:37 : Ali's Journey to Physical AI and IoT 0:05:35 : From smart territory framework to physical AI 0:08:00 : The Garnet Framework : From data silos to insights 0:12:02 : Building with the garnet framework 0:14:58 : AI Agents as Data Consumers 0:18:02 : Knowledge graphs for true context aware AI 0:22:12 : NGSI-LD specification 0:24:20 : Sustainable AI foundations for the future 0:26:57 : Physical AI : perceive reason act in real world 0:29:35 : Use Cases with the most impact 0:32:48 : Maximizing ROI of using physical AI. 0:39:09 : Next generation of automated industry 0:40:08 : Panama Success Stories 0:42:30 : City of Madrid Success Story 0:43:43 : From digital twins to agentic twins 0:47:06 : Training world models , nvidia omniverse 0:50:47 : Build today for tomorrow’s innovations on AWS 0:55:15 : Future Trends in Agentic Systems 0:58:46 : Final Thoughts 1:00:02 : Closing Remarks

4. 

   2 Oct 2025TRANSCRIPT

   EP9: Lucidya : AI For Enhanced Customer Experience and Social Listening | AWS for AI Podcast

   Join us for an in-depth conversation with Dr. Zuhair Khayat, CTO and co-founder of Lucidya, a groundbreaking AI company revolutionizing customer experience in the Middle East. From his journey through academia at KAUST to pioneering Arabic language AI solutions, Dr. Khayat shares invaluable insights on building technology for Arabic markets. Discover how Lucidya is tackling unique challenges in Arabic language processing, managing customer experience across dialects, and leveraging AI for brand management in the MENA region. Learn how Lucidya is transforming social listening and customer intelligence through advanced AI. From sophisticated sentiment analysis to real-time brand monitoring across multiple dialects, discover the future of customer experience management. Learn more: http://go.aws/47yubYq Lucidya Website: http://go.aws/4846zeH Dr. Khayat's Research: https://scholar.google.com/citations?... Chapters: 00:00 - Introduction 02:27 - Lucidya's Origin Story 05:20 - AI startup vision before GenAI 07:30 - From Saudi Arabia to the world. 08:11 - Lucidya’s Long Term Mission 08:59 - What is Customer Experience ? 10:55 - Lucidya’s Value Proposition 12:18 - Use Cases : Brand Managment 17:20 - Use Cases : Customer Support 19:14 - Use Cases : Market Research 20:43 - Use Cases : Marketing Optimization 21:52 - Building Products in GenAI Era 25:58 - Keeping up with the AI innovations 26:45 - Product bundles from Research to Support 28:50 - Evolution of Challenges for Building AI Models 30:18 - ASAD - Arabic Sentiment Analysis Data 31:22 - Navigating Ambiguity in Human Communications 33:40 - Managing Biases in Data with agents 38:02 - Arabic Dialects Support 40:41 - Split Learning, Collaborative Training on Private Data on the Cloud. 47:10 - Opportunities for Split Learning in Regulated Industries 49:35 - U shape Learning as a Collaborative Framework for Privacy 50:12 - a CTO’s advise for AI startups 53:20 - Choosing the right architecture on AWS for your team 55:45 - The Future of AI. 58:06 - Closing Remarks

5. 

