Remove Engineering Culture Remove Innovation Remove Machine Learning
article thumbnail

Bringing AIOps to Machine Learning & Analytics

Cloudera

We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. Witnessing these challenges, we focused on solving them through machine learning applied to workload and cluster optimization.

article thumbnail

Article: InfoQ Software Trends Report: Major Trends in 2022 and What to Watch for in 2023

InfoQ Culture Methods

2022 was another year of significant technological innovations and trends in the software industry and communities. The InfoQ podcast co-hosts met last month to discuss the major trends from 2022, and what to watch in 2023. This article is a summary of the 2022 software trends podcast.

Trends 105
Insiders

Sign Up for our Newsletter

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

article thumbnail

How Data Inspires Building a Scalable, Resilient and Secure Cloud Infrastructure At Netflix

Netflix Tech

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. All these micro-services are currently operated in AWS cloud infrastructure.

article thumbnail

A Software Engineering Career Ladder

James Shore

What I’m really doing is changing the engineering culture at OpenSesame. Culture doesn’t change easily. OpenSesame had a pretty innovative approach to career development before I joined. It involved a spreadsheet where engineers would gather evidence of their skills. Bigger than a breadbox, anyway.

article thumbnail

Article: Moving towards a Future of Testing in the Metaverse

InfoQ Culture Methods

In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges.

Testing 123
article thumbnail

Data Engineers of Netflix?—?Interview with Samuel Setegne

Netflix Tech

Before Netflix, Samuel worked at Travelers Insurance in the Data Science & Engineering space, implementing real-time machine learning models to predict severity and complexity at the onset of property claims. Learning more Interested in learning more about data roles at Netflix? You’re in the right place!

article thumbnail

Cross-Functional Teams in Product Development: Definition, Principles and Examples

Altexsoft

Modern businesses have to operate in a rapidly changing environment, so more enterprises are turning to cross-functional teams to foster innovation and stay competitive on the market. This Spotify unit helps the company create a culture of learning, collaboration, and continuous improvement.