DataRobot Blog

APRIL 1, 2018

In Nick Heudecker’s session on Driving Analytics Success with Data Engineering , we learned about the rise of the data engineer role – a jack-of-all-trades data maverick who resides either in the line of business or IT. DataRobot Data Prep. Sallam | Cindi Howson | Carlie J. Try now for free.

Analytics 40

Analytics Analytics Data Preparation Augmented Analytics 40

AWS Machine Learning Blog

APRIL 19, 2023

Since 2018, our team has been developing a variety of ML models to enable betting products for NFL and NCAA football. About the authors Fred Wu is a Senior Data Engineer at Sportradar, where he leads infrastructure, DevOps, and data engineering efforts for various NBA and NFL products.

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ML ML Deep Learning Deep Learning 98

Alation

JULY 7, 2022

In 2018, American Family Insurance became an Alation customer and I became the product owner for the AmFam catalog program. Companies competing for data talent must demonstrate a commitment to building a modern data stack and to supporting a strong internal community of data professionals to attract top prospects.

Data Scientist 52

Data Scientist Data Analyst Analytics Analytics 52

phData

MAY 25, 2023

Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure. This enabled their data engineering teams to create fast and efficient data pipelines that helped feed Power BI reports and eliminated hours of manual work to update Excel and CSV files.

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Power BI Analytics Analytics Azure 84

Snorkel AI

MAY 12, 2023

The reason is that most teams do not have access to a robust data ecosystem for ML development. Recent research published in the Harvard Business Review in 2018 suggests that nearly $31.5 billion is lost by Fortune 500 companies because of broken data pipelines and communications.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 12, 2023

The reason is that most teams do not have access to a robust data ecosystem for ML development. Recent research published in the Harvard Business Review in 2018 suggests that nearly $31.5 billion is lost by Fortune 500 companies because of broken data pipelines and communications.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

ODSC - Open Data Science

MARCH 12, 2025

The field of data science has evolved dramatically over the past several years, driven by technological breakthroughs, industry demands, and shifting priorities within the community. By analyzing conference session titles and abstracts from 2018 to 2024, we can trace the rise and fall of key trends that shaped the industry.

Data Science 52

Data Science Machine Learning Machine Learning Data Engineering 52