   2 Sept 2025TRANSCRIPT

   EP8: Training Models at Scale | AWS for AI Podcast

   Join us for an enlightening conversation with Anton Alexander, AWS's Senior Specialist for Worldwide Foundation Models, as we delve into the complexities of training and scaling large foundation models. Anton brings his unique expertise from working with the world's top model builders, along with his fascinating journey from Trinidad and Tobago to becoming a leading AI infrastructure expert. Discover practical insights on managing massive GPU clusters, optimizing distributed training, and handling the critical challenges of model development at scale. Learn about cutting-edge solutions in GPU failure detection, checkpointing strategies, and the evolution of inference workloads. Get an insider's perspective on emerging trends like GRPO, visual LLMs, and the future of AI model development. Don't miss this technical deep dive where we explore real-world solutions for building and deploying foundational AI models, featuring discussions on everything from low-level infrastructure optimization to high-level AI development strategies. Learn more: http://go.aws/47yubYq Amazon SageMaker HyperPod : https://aws.amazon.com/fr/sagemaker/ai/hyperpod/ The Llama 3 Herd of Models paper : https://arxiv.org/abs/2407.21783 Chapters: 00:00:00 : Introduction and Guest Background 00:01:18 : Anton Journey from Caribbean to AI 00:05:52 : Mathematics in AI 00:07:20 : Large Model Training Challenges 00:09:54 : GPU failures : Lama Herd of models 00:13:40 : Grey failures 00:15:05 : Model training trends 00:17:40 : Managing Mixture of Experts Models 00:21:50 : Estimate how many GPUs you need. 00:25:12 : Monitoring loss function 00:27:08 : Crashing trainings 00:28:10 : SageMaker Hyperpod story 00:32:15 : How we automate managing grey failures 00:37:28 : which metrics to optimize for 00:40:23 : Checkpointing Strategies 00:44:48 : USE Utilization, Saturation, Errors 00:50:11 : SageMaker Hyperpod for Inferencing 00:54:58 : Resiliency in Training vs Inferencing workloads 00:56:44 : NVIDIA NeMo Ecosystem and Agents 00:59:49 : Future Trends in AI 01:03:17 : Closing Thoughts

6. 

   19 Aug 2025TRANSCRIPT

   EP7: Next Generation Developers | AWS for AI Podcast

   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

7. 

   6 Aug 2025TRANSCRIPT

   EP6: Breaking Language Barriers with AI - The Camb.ai Story | AWS for AI Podcast

   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

8. 

   2 Jul 2025TRANSCRIPT

   EP5: MBZUAI, CMU : Causal AI, Answering The “Why“ and “What if“ Questions |AWS for AI Podcast

   Industry experts from MBZUAI and CMU explore causal AI, focusing on answering "why" and "what if" questions, in this interview episode.

9. 

   18 Jun 2025TRANSCRIPT

   EP4: How to Succeed with GenAI: From Agents to Enterprise Scale | AWS for AI Podcast

   Eduardo Ordax discusses the essential success factors for organizations implementing generative AI, offering insights for effective adoption and scalability in this interview.

10. 

    4 Jun 2025TRANSCRIPT

    EP3: Virtue, understanding human emotions through AI | AWS for AI podcast

    Virtue develops emotional AI models using the theory of mind, offering insights into understanding human emotions better; this is not an interview.

11. 

    20 May 2025

    ARCEE.AI small language models, open source and cost efficient AI | AWS for AI podcast

    Julien Simon explores small language models, open source options, and cost-efficient AI strategies on the AWS for AI podcast, offering insights into accessible AI implementation.

12. 

    20 May 2025

    AppliedAI's world’s first large work model: predicting actions instead of words | AWS for AI Podcast

    Philip Kingston, CTO of Applied AI, discusses Opus, the first large work model, and its impact on automating enterprise workflows in this interview.

Inside a recent episode

EP12 : Forge & Perform AI Model Customization at Scale | AWS for AI Podcast | Amazon Web Services

Published 21 Oct 2026 · Transcript excerpt

[…] Then the third thing is speed. There are use cases where yes, large models are great, they think, they give you the output that they need, But not every use case can wait for that kind of an output to come through. For the tasks at hand, for the use cases at hand, you need rapid response times. Customization is a way to get that kind of intelligence into a smaller model so that instead of a few seconds, you can get responses within a few hundred milliseconds. So these are essentially the three aspects that we see that customers deploy to something for production or consider something for production. […]

Who has been a guest on AWS For AI

Names identified in recent episode analyses. Showing up to five guests.

• Oliver Gracer
• Karan Pandharkar
• MBZUAI
• CMU
• Eduardo Ordax

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

YouTube views

2,451,775

Score snapshot 15 Sept 2025

Spotify

5.0 / 5

1 ratings

Podcast Authority Score: 35 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

21

Social presence

0

YouTube

93

Engagement

32

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