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

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/

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/