Netflix Tech

NOVEMBER 11, 2022

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?from

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CIO

SEPTEMBER 13, 2023

But watching her 30-minute video on “Vector Embeddings for Beginners” will be time well-spent for many people who have no intention of ever doing hands-on- coding. Let them test, learn, and–as the teams individually and collectively build their generative AI knowledge and skills–start playing to win by deploying to prod.

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Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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Toptal

MARCH 30, 2018

Machine learning, combined with some standard image processing techniques, can result in powerful video analysis tools.

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TechCrunch

MARCH 16, 2022

With video making up more and more of the media we interact with and create daily, there’s also a growing need to track and index that content. Twelve Labs has a machine learning solution for summarizing and searching video that could make quicker and easier for both consumers and creators. But what happens then?

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TechCrunch

DECEMBER 9, 2020

Though ubiquitous on social media, videos are still rare on job platforms, even though it’s difficult to capture your personality in a resume. Sydney, Australia-based myInterview wants to turn videos into an integral part of recruitment, with a platform that allows candidates to upload video responses to questions.

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Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? Machine Learning delivers on this need.

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Netflix Tech

NOVEMBER 11, 2022

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. Manifest is a list of video, audio, subtitles, etc. That’s up to the machine learning model to discover and avoid such false-positive incidents. The features mainly belong to two distinct classes.

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TechCrunch

OCTOBER 27, 2020

The company’s tech already uses machine learning to detect security risks in video, visual, voice, chat and document content shared over video and collaboration tools.

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TechCrunch

DECEMBER 5, 2022

To Jae Lee, a data scientist by training, it never made sense that video — which has become an enormous part of our lives, what with the rise of platforms like TikTok, Vimeo and YouTube — was difficult to search across due to the technical barriers posed by context understanding. Image Credits: Twelve Labs.

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Dzone - DevOps

DECEMBER 19, 2023

This post explores how Lufthansa leverages data streaming powered by Apache Kafka as cloud-native middleware for mission-critical data integration projects and as data fabric for AI/machine learning scenarios such as real-time predictions in fleet management.

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Openxcell

MARCH 21, 2023

MACHINE LEARNING- the most hyped technology these days due to its ability to automate tasks, detect patterns and learn from the data. In this blog, you will find out the importance of Machine Learning and how it is changing the environment around us. What is Machine Learning?

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Palo Alto Networks

JUNE 1, 2023

ChatGPT, a language-based machine learning model, is not exempt from this discussion. Devin explains more in this short video clip: Johnstone also highlights the rise of supply chain attacks, such as the SolarWinds incident, where attackers target organizations connected to the true victims. Want to dig in more?

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Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. And this blog will focus on Predictive Analytics.

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Xebia

JULY 25, 2023

We’ve also utilized AI to produce our very own music videos, creating a rich visual narrative that harmonizes perfectly with our music. Every frame of these videos is a testament to the power of AI in generating compelling visual art. These models are powerful tools that use machine learning to generate human-like text.

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TechCrunch

JUNE 9, 2022

On average , it can take an hour of recording studio time for five minutes of narration; one calculator pegs the price at $75 per minute for even a simple video. CEO Jesse Shemen estimates that more than 300 million people have watched videos translated by Papercup over the past 12 months. But there might be downsides.

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TechCrunch

MAY 6, 2021

It’s widely known that video streaming boomed during the pandemic, as millions of people were faced by boredom during lockdowns. But an unintended consequence of this was the growing environmental impact of millions of video streams, which meant server farms needing to draw increasing amounts of power from the grid. iSIZE , U.K.

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Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.

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TechCrunch

FEBRUARY 22, 2022

Companies that help businesses integrate voice and video communication into their apps and services have proliferated in recent years, with services such as Twilio and Diagflow, an NLP platform developed by Google, burgeoning. Voximplant has raised $10.1

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Lacework

APRIL 19, 2022

Machine Learning (ML) is absolutely everywhere. The big three cloud service providers—AWS, Azure, and Google Cloud—have a ton of different machine learning services, with more on the way. Success stories around machine learning hint at unique and novel solutions to really challenging problems.

