DataRobot Blog

OCTOBER 3, 2017

With this integration, customers can now harness the full power of Azure’s Big Data offerings in a self-service manner to gain immediate value.”. Standard Chartered Bank’s Global Head of Technology, Santhosh Mahendiran , discussed the democratization of data across 3,500+ business users in 68 countries. Try now for free.

Data Lakes 52

Data Lakes Azure Data Pipeline Hadoop 52

Smart Data Collective

APRIL 5, 2022

Although SageMaker has become a popular hardware accelerator since it was launched in 2017, there are plenty of other overlooked hardware accelerators on the market. If you want to streamline various parts of the data science development process, then you should be aware of all of your options.

Data Scientist 145

Data Scientist Data Science Machine Learning Machine Learning 145

AWS Machine Learning Blog

JANUARY 6, 2023

The vendors evaluated for this MarketScape offer various software tools needed to support end-to-end machine learning (ML) model development, including data preparation, model building and training, model operation, evaluation, deployment, and monitoring.

AWS 97

AWS ML ML Data Preparation 97

Alation

FEBRUARY 13, 2020

In his research report, From out of nowhere: the unstoppable rise of the data catalog 5, Analyst Matt Aslett makes a strong case for data catalog adoption calling it the “most important data management breakthrough to have emerged in the last decade.”. Ventana Research’s 2018 Digital Innovation Award for Big Data.

Data Governance 52

Data Governance Machine Learning Machine Learning Analytics 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

Thirdly, the presence of GPUs enabled the labeled data to be processed. In 2017, the landmark paper “ Attention is all you need ” was published, which laid out a new deep learning architecture based on the transformer. In order to train transformer models on internet-scale data, huge quantities of PBAs were needed.

AWS 120

AWS ML ML Clustering 120