December 12, 2024

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

27 minutes

Generative AI is no longer just a playground for tech enthusiasts. Hosts Daniel Newman and Patrick Moorhead are joined by Amazon Web Services' VP AWS, Database & AI Leadership 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

...more

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By Patrick Moorhead and Daniel Newman

3.9

1111 ratings

December 12, 2024

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

27 minutes

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