AWS Machine Learning Blog

MARCH 10, 2025

It was built using a combination of in-house and external cloud services on Microsoft Azure for large language models (LLMs), Pinecone for vectorized databases, and Amazon Elastic Compute Cloud (Amazon EC2) for embeddings. This integrated workflow provides efficient query processing while maintaining response quality and system reliability.

AWS 83

AWS Database AI AI 83

IBM Journey to AI blog

JULY 18, 2024

Database management is an area empowered by distributed computing, as are distributed databases, which perform faster by having tasks broken down into smaller actions. In “non-cluttered” systems, the shared data might live on one machine or many, but all computers being used in the system need access to the datastore.

Cloud Computing 58

Cloud Computing Database Internet of Things ML 58

phData

FEBRUARY 5, 2024

Setting up the Information Architecture Setting up an information architecture during migration to Snowflake poses challenges due to the need to align existing data structures, types, and sources with Snowflake’s multi-cluster, multi-tier architecture.

SQL 52

SQL Database Data Quality Data Warehouse 52

The MLOps Blog

MARCH 12, 2024

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. Models are part of chains and agents, supported by specialized tools like vector databases.

Database 52

Database Machine Learning Machine Learning AI 52

Pickl AI

DECEMBER 9, 2024

Variety Data comes in multiple forms, from highly organised databases to messy, unstructured formats like videos and social media text. Structured data is organised in tabular formats like databases, while unstructured data, such as images or videos, lacks a predefined format. Veracity Data reliability and quality vary significantly.

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52