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AWS For AI

AWS For AI

By: AWS For AI
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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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Economics
Episodes
  • 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

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