AWS Machine Learning Blog

OCTOBER 24, 2024

Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills. Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities.

Data Warehouse 118

Data Warehouse Machine Learning Machine Learning Cloud Data 118

phData

NOVEMBER 4, 2024

Snowflake’s cloud-agnosticism, separation of storage and compute resources, and ability to handle semi-structured data have exemplified Snowflake as the best-in-class cloud data warehousing solution. Snowflake supports data sharing and collaboration across organizations without the need for complex data pipelines.

Machine Learning 69

Machine Learning Machine Learning Data Science ML 69

How to Learn Machine Learning

APRIL 26, 2025

Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis. Data Analysis and Modeling This stage is focused on discovering patterns, trends, and insights through statistical methods, machine-learning models, and algorithms.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 16, 2023

For many years, Philips has been pioneering the development of data-driven algorithms to fuel its innovative solutions across the healthcare continuum. Also in patient monitoring, image guided therapy, ultrasound and personal health teams have been creating ML algorithms and applications.

ML 130

ML ML AWS AI 130

AWS Machine Learning Blog

AUGUST 4, 2023

Train a recommendation model in SageMaker Studio using training data that was prepared using SageMaker Data Wrangler. The real-time inference call data is first passed to the SageMaker Data Wrangler container in the inference pipeline, where it is preprocessed and passed to the trained model for product recommendation.

ML 98

ML ML AWS AI 98

phData

FEBRUARY 7, 2024

The Snowflake Data Cloud is a leading cloud data platform that provides various features and services for data storage, processing, and analysis. A new feature that Snowflake offers is called Snowpark, which provides an intuitive library for querying and processing data at scale in Snowflake.

Python 52

Python ML ML SQL 52

Dataconomy

MAY 14, 2025

AI-ready data comes with comprehensive metadata (schema, definitions) to be understandable by humans and AI alike, it maintains a consistent format across historical and real-time streams, and it includes governance/lineage to ensure accuracy and trust. In short, its analytics-grade data prepared for AI. in a query-ready form.

AI 70

AI AI Data Warehouse Data Pipeline 70