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.

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

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/

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

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/

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

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/