Dynatrace

JULY 6, 2022

With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. Big data automation tools.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

The Netflix TechBlog

JANUARY 11, 2022

Curious to learn more about other Data Science and Engineering functions at Netflix? To learn about Analytics and Viz Engineering, have a look at Analytics at Netflix: Who We Are and What We Do by Molly Jackman & Meghana Reddy and How Our Paths Brought Us to Data and Netflix by Julie Beckley & Chris Pham.

Innovation 243

Innovation Metrics Engineering Testing 243

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 207

Analytics C++ Innovation Engineering 207

Adrian Cockcroft

FEBRUARY 13, 2023

Margaret leads the worldwide solution architect program for sustainability, and gives an excellent talk on how customers should think about optimizing their workloads. STP213 Scaling global carbon footprint management — Blake Blackwell Persefoni Manager Data Engineering and Michael Floyd AWS Head of Sustainability Solutions.

AWS 64

AWS Energy Architecture Programming 64