Flipboard

DECEMBER 6, 2023

To meet the growing demand for efficient and dynamic data retrieval, Q4 aimed to create a chatbot Q&A tool that would provide an intuitive and straightforward method for IROs to access the necessary information they need in a user-friendly format. The generated query is then run against the database to fetch the relevant context.

SQL 166

SQL Database AWS Machine Learning 166

AWS Machine Learning Blog

FEBRUARY 13, 2025

Employees and managers see different levels of company policy information, with managers getting additional access to confidential data like performance review and compensation details. The role information is also used to configure metadata filtering in the knowledge bases to generate relevant responses.

AI 105

AI AI AWS ML 105

Smart Data Collective

JUNE 10, 2022

As a data engineer, you could also build and maintain data pipelines that create an interconnected data ecosystem that makes information available to data scientists. The role could also involve finding ways to improve the functionality and performance of existing systems and providing access to database analysts and administrators.

Data Science 144

Data Science Data Scientist Machine Learning Machine Learning 144

Hacker News

OCTOBER 20, 2022

We often see how inattention to the law can twist system architectures. If an architecture is designed at odds with the development organization's structure, then tensions appear in the software structure. A dozen or two people can have deep and informal communications, so Conways Law indicates they will create a monolith.

System Architecture 180

System Architecture Database 180

AWS Machine Learning Blog

NOVEMBER 24, 2023

Creating engaging and informative product descriptions for a vast catalog is a monumental task, especially for global ecommerce platforms. The README file contains all the information you need to get started, from requirements to deployment guidelines. This could be any database of your choice.

AWS 123

AWS Database AI AI 123

IBM Journey to AI blog

AUGUST 9, 2023

IBM Power Virtual Servers ( PowerVS) are a cutting-edge Infrastructure-as-a-Service (IaaS) offering designed specifically for businesses looking to harness the power of IBM Power Systems architecture. Performance and reliability: PowerVS leverages IBM Power Systems architecture, known for its outstanding performance and reliability.

Cloud Computing 92

Cloud Computing System Architecture Big Data Analytics Big Data Analytics 92

Pickl AI

DECEMBER 10, 2024

Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. These cutting-edge solutions optimise analytics, middleware, and database performance , enabling businesses to achieve unparalleled efficiency and scalability.

Database 52

Database Analytics Analytics Business Intelligence 52

phData

FEBRUARY 5, 2024

Walking you through the biggest challenges we have found when migrating our customer’s data from a legacy system to Snowflake. Background Information on Migrating to Snowflake So you’ve decided to move from your current data warehousing solution to Snowflake, and you want to know what challenges await you.

SQL 52

SQL Database Data Quality Data Warehouse 52

The MLOps Blog

MARCH 12, 2024

Retrieval Augmented Generation (RAG) enables LLMs to extract and synthesize information like an advanced search engine. Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways.

Database 52

Database Machine Learning Machine Learning AI 52

IBM Journey to AI blog

JULY 18, 2024

In larger distributed systems whose components are separated by geography, components are connected through wide area networks (WAN). The components in a distributed system share information through an elaborate system of message-passing, over whichever type of network is being used.

Cloud Computing 58

Cloud Computing Database Internet of Things ML 58

AWS Machine Learning Blog

MAY 23, 2023

With a comprehensive suite of technical artifacts, including infrastructure as code (IaC) scripts, data processing workflows, service integration code, and pipeline configuration templates, PwC’s MLOps accelerator simplifies the process of developing and operating production-class prediction systems.

Machine Learning 102

Machine Learning Machine Learning AWS ML 102

phData

SEPTEMBER 18, 2024

Fivetran is a data movement platform that offers multiple system architectures that extract data from source systems and centralize it in cloud data warehouses like Snowflake AI Data Cloud , Redshift, and others. To be clear though, your data never leaves your network.

Data Warehouse 52

Data Warehouse System Architecture Data Pipeline Cloud Data 52

The MLOps Blog

APRIL 17, 2023

The data science team can use this information to choose the best model, parameters, and performance metrics. Of course, a relational database would be valuable here. Blob and file storage Some attributes don’t easily fit into a database field, and you’d need a data model to handle this. Can you accept eventual consistency ?

Data Scientist 52

Data Scientist ML ML Machine Learning 52

AWS Machine Learning Blog

MARCH 5, 2025

Or was the database password for the central subscription service rotated again? It requires checking many systems and teams, many of which might be failing, because theyre interdependent. Architecture Tool The Architecture Tool uses C4 diagrams to provide a comprehensive view of the systems architecture.

AWS 123

AWS AI AI Machine Learning 123

AWS Machine Learning Blog

NOVEMBER 12, 2024

Focused on addressing the challenge of agricultural data standardization, Agmatix has developed proprietary patented technology to harmonize and standardize data, facilitating informed decision-making in agriculture. For more information, refer to the Anthropic Claude prompt engineering guide.

AWS 128

AWS AI AI Data Lakes 128

Flipboard

JANUARY 15, 2025

Today, teams at AWS operate a number of safety systems that maintain a high operational readiness bar, and work relentlessly on improving safety mechanisms and risk assessment processes. We conduct a rigorous planning process on a recurring basis to inform how we design and build our network, and maintain resiliency under various scenarios.

AWS 134

AWS Machine Learning Machine Learning System Architecture 134

AWS Machine Learning Blog

APRIL 14, 2025

The solution lies in implementing a multi-agent architecture, which involves decomposing the main system into smaller, specialized agents that operate independently. Stateful architecture Support for stateful and adaptive agents within a graph-based architecture enables more sophisticated behaviors and interactions.

AWS 133

AWS AI AI ML 133