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

AWS Machine Learning

The mission of Rich Data Co (RDC) is to broaden access to sustainable credit globally. 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.

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TechSee Launches “Visual Intelligence Platform”

TechSee

Furthermore, businesses can now build their own applications powered by VI’s customized computer vision insights using real-time APIs. SaaS-based insights are embedded into TechSee’s service platform, and accessible for use in third party applications with only an API integration. cial intelligence and big data.

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How SaaS Software Can Help Sync Your Sales & Support Teams

aircall

SaaS software, also known as cloud-based software, has now gone mainstream, making it easy for teams to leverage all the software programs they need to work collaboratively, wherever they are. Let’s look specifically at how SaaS software can help sync your sales and support teams so they work together in perfect harmony.

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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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Designing generative AI workloads for resilience

AWS Machine Learning

In the batch case, there are a couple challenges compared to typical data pipelines. The data sources may be PDF documents on a file system, data from a software as a service (SaaS) system like a CRM tool, or data from an existing wiki or knowledge base. Vector database features built into other services.

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

AWS Machine Learning

This emergent ability in LLMs has compelled software developers to use LLMs as an automation and UX enhancement tool that transforms natural language to a domain-specific language (DSL): system instructions, API requests, code artifacts, and more.

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Improve visibility into Amazon Bedrock usage and performance with Amazon CloudWatch

AWS Machine Learning

With over 35 patents granted across various technology domains, she has a passion for continuous innovation and using data to drive business outcomes. Shelbee is a co-creator and instructor of the Practical Data Science specialization on Coursera. She is also the Co-Director of Women In Big Data (WiBD), Denver chapter.

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