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Transforming credit decisions using generative AI with Rich Data Co and AWS

AWS Machine Learning

Its software-as-a-service (SaaS) solution empowers leading banks and lenders with deep customer insights and AI-driven decision-making capabilities. They provide access to external data and APIs or enable specific actions and computation. This post is co-written with Gordon Campbell, Charles Guan, and Hendra Suryanto from RDC.

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Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning

Fine-tune an Amazon Nova model using the Amazon Bedrock API In this section, we provide detailed walkthroughs on fine-tuning and hosting customized Amazon Nova models using Amazon Bedrock. We first provided a detailed walkthrough on how to fine-tune, host, and conduct inference with customized Amazon Nova through the Amazon Bedrock API.

APIs 125
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How SailPoint uses Anthropic’s Claude on Amazon Bedrock to automatically generate TypeScript code for SaaS connectors

AWS Machine Learning

In this post, we highlight how the AWS Generative AI Innovation Center collaborated with SailPoint Technologies to build a generative AI-based coding assistant that uses Anthropic’s Claude Sonnet on Amazon Bedrock to help accelerate the development of software as a service (SaaS) connectors.

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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

It’s a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Mistral AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Index your Atlassian Confluence Cloud contents using the Amazon Q Confluence Cloud connector for Amazon Q Business

AWS Machine Learning

There are two Confluence offerings : Cloud – This is offered as a software as a service (SaaS) product. The information is used to determine which content can be used to construct chat responses for a given user, according the end-user’s document access permissions. On the API tokens page, choose Create API token.

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Empower your business users to extract insights from company documents using Amazon SageMaker Canvas Generative AI

AWS Machine Learning

With RAG, the data external to the FM and used to augment user prompts can come from multiple disparate data sources, such as document repositories, databases, or APIs. Previous to AWS, Dan built and commercialized enterprise SaaS platforms and time-series models used by institutional investors to manage risk and construct optimal portfolios.

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How to Write a Tier 2 Support Job Description + 5 Examples

Help Scout

In our examples below, we’ve chosen to use a SaaS (software as a service) product that helps users build and design websites. Working with users who want to design sites using our API. HTML, CSS, JavaScript, APIs, and debugging tools (i.e., Debugging website issues with web styling and design. React, Angular, etc.),