2015, AWS and Database - Data Science Current

Architect a mature generative AI foundation on AWS

Flipboard

MAY 30, 2025

Scaling and load balancing The gateway can handle load balancing across different servers, model instances, or AWS Regions so that applications remain responsive. The AWS Solutions Library offers solution guidance to set up a multi-provider generative AI gateway.

AWS

AWS AI AI Database

Simplify automotive damage processing with Amazon Bedrock and vector databases

AWS Machine Learning Blog

NOVEMBER 14, 2024

This post explores a solution that uses the power of AWS generative AI capabilities like Amazon Bedrock and OpenSearch vector search to perform damage appraisals for insurers, repair shops, and fleet managers. Specific instructions can be found on the AWS Samples repository. On the AWS CloudFormation console, delete the stack.

Database

Database AWS AI AI

Build a scalable AI assistant to help refugees using AWS

AWS Machine Learning Blog

JUNE 3, 2025

This post details our technical implementation using AWS services to create a scalable, multilingual AI assistant system that provides automated assistance while maintaining data security and GDPR compliance. Amazon Titan Embeddings also integrates smoothly with AWS, simplifying tasks like indexing, search, and retrieval.

AWS

AWS AI AI Machine Learning

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

DECEMBER 4, 2024

SageMaker Unified Studio combines various AWS services, including Amazon Bedrock , Amazon SageMaker , Amazon Redshift , Amazon Glue , Amazon Athena , and Amazon Managed Workflows for Apache Airflow (MWAA) , into a comprehensive data and AI development platform. Navigate to the AWS Secrets Manager console and find the secret -api-keys.

AWS

AWS AI AI SQL

Ruby on Rails Audit Complete

Hacker News

JUNE 12, 2025

Thanks to the help of X41 D-Sec , GitLab , and the Sovereign Tech Agency , Rails can provide more secure versions of the tools needed for users to create database-backed web applications following the Model-View-Controller pattern. Ruby on Rails (or “Rails”) is an open source full stack web-application framework. All rights reserved.

AWS

AWS Database

Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning Blog

OCTOBER 23, 2024

Agent Creator is a versatile extension to the SnapLogic platform that is compatible with modern databases, APIs, and even legacy mainframe systems, fostering seamless integration across various data environments. Pre-built templates tailored to various use cases are included, significantly enhancing both employee and customer experiences.

AI

AI AI AWS Database

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

Flipboard

NOVEMBER 24, 2023

In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language. SnapLogic background SnapLogic is an AWS customer on a mission to bring enterprise automation to the world.

Database

Database AWS ETL SQL

Catalog, query, and search audio programs with Amazon Transcribe and Knowledge Bases for Amazon Bedrock

AWS Machine Learning Blog

AUGUST 5, 2024

These systems, such as search engines and databases, typically work by indexing on keywords and fields contained in data files. Amazon Transcribe is an AWS AI service that makes it straightforward to convert speech to text. With Knowledge Bases for Amazon Bedrock, we first set up a vector database on AWS.

AWS

AWS Database Python AI

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. In the first post , we described FL concepts and the FedML framework.

AWS

AWS Analytics Analytics Machine Learning

Amazon's Secret Weapon in Chip Design is Amazon

Hacker News

SEPTEMBER 15, 2024

Amazon Web Services (AWS) got there ahead of most of the competition, when they purchased chip designer Annapurna Labs in 2015 and proceeded to design CPUs, AI accelerators, servers, and data centers as a vertically-integrated operation. Rami Sinno AWS Rami Sinno : Amazon is my first vertically integrated company. on 27 August.

AWS

AWS EDA Machine Learning Machine Learning

Amazon Textract’s new Layout feature introduces efficiencies in general purpose and generative AI document processing tasks

AWS Machine Learning Blog

NOVEMBER 21, 2023

For example, when cataloging financial reports in a document database, extracting and storing the title as a catalog index enables easy retrieval. This is done so that the system can perform a relevance search with the question on the vector database to return chunks of text that are most relevant to the question being asked.

AI

AI AI Database AWS

Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

AWS Machine Learning Blog

APRIL 18, 2023

per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. The post used models pre-trained on data obtained from the SEC EDGAR database.

ML

ML ML Deep Learning Deep Learning

How to Optimize Power BI and Snowflake for Advanced Analytics

phData

MAY 25, 2023

Figure 1: Magic Quadrant Cloud Database Systems Source: Gartner (December 2021) Power BI is a data visualization and analysis tool that is one of the four tools within Microsoft’s Power Platform. Importing data allows you to ingest a copy of the source data into an in-memory database.

Power BI

Power BI Analytics Analytics Azure

Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

AWS Machine Learning Blog

APRIL 18, 2023

per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. per diluted share, for the year ended December 31, 2015. The post used models pre-trained on data obtained from the SEC EDGAR database.

ML

ML ML Deep Learning Deep Learning

Data Science Current

Architect a mature generative AI foundation on AWS

Simplify automotive damage processing with Amazon Bedrock and vector databases

Trending Sources

Build a scalable AI assistant to help refugees using AWS

Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

Ruby on Rails Audit Complete

Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

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

Catalog, query, and search audio programs with Amazon Transcribe and Knowledge Bases for Amazon Bedrock

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

Amazon's Secret Weapon in Chip Design is Amazon

Amazon Textract’s new Layout feature introduces efficiencies in general purpose and generative AI document processing tasks

Financial text generation using a domain-adapted fine-tuned large language model in Amazon SageMaker JumpStart

How to Optimize Power BI and Snowflake for Advanced Analytics

Domain-adaptation Fine-tuning of Foundation Models in Amazon SageMaker JumpStart on Financial data

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