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Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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Erik Bernhardsson

AUGUST 4, 2016

I joined Spotify in 2008 to focus on machine learning and music recommendations. In the majority of all products, machine learning will not be a key differentiator in the first five years. Most machine learning is sprinkles on the top. Rarely is machine learning the fundamental enabler of a product.

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Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

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CIO

MAY 30, 2024

The course covers principles of generative AI, data acquisition and preprocessing, neural network architectures, natural language processing, image and video generation, audio synthesis, and creative AI applications. Upon completing the learning modules, you will need to pass a chartered exam to earn the CGAI designation.

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TechCrunch

NOVEMBER 30, 2022

Like “TrueSelf Scan,” the name of the initial application that’s used to scan a person’s image, the meeting software also will not require a VR headset to use and engage with — users will be “seated” in a room that will be shown on a video screen.

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CIO

MAY 2, 2024

According to a recent Microsoft blog , organizations can use security and compliance solutions in Microsoft 365 E5 to have visibility into their threat landscape and leverage built-in AI and machine learning in Microsoft Sentinel and Microsoft Defender for Cloud to proactively manage threats and reduce alert fatigue. Watch the video.

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CIO

SEPTEMBER 29, 2023

Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer. TensorFlow Developed by Google as an open-source machine learning framework, TensorFlow is most used to build and train machine learning models and neural networks.

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CIO

JANUARY 26, 2024

Carnegie Mellon University The Machine Learning Department of the School of Computer Science at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning.

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CIO

MAY 2, 2024

According to a recent Microsoft blog , organizations can use security and compliance solutions in Microsoft 365 E5 to have visibility into their threat landscape and leverage built-in AI and machine learning in Microsoft Sentinel and Microsoft Defender for Cloud to proactively manage threats and reduce alert fatigue. Watch the video.

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Apiumhub

AUGUST 31, 2021

We are extremely proud of our Data Scientist – Gema Parreño , who has been invited to the Game development summit to give a talk about “Interactive Narrative control with Machine Learning”. And if you need help with machine learning, let us know , it is our passion and we would love to hear more about your project!

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Erik Bernhardsson

AUGUST 4, 2016

I joined Spotify in 2008 to focus on machine learning and music recommendations. In the majority of all products, machine learning will not be a key differentiator in the first five years. Most machine learning is sprinkles on the top. Rarely is machine learning the fundamental enabler of a product.

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Cloudera

OCTOBER 14, 2020

The objective of this blog is to show how to use Cloudera Machine Learning (CML) , running Cloudera Data Platform (CDP) , to build a predictive maintenance model based on advanced machine learning concepts. Video – If you’d like to see and hear how this was built, see video at the link. The Process.

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TechCrunch

AUGUST 24, 2023

As Amazon’s Prime Video gears up for its second year as the exclusive rights holder to NFL’s Thursday Night Football (TNF), the streaming service hopes to give fans a more enhanced viewing experience with a slew of new AI-driven features. We think doing that lets people understand the chess match that’s unfolding on the field. “It’s

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Cloudera

DECEMBER 7, 2022

The data innovation that I was most excited to learn about though is the implementation of a human-in-the-loop (HITL) machine learning (ML) solution to assist referees in more accurately calling offsides. What is human-in-the-loop machine learning? A world-class machine learning solution.

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O'Reilly Media - Ideas

NOVEMBER 13, 2018

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Let’s begin by looking at the state of adoption.

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Apiumhub

AUGUST 19, 2021

She is passionate about the intersection of machine learning and games , and has had her own startup , contributed in the open source space in StarCraft machine learning project, and had an experience at Google Brain for Stadia. The road to use machine learning is an ongoing, rigorous, and creative process.

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TechCrunch

FEBRUARY 21, 2023

Replicate , a startup that runs machine learning models in the cloud, today launched out of stealth with $17.8 Replicate , a startup that runs machine learning models in the cloud, today launched out of stealth with $17.8 Firshman and Jansson developed Cog, which runs on any newer macOS, Linux or Windows 11 machine.

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