Machine Learning

SeaChange Enables a Fully Migrated Cloud Video Delivery Platform

Platform Used to Enable Launch of Screen iL Global Streaming Service for Premium Israeli Content

SeaChange International, Inc. (NASDAQ: SEAC), a leading provider of video delivery platforms, has strengthened its longstanding collaboration with Amazon Web Services (AWS) to enable enhanced data analytics on top of its fully migrated, cloud-based video delivery platform.

Building on a collaboration that dates back to 2016, SeaChange is leveraging AWS’ artificial intelligence (AI) and machine learning (ML) services to facilitate a robust understanding of end-user engagement and improve customer business outcomes. Now, with Amazon SageMaker, SeaChange customers will be able to easily deploy ML use cases like predictive maintenance, computer vision and predicting customer behaviors.

“SeaChange’s StreamVid platform enabled us to launch Screen iL last week, our global streaming service that brings premium Israeli content – on all connected devices – to subscribers around the world,” said Ben Berner, CEO, Screen iL. “Screen iL is the only legal aggregator of Israeli content outside of Israel that combines live and time shift TV with an extensive video on demand library. 

“SeaChange manages the complete cloud-based platform for us and ensures the required scale of the service, supporting our ambitious plans to quickly grow our subscriber base. Moreover, the platform provides us with granular insights about consumption and viewership trends, which helps us to launch personalized campaigns to drive engagement and reduce churn.”

“At SeaChange, we strive to provide our customers with the best technology available. By integrating Amazon Personalize into the SeaChange solution, we will equip our customers with the tools that increase end-user engagement by delivering personalized and relevant content recommendations catered to users’ consumption habits, content preferences and demographics,” said SeaChange SVP of Global Sales and Marketing Chris Klimmer. “Using Amazon SageMaker will also enable us to utilize AI and automated ML to further optimize the business performance of our customers’ services. Our platform will automatically merge data from various sources and deliver predictive insights to user behavior, which in return allows our customers to prevent churn and increase user retention.”

Ankur Mehrotra, Director, Vertical AI Services, at AWS, commented: “Amazon Personalize allows SeaChange customers to deliver a wide array of personalization experiences, channel lineup utilization, VOD catalog engagement, and promotion effectiveness. We are pleased to work with SeaChange to allow brands of any size to benefit from ML-powered personalization technology.”

For more such updates and perspectives around Digital Innovation, IoT, Data Infrastructure, AI & Cybsercurity, go to AI-Techpark.com.

Related posts

Data Annotation Tools Market to reach US$ 13,287.9 Mn by 2030

PR Newswire

Aspirion acquires Infinia ML, an established leader in AI and ML

PR Newswire

Jarvis ML Raises $16M to Democratize Machine Learning

Business Wire