The Morning Paper

NOVEMBER 10, 2019

It’s been clear for a while that software designed explicitly for the data center environment will increasingly want/need to make different design trade-offs to e.g. general-purpose systems software that you might install on your own machines. But wow, I didn’t think we’d be at the point yet where we’d be abandoning TCP/IP! Enter Google!

Network 92

Network Transportation Latency Entertainment 92

Testsigma

FEBRUARY 18, 2020

Machine learning: a feature of AI that provides computer systems with the ability to automatically learn and improve from previous experience without being explicitly programmed. While AI has been used for a while now, recent enhancement has made the technology much more innovative and adaptable.

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52

Enprowess

SEPTEMBER 28, 2021

Preact lacks innovation and essentially mimics React. React framework has an entirely synthetic event system, while on the other side, Inferno only supports partial synthetic events and specific functions like onClick. You can shift to the latest updates with Ember’s advanced control system. Preact Vs. React. Ember JS Cons.

Open Source 52

Open Source Mobile Entertainment Virtualization 52

The Netflix TechBlog

FEBRUARY 9, 2021

We need to be constantly adapting and innovating as a result of this change. In particular, it’s our job to design and build the systems and protocols that enable customers from all over the world to sign up for Netflix with the plan features and incentives that best suit their needs.

Engineering 142

Engineering Scalability Architecture Innovation 142

Tim Kadlec

JANUARY 4, 2018

I love the way he manages to wrangle disparate topics across science and history to show how much of innovation and advancement is non-linear. Williams book is an example of why the pop-sci genre became so popular in the first place—it’s well-written, well-researched, engaging and entertaining. This isn’t one of them.

BioTech 45

BioTech Social Media Entertainment Media 45

The Netflix TechBlog

NOVEMBER 12, 2019

Over the years, we have built a recommendation system that uses many different machine learning algorithms to create these personalized recommendations. All of these algorithms and logic come together in our page generation system to produce a personalized homepage for each of our members, which we have outlined in a previous post.

Metrics 124

Metrics Government Systems Testing 124

The Netflix TechBlog

NOVEMBER 12, 2019

Over the years, we have built a recommendation system that uses many different machine learning algorithms to create these personalized recommendations. All of these algorithms and logic come together in our page generation system to produce a personalized homepage for each of our members, which we have outlined in a previous post.

Metrics 100

Metrics Government Systems Testing 100

The Netflix TechBlog

NOVEMBER 12, 2019

Over the years, we have built a recommendation system that uses many different machine learning algorithms to create these personalized recommendations. All of these algorithms and logic come together in our page generation system to produce a personalized homepage for each of our members, which we have outlined in a previous post.

Metrics 100

Metrics Government Systems Testing 100

The Agile Manager

NOVEMBER 30, 2017

Rather than understanding the disruption phenomenon through the lens of change that has already happened, it is worth looking at the change that has not happened but should have given the availability of technology to bring it about. For at least 40 years now, we‘ve been told that technology will revolutionize education.

Technology 40

Technology Technology Education Entertainment 40

The Netflix TechBlog

JANUARY 11, 2022

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. Growth Advertising At Netflix, we want to entertain the world ! Curious to learn more?

Innovation 243

Innovation Metrics Engineering Testing 243

The Netflix TechBlog

JANUARY 25, 2022

The secret sauce that turns the raw ingredients of experimentation into supercharged product innovation is culture. And we own the data pipelines that power everything from executive-oriented dashboards to the personalization systems that help connect each Netflix member with content that will spark joy for them.

Education 238

Education Innovation Testing Programming 238