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

Dataconomy

MARCH 20, 2025

These APIs simplify user interactions and expedite the development of data pipelines. Introduction and evolution of TPUs Initially developed for internal use in 2016, TPUs were made publicly available in 2018. High-level APIs Google encourages the use of high-level APIs, such as Keras, for building machine learning models.

Machine Learning 91

Machine Learning Machine Learning Deep Learning Deep Learning 91

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. 3) The emergence of a new enterprise information management platform.

Analytics 40

Analytics Analytics Data Preparation Augmented Analytics 40

AWS Machine Learning Blog

MARCH 14, 2024

For our final structured and unstructured data pipeline, we observe Anthropic’s Claude 2 on Amazon Bedrock generated better overall results for our final data pipeline. The longest drive hit by Tony Finau in the Shriners Childrens Open was 382 yards, which he hit during the first round on hole number 4 in 2018.

SQL 136

SQL AWS AI AI 136

Alation

FEBRUARY 20, 2020

. ; there has to be a business context, and the increasing realization of this context explains the rise of information stewardship applications.” – May 2018 Gartner Market Guide for Information Stewardship Applications. The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data.

Data Governance 52

Data Governance Tableau Analytics Analytics 52

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. We recently developed four more new models.

ML 97

ML ML Deep Learning Deep Learning 97

Flipboard

NOVEMBER 24, 2023

Iris was designed to use machine learning (ML) algorithms to predict the next steps in building a data pipeline. The humble beginnings with Iris In 2017, SnapLogic unveiled Iris, an industry-first AI-powered integration assistant. He works with SaaS and B2B software companies to build and grow their businesses on AWS.

Database 158

Database AWS ETL SQL 158