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 met the criteria and was evaluated by IDC along with eight other vendors.

AWS 97

AWS ML ML Data Preparation 97

IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. And in 2024, global daily data generation surpassed 402 million terabytes (or 402 quintillion bytes). Massive, in fact.

Big Data 106

Big Data Big Data ML ML 106

DataRobot Blog

APRIL 1, 2018

This shift is driving a hybrid data integration mentality, where business teams are given curated data sandboxes so they can participate in building future use cases such as mobile applications, B2B solutions, or IoT analytics. DataRobot Data Prep. 3) The emergence of a new enterprise information management platform. Free Trial.

Analytics 40

Analytics Analytics Data Preparation Augmented Analytics 40

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. The data scientists will start with experimentation, and then once they find some insights and the experiment is successful, then they hand over the baton to data engineers and ML engineers that help them put these models into production.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

And that’s really key for taking data science experiments into production. The data scientists will start with experimentation, and then once they find some insights and the experiment is successful, then they hand over the baton to data engineers and ML engineers that help them put these models into production.

SQL 52

SQL ML ML Python 52

Tableau

FEBRUARY 24, 2021

However, as we dug into the existing studies on data scientists something that we did not expect to find, but that emerged as consistent and important, was how diverse ‘data scientists’ were and how their roles changed in relation to specific data science processes.

Data Science 111

Data Science Data Scientist Data Visualization Computer Science 111

Kaggle

JULY 29, 2020

In August 2019, Data Works was acquired and Dave worked to ensure a successful transition. David: My technical background is in ETL, data extraction, data engineering and data analytics. I was looking forward to the 2020 tournament and had a model I was very excited about.

ETL 71

ETL Data Scientist Data Science Machine Learning 71