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Contenido proporcionado por Daniel Newman and Patrick Moorhead. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Daniel Newman and Patrick Moorhead o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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From Proof of Concept to Production: How AWS re:Invent 2024 Strategic Partners are Shaping Enterprise IT - Six Five On The Road at AWS re:Invent

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Contenido proporcionado por Daniel Newman and Patrick Moorhead. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Daniel Newman and Patrick Moorhead o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Generative AI is no longer just a playground for tech enthusiasts. Hosts Daniel Newman and Patrick Moorhead are joined by Amazon Web Services' Vice President, AI/ML Services & Infrastructure, Baskar Sridharan on this episode of Six Five On The Road at AWS re:Invent. They discuss the journey from proof-of-concept to full-scale production in enterprise IT with a focus on generative AI and strategic partnerships.

Highlights Include:

  • Great Expectations: The transition of generative AI applications from experimental stages to production and the evolving customer expectations of AI & data infrastructure

  • Unified SageMaker: AWS is streamlining the journey from data to AI with their next-gen SageMaker platform, making it easier for businesses to build and deploy GenAI applications

  • Cost Optimization: Model distillation and other innovations are making GenAI more affordable, with significant reductions in training and inference costs

  • Data as a Differentiator: Your data is what makes your GenAI applications unique & AWS is providing powerful tools like Bedrock Knowledge Bases to help customers leverage data effectively

  • Trust and Security: AWS is leading the way in responsible AI with its ISO 42001 certification, ensuring that your GenAI applications are built on a foundation of trust

  • Real-world examples: How enterprise IT is leveraging AWS services to scale their generative AI applications effectively

  continue reading

118 episodios

Artwork
iconCompartir
 
Manage episode 456408979 series 2645868
Contenido proporcionado por Daniel Newman and Patrick Moorhead. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Daniel Newman and Patrick Moorhead o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Generative AI is no longer just a playground for tech enthusiasts. Hosts Daniel Newman and Patrick Moorhead are joined by Amazon Web Services' Vice President, AI/ML Services & Infrastructure, Baskar Sridharan on this episode of Six Five On The Road at AWS re:Invent. They discuss the journey from proof-of-concept to full-scale production in enterprise IT with a focus on generative AI and strategic partnerships.

Highlights Include:

  • Great Expectations: The transition of generative AI applications from experimental stages to production and the evolving customer expectations of AI & data infrastructure

  • Unified SageMaker: AWS is streamlining the journey from data to AI with their next-gen SageMaker platform, making it easier for businesses to build and deploy GenAI applications

  • Cost Optimization: Model distillation and other innovations are making GenAI more affordable, with significant reductions in training and inference costs

  • Data as a Differentiator: Your data is what makes your GenAI applications unique & AWS is providing powerful tools like Bedrock Knowledge Bases to help customers leverage data effectively

  • Trust and Security: AWS is leading the way in responsible AI with its ISO 42001 certification, ensuring that your GenAI applications are built on a foundation of trust

  • Real-world examples: How enterprise IT is leveraging AWS services to scale their generative AI applications effectively

  continue reading

118 episodios

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