Remove Film Remove Innovation Remove Machine Learning
article thumbnail

New Series: Creating Media with Machine Learning

Netflix Tech

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

article thumbnail

Generative AI won’t automate your way to business model innovation

CIO

But as legendary Apple designer Jony Ive once advised Airbnb co-founder and CEO Brian Chesky as the company mulled cuts, “You’re not going to cut your way to innovation.” Future-proofing work now becomes a mandate and an opportunity to innovate. Restructuring and automating are necessary parts of business survival.

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

Supporting content decision makers with machine learning

Netflix Tech

Our catalog of thousands of films and series caters to 195M+ members in over 190 countries who span a broad and diverse range of tastes. The commissioning of a series or film, which we refer to as a title , is a creative decision. as is the uncertainty of the outcome (it is difficult to predict which shows or films will become hits).

article thumbnail

Deepdub raises $20M for AI-powered dubbing that uses actors’ original voices

TechCrunch

The company was founded in 2019 by two brothers, Ofir and Nir Krakowski , whose backgrounds included machine learning and AI expertise. Ofir had held positions in the IAF Ofek unit, including head of data science and integration, chief architect and CTO of the AI branch, plus AI research and innovation manager.).

article thumbnail

Get your data AI-ready

CIO

Across industries, 78 % of executives rank scaling AI and machine learning (ML) use cases to create business value as their top priority over the next three years. CIOs must solve these challenges to achieve organizational AI readiness and unlock innovation.

Data 299
article thumbnail

Recommender Systems: Behind the Scenes of Machine-Learning-Based Personalization

Altexsoft

And what does machine learning have to do with it? In this article, we’re taking you down the road of machine learning-based personalization. You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell.

article thumbnail

Artificial Intelligence 101: What It Is, Its Evolution and Potential Jobs

Apiumhub

Since its conception in the mid-20th century, AI has evolved considerably thanks to advances in machine learning, neural networks, and complex algorithms, enabling its application in increasingly sophisticated fields. This includes activities such as pattern recognition, learning, decision-making, and problem-solving.