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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.


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

      EP10: Agentic Twins and The Foundations of Physical AI | AWS for AI Podcast
      Nov 4 2025

      Join us for a fascinating deep dive with Ali Benfettoum, 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

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      1 h et 1 min
    • EP9: Lucidya : AI For Enhanced Customer Experience and Social Listening | AWS for AI Podcast

      EP9: Lucidya : AI For Enhanced Customer Experience and Social Listening | AWS for AI Podcast
      Oct 2 2025
      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/47yubYqLucidya Website: http://go.aws/4846zeHDr. Khayat's Research: https://scholar.google.com/citations?... Chapters: 00:00 - Introduction02:27 - Lucidya's Origin Story05:20 - AI startup vision before GenAI07:30 - From Saudi Arabia to the world. 08:11 - Lucidya’s Long Term Mission 08:59 - What is Customer Experience ?10:55 - Lucidya’s Value Proposition12:18 - Use Cases : Brand Managment17:20 - 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 Support28:50 - Evolution of Challenges for Building AI Models 30:18 - ASAD - Arabic Sentiment Analysis Data 31:22 - Navigating Ambiguity in Human Communications33:40 - 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 team55:45 - The Future of AI. 58:06 - Closing Remarks
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      59 min
    • EP8: Training Models at Scale | AWS for AI Podcast

      EP8: Training Models at Scale | AWS for AI Podcast
      Sep 2 2025

      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
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      1 h et 4 min
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