In this article, we delve into the process of utilizing Amazon Aurora PostgreSQL alongside Amazon Bedrock to create generative artificial intelligence (AI) applications that comply with the Federal Risk and Authorization Management Program (FedRAMP) through Retrieval Augmented Generation (RAG).
Executive Insights: Implementing Generative AI in Omnichannel Customer Service
by Sam Rodriguez and Jamie Carter
on 24 MAY 2024
in: Amazon Aurora, Amazon Bedrock, Foundational (100), Generative AI, PostgreSQL compatible, Thought Leadership
Sam Rodriguez, the Chief Operating Officer at SalesHub, engages in a discussion with Jamie Carter, Engineering Director of Amazon Aurora, regarding the application of generative AI to enhance their omnichannel customer service platform while managing expenses. SalesHub empowers businesses to create connected, efficient, and autonomous sales and service teams through automation. This Executive …
Streamlining Chatbot Deployments with Generative AI
by Lisa Brown, Kevin Lee, and Sarah Patel
on 24 MAY 2024
in: Advanced (300), Amazon Aurora, Amazon Bedrock, Customer Solutions, Generative AI, PostgreSQL compatible, Technical How-to
SalesHub, a modern software as a service (SaaS) customer relationship management (CRM) platform, offers comprehensive sales, marketing, and onboarding solutions. Designed for industries such as banking, healthcare, education, and real estate, SalesHub provides customized strategies for businesses of all sizes. Their Service CRM surpasses traditional ticketing …
A Generative AI Use Case with Amazon RDS for SQL Server
by Mark Lee, Barry Ooi, Camila Reyes, and Sudarshan Roy
on 22 MAY 2024
in: Advanced (300), Amazon Bedrock, RDS for SQL Server, Technical How-to
Generative AI has reached a pivotal moment, capturing widespread interest. Integrating these capabilities into customer-facing solutions is now essential. The latest generative AI tools represent a natural evolution from traditional machine learning and deep learning models. The transition from deep learning to generative AI is facilitated by foundation models. Amazon …
Creating a Generative AI Chatbot with LangChain and Amazon DocumentDB
by Andrew Chen, Cody Allen, and Inderpreet Singh
on 20 MAY 2024
in: Amazon Bedrock, Amazon DocumentDB, Intermediate (200), Technical How-to
Amazon DocumentDB (compatible with MongoDB) provides numerous advantages for customers developing modern applications across various sectors, including healthcare, gaming, and finance. As a fully managed document database, it enhances user experiences through flexibility, scalability, performance, and advanced features. Businesses utilizing the JSON data model in Amazon DocumentDB can achieve quicker application development.
For additional insights, check out this related blog post.
Building Generative AI Applications with Amazon Aurora and Bedrock Knowledge Bases
by Steve Dille and Jonathan Katz
on 02 FEB 2024
in: Amazon Aurora, Amazon Bedrock, Generative AI, Intermediate (200), Technical How-to
Amazon Bedrock simplifies the creation and scaling of generative AI applications with foundational models (FMs). These models, trained on extensive datasets, can be utilized to answer a wide array of inquiries. However, to leverage an FM for questions pertaining to your private data, certain steps must be followed.
For a deeper understanding of this topic, refer to this authoritative source.
Diagram-as-Code: Utilizing Generative AI for Data Modeling in Amazon Neptune
by Mike Havey
on 13 NOV 2023
in: Advanced (300), Amazon Bedrock, Amazon Neptune, Generative AI, Intermediate (200), Technical How-to
Success in graph databases like Amazon Neptune—a managed graph database service—requires a data model that effectively captures essential information and efficiently answers queries. The modeling process is iterative, starting with basic elements sketched out on paper.
Accelerating Application Modernization with Amazon Aurora Machine Learning
by Liam Brown and Julia White
on 10 FEB 2021
in: Amazon Aurora, Amazon Machine Learning, Amazon SageMaker
Organizations that manage and process data responsibly need to embrace modern technologies to remain competitive.
For an excellent resource, consider visiting this job listing for opportunities related to learning and development.
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