article thumbnail

QCon London: Lessons Learned From Building LinkedIn’s AI/ML Data Platform

InfoQ

At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. He specifically delved into Venice DB, the NoSQL data store used for feature persistence. By Rafal Gancarz

article thumbnail

5 key areas for tech leaders to watch in 2020

O'Reilly

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Trends in software architecture, infrastructure, and operations.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

InfoQ Dev Summit in Boston: Two Days of Talks for Senior Developers

InfoQ

InfoQ is delighted to announce a new two-day conference, InfoQ Dev Summit Boston 2024, taking place June 24-25, 2024. This event is designed to help senior developers navigate their immediate development challenges, focusing exclusively on the technical aspects that matter right now. By Artenisa Chatziou

article thumbnail

AI meets operations

O'Reilly

The creation and management of data pipelines isn’t something that operations groups are responsible for–though, despite the proliferation of new titles like “data engineer” and “data ops,” in the future I suspect these jobs will be subsumed into “operations.”. Upcoming events.

article thumbnail

Symphonia at Velocity 2018, and more Serverless Insights

The Symphonia

We’ll get to all of those later on, but first I’m going to start the news this time with a roundup of an interesting day last week… News from the Serverless World Keynote Stage at Velocity 2018 Last week I was at O’Reilly’s Velocity conference in San Jose. Great stuff! I wholeheartedly agree. makers of Fission ?—?the

article thumbnail

The death of Agile?

O'Reilly

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Key survey results: The C-suite is engaged with data quality.