AWS For AI

• 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 Introduction00:02:14 : From Siri to Camb.ai: Akshat's AI Journey00:03:52 : Breaking Language Barriers: The Camb.ai Family Story00:05:47 : Beyond Translation: Understanding Cultural Context 00:07:00 : The Story Behind the Name 'CAMB' 00:08:01 : The Mamba Mentality00:10:19 : Dubai to the World: Exporting AI Innovation00:12:43 : Making History: First Multi-Language Live Race Stream00:14:30 : A "Man on the Moon" Moment in AI00:15:15 : 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 Sports00:28:00 : MARS Architecture: Balancing Prosody, Speed, and Performance. 00:31:01 : Understanding Auto-Regression Tradeoffs 00:31:58 : Speaker Entanglement: Core Voice Identity Challenges00:33:42 : Ethics in Voice Identity Usage 00:35:12 : Building with Resource Constraints 00:36:48 : The Case for Small Language Models00:42:21 : Speech-to-Speech vs. Cascading Architecture Approach00:46:30 : Preserving Context in Cascading Architecture00:49:29 : BOLI: Enhanced Context Through Multi-modality00:50:59 : 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 Cases00:59:53 : A CTO's AWS Journey01:02:38 : Accelerating Innovation with SageMaker Hyperpod01:03:58 : The Future of AI: Final Thoughts 01:07:24 : Closing Remarks

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

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

  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/4ldsLX6Nova Models: http://go.aws/4n42nk4Amazon Bedrock Agents: http://go.aws/3FY13P3Amazon SageMaker HyperPod : http://go.aws/4kL0SWB

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• 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.techOwnverse : ownexperiences.comLearn more at - https://aws.amazon.com/ai/

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• 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 AIHow to optimize costs while maintaining performanceThe role of CPU vs GPU inferenceEssential architecture considerations for AI workloadsBest practices for building production-ready AI systemsWhether 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/@juliensimonfrto learn more about ARCEE.AI : https://www.arcee.ai/

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