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Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with AWS

AWS Machine Learning Blog

The intersection of AI and financial analysis presents a compelling opportunity to transform how investment professionals access and use credit intelligence, leading to more efficient decision-making processes and better risk management outcomes. Along the way, it also simplified operations as Octus is an AWS shop more generally.

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning Blog

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! are the sessions dedicated to AWS DeepRacer ! Generative AI is at the heart of the AWS Village this year. You marked your calendars, you booked your hotel, and you even purchased the airfare. And last but not least (and always fun!)

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How Pattern PXM’s Content Brief is driving conversion on ecommerce marketplaces using AI

AWS Machine Learning Blog

Pattern was founded in 2013 and has expanded to over 1,700 team members in 22 global locations, addressing the growing need for specialized ecommerce expertise. In this post, we share how Pattern uses AWS services to process trillions of data points to deliver actionable insights, optimizing product listings across multiple services.

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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

Overall, implementing a modern data architecture and generative AI techniques with AWS is a promising approach for gleaning and disseminating key insights from diverse, expansive data at an enterprise scale. AWS also offers foundation models through Amazon SageMaker JumpStart as Amazon SageMaker endpoints.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning Blog

One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. Instead of dealing with complex technical code, business users and data analysts can ask questions related to data and insights in plain language. Nitin Eusebius is a Sr.

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Monitor embedding drift for LLMs deployed from Amazon SageMaker JumpStart

AWS Machine Learning Blog

Embeddings capture the information content in bodies of text, allowing natural language processing (NLP) models to work with language in a numeric form. You can deploy each of these models through SageMaker JumpStart from the AWS Management Console , Amazon SageMaker Studio , or programmatically.

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Navigating tomorrow: Role of AI and ML in information technology

Dataconomy

Besides, natural language processing (NLP) allows users to gain data insight in a conversational manner, such as through ChatGPT, making data even more accessible. Dropbox also uses AI to cut down on expenses while using cloud services, reducing their reliance on AWS and saving about $75 million.

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