AI News

SEPTEMBER 27, 2024

Ahead of AI & Big Data Expo Europe, AI News caught up with Ivo Everts, Senior Solutions Architect at Databricks , to discuss several key developments set to shape the future of open-source AI and data governance. It was trained more efficiently due to a variety of technological advances.

Large Language Models 308

Large Language Models Big Data Explainability ETL 308

AI News

AUGUST 29, 2023

Operationalisation needs good orchestration to make it work, as Basil Faruqui, director of solutions marketing at BMC , explains. “If CRMs and ERPs had been going the SaaS route for a while, but we started seeing more demands from the operations world for SaaS consumption models,” explains Faruqui.

Data Ingestion 243

Data Ingestion Big Data Explainability ETL 243

ODSC - Open Data Science

JUNE 19, 2023

With the advent of big data in the modern world, RTOS is becoming increasingly important. As software expert Tim Mangan explains, a purpose-built real-time OS is more suitable for apps that involve tons of data processing. The Big Data and RTOS connection IoT and embedded devices are among the biggest sources of big data.

Big Data 96

Big Data ETL Data Science Artificial Intelligence 96

AWS Machine Learning Blog

FEBRUARY 18, 2025

To handle the log data efficiently, raw logs were centralized into an Amazon Simple Storage Service (Amazon S3) bucket. An Amazon EventBridge schedule checked this bucket hourly for new files and triggered log transformation extract, transform, and load (ETL) pipelines built using AWS Glue and Apache Spark.

Generative AI 71

Generative AI ETL LLM AI 71

Becoming Human

JANUARY 23, 2023

Nowadays most businesses use data science, whether a business is product-based or service-based they use data science for their growth. Data Science and Big Data There is an Umbrella of Big data and what is Big Data?

Data Science 105

Data Science Big Data Data Mining Deep Learning 105

Flipboard

DECEMBER 11, 2024

We also explained the end-to-end user experience of the SageMaker Unified Studio for two different use cases of notebook and query. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. Chiho Sugimoto is a Cloud Support Engineer on the AWS Big Data Support team.

Big Data Architect 158

Big Data Architect Big Data ML Generative AI 158

AWS Machine Learning Blog

FEBRUARY 2, 2024

We calculate the following information based on the clustering output shown in the following figure: The number of dimensions in PCA that explain 95% of the variance The location of each cluster center, or centroid Additionally, we look at the proportion (higher or lower) of samples in each cluster, as shown in the following figure.

ETL 114

ETL DevOps LLM Generative AI 114